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Online Gather.town Pitches - Clinical & Preclinical
Weekend and Oral

Digital Poster (no CME credit)

Online Gather.town Pitches (no CME credit)

ISMRT Educational Session

ISMRT Poster Presentations (no CME credit)

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Clinical & Preclinical Online Gather.town Pitches (No CME Credit)
Session Title

Diagnosis of Neurological Disorders

Program # 3113 - 3127
Monday, 09 May 2022 | 09:15

Brain, Head & Neck Cancer

Program # 3128 - 3140
Monday, 09 May 2022 | 09:15

Advanced MRI Techniques for Clinical Body Applications

Program # 3141 - 3156
Monday, 09 May 2022 | 09:15

Preclinical Imaging I

Program # 3267 - 3279
Monday, 09 May 2022 | 14:45

Cancer I

Program # 3405 - 3421
Monday, 09 May 2022 | 17:00

Preclinical Imaging II

Program # 3422 - 3440
Monday, 09 May 2022 | 17:00

Pediatric Imaging

Program # 3714 - 3730
Tuesday, 10 May 2022 | 09:15

Multiparameric MRI: Prostate & Rectal Cancer

Program # 3731 - 3745
Tuesday, 10 May 2022 | 09:15

Clinical Perfusion Imaging

Program # 3746 - 3759
Tuesday, 10 May 2022 | 09:15

Multiparametric MR: Liver & Kidney Cancer

Program # 3760 - 3774
Tuesday, 10 May 2022 | 09:15

Pediatrics, Normal Development & Aging I

Program # 3775 - 3790
Tuesday, 10 May 2022 | 09:15

Ocular & Neurological Disorders

Program # 3886 - 3897
Tuesday, 10 May 2022 | 14:30

Pediatrics: Miscellaneous

Program # 4022 - 4028
Tuesday, 10 May 2022 | 16:45

Pediatrics, Normal Development & Aging II

Program # 4029 - 4043
Tuesday, 10 May 2022 | 16:45

Multiparametric MR: Breast Cancer

Program # 4263 - 4277
Wednesday, 11 May 2022 | 09:15

Cancer II

Program # 4278 - 4292
Wednesday, 11 May 2022 | 09:15

Cancer III

Program # 4293 - 4300
Wednesday, 11 May 2022 | 09:15

Miscellaneous Clinical Body MRI

Program # 4476 - 4482
Wednesday, 11 May 2022 | 16:45

Preclinical Imaging III

Program # 4639 - 4653
Thursday, 12 May 2022 | 09:15

Diagnosis of Liver & Kidney Disease

Program # 4654 - 4667
Thursday, 12 May 2022 | 09:15

Preclinical Imaging IV

Program # 4668 - 4679
Thursday, 12 May 2022 | 09:15

Clinical Brain Imaging, Including COVID-19

Program # 4954 - 4968
Thursday, 12 May 2022 | 17:00

Diagnosis of Neurological Disorders

Gather.town Space: North West
Room: 2
Monday 9:15 - 11:15
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

3113
Booth 1
Altered segregation of gray matter structural Covariance Networks in prediabetes
Lingling Deng1, Huasheng Liu1, Wen Liu1, Yunjie Liao1, Qi Liang1, Chen Thomas Zhao2, and Wei Wang1

1Department of Radiology, the Third Xiangya Hospital, Central South University, Changsha, China, 2Philips Healthcare, Guangzhou, China

The structural covariance of connected gray matter has been demonstrated valuable in inferring large-scale structural brain networks. The alterations of grey matter structural covariance networks in prediabetes remains unclear. In this study, the topological features and robustness of gray matter structural covariance networks in prediabetes were examined. Results showed that the prediabetes group retained the small-worldness characteristics. The prediabetes group showed higher clustering coefficient, higher local efficiency and more vulnerable to random failure than healthy controls (HCs) group, suggesting that prediabetes disturbed the segregation of gray matter structural covariance networks, which provided new insights into the pathophysiology of this disease

3114
Booth 2
Changes of brain function in patients with type 2 diabetes by different analysis methods: A new coordinate based meta-analysis of neuroimaging
Zeyang Li1, Teng Ma1, Lin-Feng Yan1, and Guangbin Cui1

1Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi’an 710038, Shaanxi, China, Xi’an, China

Neuroimaging meta-analysis have identified abnormal neural activity alterations involved in type 2 diabetes mellitus (T2DM) patients, but there is no consistency and heterogeneity analysis between different brain imaging processing strategies. For the indicators obtained from varied post-processing methods reflect different neurophysiological and pathological characteristics, we further conducted a coordinated-based meta-analysis (CBMA) for two categories of neuroimaging literature grouped by similar data processing indicators. Compared to healthy controls, T2DM patients showed a significantly decreased brain activity in the right rolandic operculum, right supramarginal gyrus and right postcentral gyrus, providing a new non-invasive biomarker for T2DM neuropathy.

3115
Booth 3
Age Related Atypical Dynamic Brain Activity of Autism Spectrum Disorder Analyzed by Co-Activate Pattern
Yunge Zhang1, Dongyue Zhou1, Wei Zhao1, Guoqiang Hu1, Fengyu Cong1, and Huanjie Li1

1School of Biomedical Engineering, Faculty of Electronic and Electrical Engineering, Dalian University of Technology, Dalian, China

Atypical dynamic brain activities (dBAs) of people with autism spectrum disorder (ASD) were reported related to ASD symptoms. However, the most commonly used dynamic function connectivity method is affected by sliding window size. In this study, co-activate pattern analysis which keeps high temporal resolution and without the limitation of window size, is used to evaluate dBAs. It is found that the atypical dBAs of ASD is related to ASD core symptoms, and the atypical dBAs pattern of ASD is also affected by age.

3116
Booth 4
MRS study on the correlation between frontal GABA+/Glx ratio and abnormal cognitive function in patients with narcolepsy
Yanan Gao1, Yanting Liu1, Sihui Zhao1, Hui Steve2, Mikkelsen Mark2, Edden A.E. Richard 2, Chen Zhang3, and Bing Yu4

1China Medical University, shenyang, China, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA, Baltimore, MD, United States, 3MR Scientific Marketing, Siemens Healthineers, BeiJing, China, 4China Medical University, Shenyang, China

 A series of studies have suggested the cognitive deficits in patients with narcolepsy.  The aim of the current study is to explore the correlation between abnormal GABA+/Glx ratio in sleep state and abnormal cognitive function in patients with narcolepsy using Hadamard Encoding and Reconstruction of Mega-Edited Spectroscopy (HERMES) method. This study demonstrate that the ratio of GABA+/Glx in prefrontal lobe of narcolepsy patients during N2 sleep stage were higher than that of normal control group, which may be related to their abnormal cognitive functions.

3117
Booth 5
Clinical variables, deep learning and radiomics features help predict the prognosis of anti-NMDA receptor encephalitis in Southwest China
Yayun Xiang1, Xiaoxuan Dong2, and Yongmei Li1,3

1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 2College of Computer & Information Science, Southwest University, Chongqing, China, Chongqing, China, 3The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

The establishment and validation of accurate prognostic models in anti-NMDA receptor (NMDAR) encephalitis is lacking. This study aims to conduct an artifificial intelligence (AI) scheme to predict the prognosis of patients with anti-NMDAR encephalitis using clinical and machine learning features. We first bulid the clinical, deep learning and radiomics models, respectively. Then, we fuse the three schemes to build a fusion model and use an independent external dataset for further validation. The new fusion model significantly outperforms all other models. It demonstrates that applying AI method is an effective way to improve the performance of prognosis prediction in anti-NMDAR encephalitis.

3118
Booth 6
Applicable diagnostic model for detecting patients with mental disorders with magnetic resonance imaging
Wenjing Zhang1, Chengmin Yang1, Zehong Cao2, Feng Shi2, and Su Lui1

1Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China

To yield clinical utility in mental disorder identification individually, we used a multiple instance learning-based method to construct a digital model based on clinical MRI scans for automated detection of patients with psychiatric disorders. An accuracy of 84% was achieved in the primary dataset with 19453 subjects, and 76% in external dataset with 600 subjects. A higher sensitivity was achieved in identifying high-risk subjects than self-scaled questionnaires (71.1% vs 22.2%) in 148 prospectively recruited college students. With a complete workflow of development and validation, the constructed model is more practical to be translated in high-risk subject screening among vulnerable populations.

3119
Booth 7
Machine learning–based prediction of post-concussive working memory decline: a 1-year fMRI prospective study
Yi-Tien Li1,2, Yung-Chieh Chen2, Yung-Li Chen3, Duen-Pang Kuo2, and Cheng-Yu Chen2

1Neuroscience Research Center, Taipei Medical University, Taipei, Taiwan, 2Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 3Department of Occupational Therapy, Kaohsiung Medical University, Kaohsiung, Taiwan

The objective of this study is to construct a framework for precise individualized prediction of post-concussive cognitive outcomes based on the early fMRI and neuropsychological biomarkers assessed at baseline to facilitate early therapeutic intervention and individualized rehabilitation strategies. Satisfactory predictions can be achieved for patients whose WM function did not recover after 3 months (accuracy = 87.5%), 6 months (accuracy = 83.3%), and 1 year (accuracy = 83.3%). The results prove the feasibility of using machine learning–based approaches to reveal predictive biomarkers related to poor post-concussive cognitive outcomes.

3120
Booth 8
Altered brain white matter connectom underlie affective disorders after mild traumatic brain injury at the acute stage
Wenjing Huang1, Jing Zhang1, Wanjun Hu1, Pengfei Zhang1, Jun Wang1, and Shaoyu Wang2

1Lanzhou University Second Hospital, Lanzhou, China, 2MR Scientific Marketing, Siemens Healthineers, ShangHai, China

Mild traumatic brain injury (mTBI) is not a static event, but a progressive injury. The neuroanatomical alterations of mTBI at the acute stage can be an initial step of damage leading to cognitive and emotional deficit. The potential mechanisms conferring these deficits are poorly understood. In this study, we employed graph theory to explore alterations of white matter connectome and to study their relationship with neuropsychological examinations. We found disrupted topologic manner of the brain’s structural connectome, and the changes of right middle occipital gyrus explain depressive symptoms in the acute phase of mTBI due to white matter network alterations.

3121
Booth 9
The value of multi-parametric magnetic resonance imaging  in evaluating renal fibrosis
Chenchen Hua1, Lu Qiu2, Leting Zhou3, Yi Zhuang2, Bin Xu1, Liang Wang3, Min Xu4, and Haoxiang Jiang2

1Diagnostic Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China, 2Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China, 3Nephrology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China, 4Human Anatomy, Medical School, Southeast University, Nanjing, China

Chronic kidney disease (CKD) is chronic progressive renal parenchymal damage caused by multiple factors. Evaluation of the degree of renal interstitial fibrosis (IF) is of great importance in treatment and prognosis prediction. Herein, we use multi-parametric magnetic resonance imaging (mpMRI) to assess renal IF noninvasively with intention to identify the optimal MRI biomarkers for clinical application. Our results show that multi-parameter prediction model using cortical longitudinal relaxation time (cT1) and cortical true diffusion coefficient (cDt) can effectively assess the degree of renal IF and support clinical diagnosis, treatment strategy and risk stratification in CKD patients.

3122
Booth 10
Fibre-specific white matter alterations in recovered COVID-19 patients
Yu Shen1, Yan Bai1, Xianchang Zhang2, Yaping Wu1, Menghuan Zhang1, and Meiyun Wang1

1Henan Provincial People's Hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China

The brain fibre-specific changes in patients who recovered from Coronavirus Disease 2019 (COVID-19) for one year but still had anosmia (reCOVID19_ano) deserves to be investigated. This study used fixel based analysis (FBA), which is a novel diffusion MRI post-processing technique that enables fibre tract-specific statistical analysis, to investigate the white matter alterations in reCOVID19_ano. The results revealed that the intra-axonal volume in reCOVID19_ano was significantly increased in several fibre tracts. We speculate that impaired fibre tracts may recover gradually in a compensatory mechanism after one year recovery in reCOVID19_ano patients.

3123
Booth 11
Regional comparison of brain standardized uptake values in FBPA PET-MR with FBPA PET-CT
Chien-Ying Lee1,2, Chia-Wei Li3, Chien-Yuan Lin3, Wen-sheng Huang4, and Ko-Han Lin1

1Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, 2Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 3GE Healthcare, Taipei, Taiwan, 4Department of Nuclear Medicine, Taipei Medical University Hospital, Taipei, Taiwan

18F-fluoro-Boronophenylalanine (FBPA) Positron emission tomography (PET) plays a crucial role for patient selection prior to boron neutron capture therapy. As integrated PET-MR is being used frequently in clinical research and routine, this study aimed to compare regional difference of brain standard uptake values on the PET quantification accuracy in FBPA PET-CT and PET-MR among lesions and normal tissues. Compared to SUVR in PET-CT, PET-MR data showed significant lower SUVR in lesion regions, while no significance was observed in the normal tissue regions. The result of this study may accelerate the routine use of PET-MR in tumoral quantification before BNCT.

3124
Booth 12
The T1mapping, T2mapping findings in patients with minimal hepatic encephalopathy and their impact on cognition value
Wenxiao Liu1,2, Minglei Wang2, Xiaocheng Wei3, Min Li3, Jianguo Zhao2, Xin Ge1, Xuhong Yang1, Peng Yong1, and Xiaodong Wang2

1Ningxia Medical University, Yinchuan, China, 2General Hospital of Ningxia Medical University, Yinchuan, China, 3GE Healthcare, Beijing, China

In this study, we aim to investigate whether T1mapping and T2mapping can be used as diagnostic tools for screening MHE, and strive earlier time for diagnosis and treatment for these patients. It was concluded that T1 values of bilateral putamen, right globus pallidus and bilateral frontal lobe in MHE group were statistically significant compared with HC group and NMHE group and the T2 values of right putamen and right frontal lobe were statistically significant. In addition, the T2 values of the HC group in this study were highly correlated with Hallgren and Sourander’s autopsy results.

3125
Booth 13
Cerebellar iron accumulation in idiopathic cervical dystonia evaluating by quantitative susceptibility mapping
Hongxia Li1, Ming Zhang2, Hongjiang Wei2, and Yiwen Wu1

1Department of Neurology & Institute of Neurology, Ruijin Hospital, affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

We found increased susceptibility in patients compared with HCs that primarily involved cerebellar structures . The result of 2D-flatmap visualization showed that the involved subregions of iron accumulation were in the right Crus Ⅱ and right lobule Ⅶb. Interestingly, no significant differences in QSM value of basal ganglia, thalamus, or motor cortex were observed between ICD patients and HCs. Moreover, there was no significant difference between groups regarding the GMV in the cerebellum. Of consistent findings with standard structural MRI technique highlights the potential of probing tissue iron across the cerebellum with QSM as a disease biomarker
 

3126
Booth 14
Stage-dependent differential influence of metabolic and structural networks on memory across Alzheimer’s disease continuum
Xing Qian1, Kok Pin Ng2,3,4, Kwun Kei Ng1, Fang Ji1, Pedro Rosa-Neto 5,6, Serge Gauthier 6, Nagaendran Kandiah 2,3,4, and Juan Helen Zhou 1,3,7,8

1Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, Singapore, Singapore, 2Department of Neurology, National Neuroscience Institute, Singapore, Singapore, Singapore, 3Duke-NUS Medical School, Singapore, Singapore, Singapore, 4Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore, Singapore, Singapore, 5Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, Canada, Montreal, QC, Canada, 6Alzheimer’s Disease Research Unit, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, Canada, Montreal, QC, Canada, 7Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore, Singapore, Singapore, 8Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore, Singapore, Singapore

While emerging evidence suggests the association between network neurodegeneration and memory varies with pathology in Alzheimer’s disease (AD), the trajectory of this relationship remains elusive. We stratified 708 participants into non-amyloid/non-tau, tau-only, and AD pathology groups and examined the associations between individual-level structural and metabolic network integrity and memory across cognitive stages (cognitively normal, mild cognitive impairment, and probable AD) in each pathology group. The associations of hippocampal and default mode networks with memory exhibited differential pathology-dependent trajectories across cognitive stages. Our findings pave the way for early interventions and stage-dependent remedies to modify disease trajectory and improve clinical outcomes.

3127
Booth 15
Infarct core estimation with ADC: A retrospective study
Yingying Dong1, Yu Luo2, Mingming Wang2, Quan Tao2, and He Wang3

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China, 31Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University 2Human Phenome Institute, Fudan University, Shanghai, China

According to a large amount of emergency and follow-up data, we propose an optimized threshold of the apparent diffusion coefficient to identify the ischemic core with fair accuracy, which is crucial for the decision of the treatment scheme and operation mode.


Brain, Head & Neck Cancer

Gather.town Space: North West
Room: 1
Monday 9:15 - 11:15
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

3128
Booth 1
Changes in serial DWI MRI imaging during radiation therapy can predict treatment response in patients with head and neck cancer
Yuvnik Trada1,2, Paul Keall2, Michael Jameson3, Daniel Moses4,5, Peter Lin6,7, Phillip Clap5,8, Lois Holloway8,9, Myo Min10,11, Dion Forstner3, Allan Fowler9, and Mark Lee5,9

1Radiation Oncology, Calvary Mater Newcastle, Waratah, Australia, 2The University of Sydney, Sydney, Australia, 3GenesisCare St Vincents Hospital, Sydney, Australia, 4Department of Medical Imaging, Prince of Wales Hospital, Sydney, Australia, 5University of New South Wales, Sydney, Australia, 6Department of Nuclear Medicine and PET, Sydney, Australia, 7Western Sydney University, Sydney, Australia, 8Ingham Institute of Applied Medical Research, Liverpool, Australia, 9Liverpool Hospital, Liverpool, Australia, 10Sunshine Coast University Hospital, Sunshine Coast, Australia, 11University of Sunshine Coast, Britinya, Australia

In head and cancer there is a need for a predictive biomarker for patients undergoing radiotherapy(RT) to allow personalisation of treatment.55 patients with HNSCC had DWI imaging performed at baseline, during (week 2, 3, 5 and 6) and post RT (1 and 3 months). Absolute and change in primary tumour ADCmean was correlated to local recurrence.Week 3 was the optimal timepoint for mid-treatment response assessment. Change in week 3 ADCmean of <24.4% predicted local recurrence; corresponding 2 year LRFS of 97% vs 42%.Changes in mid-treatment DWI imaging could be utilised in design of future adaptive clinical trials.

3129
Booth 2
The performance of pretreatment MR-based radiomics in RHES combined chemoradiotherapy response prediction in nasopharyngeal carcinoma.
Lixuan Huang1, Zongxiang Yang1, Hao Ren2, Cheng Tang1, Huiting Zhang3, Yang Song3, and Liling Long1

1The First Affliated Hospital of Guangxi Medical University, Nanning, China, 2Guangxi Medical University Kaiyuan Langdong Hospital, Nanning, China, 3Siemens Healthineers, Shanghai, China

This study is to investigate a MRI radiomics model based on pre-treatment texture features to explore its application value in predicting the efficacy of recombinant human endostatin(RHES) combined concurrent chemoradiotherapy for nasopharyngeal carcinoma. The results showed that the AUC and the accuracy   of radiomics-clinics combine model and radiomics model for response assessment in nasopharyngeal carcinoma(NPC) was higher than clinics model. These suggest that pretreatment MRI based radiomics could predict RHES combined concurrent chemoradiotherapy response in NPC, its accuracy was better than clinics model.


3130
Booth 3
Combined 7T CEST/MRS imaging to predict tumor metabolism in glioma
Yifan Yuan1, Qi Yue1, Xiang Zou1, Yu Guo1, Ying-Hua Chu2, Yi-Cheng Hsu2, Patrick Liebig3, Wenwen Yu4, He Wang4,5, Liang Chen1, and Ying Mao1

1Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China, 2Siemens Healthineers Ltd., Shanghai, China, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 5Human Phenome Institute, Fudan University, Shanghai, China

Magnetic resonance imaging has been applied in intraoperative neuro-navigation and irradiation guidance in glioma diagnosis. The contrast-enhanced MRI or peritumor edema on T2w image is not precise enough to delineate tumor infiltration. MR spectroscopy (MRS) and chemical exchange saturation transfer (CEST) have been used to evaluate tumor metabolism. Studies showed that amino acid PET surpassed conventional MR imaging for tumor delineation. Here, we explored the correlation between MRS and CEST at 7T and chose PET as gold standard to investigate multimodal MR imaging for glioma metabolic characteristics and tumor extent. An exemplary case with stereotactic biopsy proof was shown.

3131
Booth 4
Molecular subgrouping of pediatric medulloblastoma by APT radiomics
Junjie Wen1, Hongxi Zhang2, Zhipeng Shen3, Xiaohui Ma2, Xinchun Chen2, Weibo Chen4, Dan Wu1, and Yi Zhang1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hang Zhou, Zhejiang, China, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhejiang, China, 3Department of Neurosurgery, Children’s Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhejiang, China, 4Philips Healthcare, Shanghai, China

APT imaging and its derived metric maps were applied to identify molecular subgroups of medulloblastoma for the first time. Thirty-eight newly-diagnosed pediatric patients with medulloblastoma were enrolled in this study and scanned on a 3T scanner. We implemented a radiomic analysis of the APT-related metric maps, with initial regions of interest delineated by an experienced radiologist and then shrunk automatically. After feature extraction and selection, five different classifiers were tested with both single-metric and multi-metric maps. We successfully established predictive models to differentiate the subgroups of medulloblastoma with good accuracy of 0.754.

3132
Booth 5
The application of multi-mode MR imaging technology in the tumor infiltration boundary of cerebral glioma
Jin Li1, Xiangrong Li1, and Huiting Zhang2

1The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2MR Scientific Marketing, Siemens Healthineers, Wuhan, China

We explored the applied value of multi-mode MR imaging technology, including diffusion kurtosis imaging (DKI), arterial spin labeling (ASL) and 1H-MRS, in glioma tumor invasion boundary. Results showed mean kurtosis from DKI and apparent diffusion coefficient had the highest diagnostic efficiency between high-grade (HGG) and low-grade gliomas (LGG). There were significant differences in CHO/Cr and NAA/Cr from 1H-MRS between the solid area and the proximal peritumoral edema area (PEA), and CHO/Cr and NAA/Cr in different PEA of LGG or HGG. PEA within 1cm around the solid area is recommended to be resected to decrease recurrence rate.

3133
Booth 6
Multi-stage ensemble machine learning for predicting the pathology of thyroid micronodules on small-datasets high b-value thyroid DWI
ChengLong Deng1,2, BingChao Wu1,2, QingJun Wang3, QingLei Shi4, Bei Guan1,2, Dacheng Qu5, ChenXi Li1,2, DaoGuang Zan1,2, XiaoLin Chen1,2, and YongJi Wang1,2

1Collaborative Innovation Center, Institute of Software Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, The 6th Medical Center of Chinese PLA General Hospital, Beijing, China, 4MR Scientific Marketing, Siemens Healthcare, Beijing, China, 5School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

In this paper, a multi-stage ensemble learning based on the majority voting mechanism was designed to leverage the contradiction between an insufficient number of thyroid MRI and well-trained deep learning models that accurately predicted the pathology of thyroid micronodules. And its clinical applicability value was also assessed in terms of micronodule risk stratification and optimal regimen selection on high b-value (2000 s/mm2) diffusion-weighted images. Experimental results proved that our model had the capability of effectively distinguishing benign and malignant micronodules on small-dataset thyroid DWI images.

3134
Booth 7
Feasibility of Integrating 7 Diffusion Models within a Single Acquisition and Their Performance Comparison in Glioma Grading
Minxiong Zhou1, Huiting Zhang2, Ankang Gao3, Shaoyu Wang2, Jie Bai3, Guang Yang4, Jingliang Cheng3, and Xu Yan2

1Shanghai University of Medicine & Health Sciences, Shanghai, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 3Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 4Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science,East China Normal University, Shanghai, China

There are many advanced diffusion models available for neural and body researches, while their acquisitions are different and  normally difficult to be joint applied and compared in one study. In this study, we tried to calculate 7 diffusion models, including 4 neural and 3 cancer related models, using data from one acquisition, and applied it for glioma. Two diffusion acquisition strategy were evaluated, and the performance of these models in glioma grading was also compared. The result showed that both acquisition strategies could generate high quality quantitative parameters for all models, which showed significant differences between high- and low-grade tumor.

3135
Booth 8
Evaluation of diagnostic and prognostic value of high-resolution 3D 1H-MRSI for patients with newly diagnosed glioma
Bin Bo1, Tianyao Wang2, Ziyu Meng1, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Xin Yu5, Zhi-Pei Liang3,4, and Yao Li1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Conventional structural MRI has limited specificity in defining the extent and grade of glioma. MRSI complements MRI in tumor tissue characterization with neurometabolic fingerprints. In this study, we investigated the use of high-resolution 3D MRSI for glioma grading and evaluation of patient overall survival. Our results showed that the neurometabolic biomarkers could differentiate low-grade from high-grade gliomas and provide prognostic value for overall survival of newly diagnosed glioma patients.

3136
Booth 9
Characterizing meningioma subtypes using MRI-cytometry
Ying-Hua Chu1, Yifan Yuan2, Xueying Zhao3, He Wang3,4, Thorsten Feiweier5, and Yi-Cheng Hsu1

1Siemens Healthineers Ltd., Shanghai, China, 2Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China, 3Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China, 5Siemens Healthcare GmbH, Erlangen, Germany

We used MRI-cytometry to estimate the mean cell diameter and intracellular volume of tumors of the meningioma subtype classification. We found cell size and intracellular volume to be very different between the three meningioma subtypes in this preliminary study. Our results reflected high collagen volume among the extracellular space in fibrous meningioma. We plan to scan more patients in the future to find a useful biomarker using MRI-cytometry.

3137
Booth 10
Differentiation of T1 stage nasopharyngeal carcinoma and lymphoid hyperplasia by mono-exponential and bi-exponential metrics of TSE DWI
Yifan Liu1, Shasha Bao1, Nan Xu1, Xiaobin Guo1, Chengde Liao1, Zhongping Zhang2, and Tengfei Ke1

1Dept. of Radiology, Yunnan Cancer Hospital, Kunming, China, 2Philips Healthcare China, Guangzhou, China

We aimed to differentiate between T1 stage nasopharyngeal carcinoma (NPC) and nasopharyngeal lymphoid hyperplasia using multiple b-values Turbo-spin-echo DWI acquisition. Turbo-spin-echo DWI were adopted to minimize susceptibility artifacts in nasopharynx. Mono-exponential and bi-exponential models were both used to generate ADC, D, D* and f maps. We found that T1 stage NPC had significant lower ADC and D, higher D* than nasopharyngeal lymphoid hyperplasia. Furthermore, D has best diagnostic efficacy with highest area under curve in ROC analysis, indicating that it's a potential imaging biomarker for accurate early diagnosis of T1 stage NPC.

3138
Booth 11
A time-related random forest survival model based on MR imaging markers to predict the survival of patients with nasopharyngeal carcinoma
Chao Luo1, Haixia Li2, Kan Deng2, and Haojiang Li1

1Sun Yat-sen University Cancer Center, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

This study aimed to identify magnetic resonance (MR) imaging markers associated with the overall survival (OS) of patients with nasopharyngeal carcinoma (NPC) and establish a random survival forest (RSF) model, which is a time-related machine learning model for survival analysis, to predict their survival.

3139
Booth 12
Three-dimension Amide Proton Transfer Imaging for Predicting the Treatment Response of Nasopharyngeal Carcinoma
Wenguang Liu1, Yigang Pei1, Simin Xie1, Xiao Wang1, Yu Bai1, Gaofeng Zhou1, Weiyin Vivian Liu2, and Wenzheng Li1

1Department of Radiology, XiangYa Hospital, Central South University, Changsha, China, 2GE Healthcare, Beijing, China

To predict the treatment response for NPC patients is very important. This study aimed to explore the diagnostic performance of 3D APT imaging on predicting the treatment response of NPC patients. A total of 40 patients and 14 healthy volunteers were identified in this study. Result show that the APT and MT values have good and excellent intra- and inter-observer agreement. It is significant difference for MT values between residual and non-residual group. The result suggests that the pre-treatment MT values can be used to predict treatment response of NPC with chemoradiotherapy, and better than the APT and ADC value.

3140
Booth 13
Predicting the risk grades of thymic epithelial tumors using magnetic resonance T1 mapping and diffusion weighted imaging: a pilot study
Chenxi Liu1, Shengzhong Wang2, Xiaocheng Wei3, Gang Xiao1, YUchuan Hu1, and Guangbin Cui1

1Tangdu Hospital, Air Force Medical University, Xi'an, China, 2Shaanxi University of Traditional Chinese Medicine, Xi'an, China, 3GE Healthcare, Beijing, China

The pathological staging system of Thymic epithelial tumors (TETs) which called Masaoka staging, is an important prognostic factor, and its impact on survival is much greater than that of WHO classification. However, as the Masaoka stage can only be established postoperatively, preoperative imaging has important implications concerning treatment strategy. This study analyzes the differences of T1 values and ADC values in different regions, different types and stages of TETs tumors, and establishes a reliable noninvasive imaging technology to distinguish the risk classification and stage of tumors.


Advanced MRI Techniques for Clinical Body Applications

Gather.town Space: South East
Room: 1
Monday 9:15 - 11:15
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

3141
Booth 1
The relationship between pubic bone and pubococcygeus muscle injury in transvaginal delivery primiparas using MRI
Cheng Zhang1, Yujiao Zhao1, Cong You1, Zhiwei Shen2, and Wen Shen1

1Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 2Philips healthcare, Beijing, China

As transvaginal delivery may led to bony and soft birth canal injury, this study aimed to explore the possible relationship between the pelvic bones injury and the pelvic floor support muscles injury. In this study, we found that the pubic injury with significant clinical symptom may suggest the occurrence of pubococcygeus muscle injury with hidden symptoms. With the increased severity of the pubic bone injury, the higher the rate and severity of pubococcygeus muscle injury could be detected, which could be used to guide the clinical evaluation of abnormalities and corresponding rehabilitation treatment in time.


3142
Booth 2
The value of Combining ADC value with Texture Analysis to Preoperatively Predict the Expression Levels of Ki-67 and p53 of Endometrial Carcinoma
xueyan jiang1

1Anhui Provincial Cancer Hospital, Hefei, Anhui, hefei, China

In conclusion, a combination of ADC values and TA based on three MRI sequences was developed to provide a noninvasive method for preoperatively predicting the expression levels of Ki-67 and p53 in EC. To some extent, this noninvasive imaging marker can compensate for the limitation of endometrium curettage biopsy and adverse impact of tumor heterogeneity, and it provide an objective imaging basis for clinical and accurate individualized treatment.

3143
Booth 3
Evaluation of Endostar and chemoradiotherapy combination efficacy on cervical cancer bydiffusion kurtosis imaging histogram analysis
Lanhui Qin1, Jin-ting Que1, Xin-shu Li1, Wei-hui Xu1, Sheng-lian Wen1, Huiting Zhang2, Fang Wu1, and Jin-yuan Liao1

1First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2MR Scientific Marketing, Siemens Healthcare Ltd, Nanning, China

This study explored the feasibility of whole tumor diffusion kurtosis imaging (DKI) histogram analysis (HA) to assess concurrent chemoradiotherapy (CCRT) combined with Endostar for locally advanced cervical cancer (LACC) before and during treatment. In terms of predicting efficacy, DKI whole tumor HA showed higher sensitivity and specificity, and higher the area under the ROC curve in the CCRT plus Endostar than in the CCRT group. During the treatment of LACC using  Endostar, compared with the mean value of ADC, MD, MK and tumor diameter, DKI whole tumor HA showed excellent potential in monitoring treatment response and predicting early efficacy.
 

3144
Booth 4
Comparison of Ultrashort Echo Time MRI with High-Resolution CT for the Assessment of Idiopathic Pulmonary Fibrosis
Xiaoyan Yang1, Min Liu1, Jing An2, Thomas Benkert3, Huaping Dai1, and Chen Wang1

1China-Japan friendship hospital, Beijing, China, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3Siemens Healthcare GmbH, Erlangen, Germany

This study investigated the feasibility of ultrashort echo time (UTE)-MRI to evaluate the radiologic findings of idiopathic pulmonary fibrosis, using high resolution CT (HRCT) as the reference standard. UTE-MRI is inferior to HRCT in identifying the details of lung parenchyma. The results suggest that UTE-MRI is equivalent to HRCT. In addition, inter-method agreement between UTE-MRI and HRCT were equal to inter- and intra-observer agreement for UTE-MRI for evaluating disease findings. Moreover, performance analyses demonstrated that UTE-MRI efficacy for detecting radiologic findings of pulmonary fibrosis, such as reticulation, traction bronchiectasis, and honeycombing were similar to that of HRCT.

3145
Booth 5
Monoexponential, bi-exponential, and diffusion kurtosis MR imaging models in the diagnosis of placenta accreta spectrum disorders
Tao Lu1, Yishuang Wang1, and Shaoyu Wang2

1Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China, 2MR Scientific Marketing, Siemens Healthineers, shanghai, China

This study investigated the diagnostic value of monoexponential, biexponential, and diffusion kurtosis MR imaging (MRI) in differentiating placenta accreta spectrum (PAS) disorders. The results showed that D mean and D max differed significantly among all the studied parameters for differentiating PAS disorders. A combined use of these two parameters yielded an AUC of 0.93 with sensitivity, specificity, and accuracy of 83.08%, 88.89%, and 83.70%, respectively. This suggested the quantitative evaluation of PAS disorders with different DWI models and PAS disorders can be differentiated effectively with the combined use of the different DWI parameters.

3146
Booth 6
Monitoring the response to induction therapy of multiple myeloma by diffusion weighted and mDIXON Quant whole body imaging
Mengtian Sun1, Jingliang Cheng1, Cuiping Ren1, Jie Ma2, and Liangjie Lin3

1MRI, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Philips Healthcare, Beijing, China

This study aims to investigate the value of whole-body DWIBS and mDIXON Quant imaging in monitoring the response to induction therapy of multiple myeloma focal lesions (FLs). Significant differences in the number of multiple myeloma focal lesions (FLs), the maximum diameter of FLs, ADC, FF, T2* values, ADC change rate, FF change rate and T2* change rate were observed between the deep remission group and the non-deep remission group. The FF change rate was the best discriminator of the deep remission.

3147
Booth 7
Real-time MRI for assessment of patients with esophageal hiatal hernia: a feasibility research
Chao Wu1, Peng Zhang1, Chen Zhang2, Yajun Li1, and Haoran Sun1

1Tianjin Medical University General Hospital, Tianjin, China, 2Siemens Healthcare, Beijing, China

The purpose of this study was to observe the swallowing process of hiatal hernia patients using real-time magnetic resonance imaging (MRI) and to evaluate the transport of contrast agents through the gastroesophageal junction and the induction of sliding hernia during Valsalva. Results showed that hiatal hernia was detected in all patients enrolled in the study. Therefore, real-time MRI imaging of sliding hiatal hernia has great potential for clinical application.

3148
Booth 8
Preliminary Application of Magnetization Transfer Imaging in EndometrialCarcinoma and Cervical Cancer
Qiu Bi1, Qing Li1, Yunzhu Wu2, Shaoyu Wang2, and Kunhua Wu1

1the First People’s Hospital of Yunnan Province, Kunming, China, 2Siemens Healthineers, Shanghai, China

Magnetization transfer imaging (MTI) is sensitive to reveal macromolecules in tumor tissues. This study aimed to evaluate the correlation between magnetization transfer ratio (MTR) and histological features and risk stratification in endometrial carcinoma and cervical cancer. We found that MTR value could differentiate endometrial carcinoma from cervical cancer and facilitate preoperative risk stratification of endometrial carcinoma. It could provide a preoperative basis for cancerous histologic origin and risk assessment in uterus.

3149
Booth 9
Assessment of lumbra osteoporosis using MRI fat content quantitative technology:comparison with QCT
Chumin Huang1, Zisan Zeng1, and Huiting Zhang2

1Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2MR Scientific Marketing, Siemens Healthnieers, Hubei, China

The purpose of this study is to explore the feasibility of magnetic resonance imaging (MRI) 3D multi-echo-Dixon (ME-Dixon) and T2-corrected multi-echo single-voxel (HISTO) spectroscopy sequences to evaluate osteoporosis by comparison with quantitative computed tomography (QCT). The results show that the proton density fat fraction (PDFF) values of bone marrow measured by these two MRI methods have high and significantly negative correlation with bone mineral density (BMD) values measured by QCT at lumbar.

3150
Booth 10
The Effect of Implant for Lumbar Assessment in Simultaneous TOF PET/MR: A Preliminary Report
Wei-Min Hung1, Ching-Wei Gu1, Guo-Shu Huang1, Charng-Chyi Shieh2, Chia-Wei Li2, Yen-Chang Chen2, and Yi-Chih Hsu1

1Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, 2GE Healthcare, Taipei, Taiwan

This study focused on the accuracy of standardized uptake value (SUV) reconstructed using the corrected MR attenuation correction (MRAC) images with time-of-flight (TOF) information by PET in patients with metallic implants. We compared the SUV of both paraspinal and psoas muscles in patients with and without implant for TOF reconstructed PET images. In the result, there was no significance in the SUV measurements obtained from MRAC between no-implant and with-implant patients. And therefore, our study demonstrated that SUVs measured from TOF PET/MR of lumbar implant indicated good reliability and robust of MRAC.

3151
Booth 11
Multi-Parametric MRI in Diagnosing Ovarian Endometrioma: a Feasibility Study
Fang Wang1, Dawei Ding2, Weiqiang Dou3, Dmytro Pylypenko3, Qing Wang1, and Dexin Yu1

1Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 2Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China, 3GE Healthcare, Beijing, China

This study aims to investigate the feasibility of multi-parametric MRI in distinguishing endometrioma from other ovarian cystic lesions. A total of 50 patients with clinically suspected endometriosis were recruited in the study. Quantitative MRI, including T1, T2 mapping, T2* mapping and CEST, was used. A positive correlation was found between R2* and iron levels in fluid of endometrioma. The AUC of R2*, T1, T2 and MTR_asym were 0.941, 0.996, 0.980 and 0.806, respectively. Therefore, multi-parametric quantitative MRI can be considered an effective method in differentiating endometriomas from various ovarian cystic lesions.

3152
Booth 12
Amide proton transfer and diffusion kurtosis imaging technology in differentiation stage Ia endometrial carcinoma and endometrial polyp
Shifeng Tian1, Ailian Liu1,2, Changjun Ma1, Lihua Chen1, Nan Wang1, Liangjie Lin3, Jiazheng Wang3, and Zhigang Wu3

1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China, 3Philips Healthcare, Beijing, China

Endometrial polyps (EP) is a common disease of uterine body, with a prevalence rate of about 8~25% in female population. Its clinical symptoms can be like those of endometrial carcinoma (EC), with vaginal bleeding, but there are obvious differences in prognosis and treatment between them. The purpose of this study is to investigate the value of differential diagnosis for staging Ia EC and EP by using amide proton transfer (APT) and diffusion kurtosis imaging (DKI). It shows that APT and DKI can be used to distinguish between stage Ia EC and EP. effectively and quantitatively

3153
Booth 13
Dynamic functional network connectivity and its association with lipid metabolism in Alzheimer’s disease
Feifei Zang1, Xinyi Liu1, Dandan Fan1, Cancan He1, Zhijun Zhang2, and Chunming Xie2

1Southeast University, Nanjing, China, 2Southeast University Affiliated ZhongDa Hospital, Nanjing, China

Brain networks of Alzheimer’s disease (AD) represent the fluctuating functional connectivity with time. Using the sliding-window method, this study identified two different functional connectivity states at the large-scale network level in AD spectrum. The AD patients took more time in the tense-connected state II than the non-AD populations. Moreover, lipid metabolism-related factors affected the dynamic network connectivity across the AD spectrum populations. These results provide insights into the neural biological underpinnings of the dynamic networks reorganization for AD pathophysiology.

3154
Booth 14
The value of DKI technique in the study of brain Microstructural damage and Cognitive function in patients with OSAHS
Ning Zhang1, Kun Peng2, Ailian Xiao2, and Jinxia Guo3

1Shanxi Medical University, Taiyuan, China, 2The Sixth Hospital of Shanxi Medical University, Taiyuan, China, 3GE Healthcare, Beijing, China

Obstructive sleep apnea hypopnea syndrome (OSAHS) can lead to cognitive dysfunction, and in severe cases, it may develop into dementia. Early, timely and accurate diagnosis is of great significance to delay the progression of the disease, improve the quality of life and improve the prognosis. Diffusion kurtosis imaging (DKI) based on non-Gaussian model to characterize the diffusion of water is regarded as a more sensitive technology to explore the microstructural tissue changes in compare with diffusion tensor imaging (DTI). In this study, the mean kurtosis (MK) from DKI is used to assess the possible abnormality of brain regions in white and gray matter in moderate and severe OSAHS patients. And the correlation between MK values and cognitive function changes was also analyzed. The MK was found to be associated with changes in 9 brain regions including right postcentral gyrus gray matter, parietal lobe gray matter, insular gray matter, left precentral gyrus white matter, frontal lobe white matter and bilateral cingulate gyrus, left occipital lobe gray matter, and well correlated with attention, delayed recall, which can be helpful for understanding of the potential mechanism for neurocognitive function impairment and doing the evaluation.

3155
Booth 15
Structural connectivity abnormality in trigeminal neuralgia with pain relief using graph theory analysis
shanshan Shen1, shuqian Zhang1, yingmin Chen1, and Lizhi Xie2

1Hebei General Hospital, Shijiazhuang, China, 2GE Healthcare, Shijiazhuang, China

Trigeminal neuralgia (TN) characterized by recurring paroxysmal pain, severely affects the quality of life (QoL) of patients. In this study, we compared brain network frame remodeling in TN patients before and after percutaneous micro-balloon compression (PMC) operation with healthy controls (HCs) using graph theory analysis. Both TN pre-treatment patients (Pre) and HCs exhibited small-world network organization. Pre TN patients had abnormal global network construction, Pos recovered, but in local network index increased. Graph theory analysis could be a useful method to detect instant change after operation.

3156
Booth 16
Highly accelerated sub-millimeter 3D T2 FLAIR based on deep learning and its application in robot-assist PBC for trigeminal neuralgia
Qiangqiang Liu1,2, Shuheng Zhang3, Jiwen Xu1,4, Jiachen Zhu3, Yiwen Shen5, Changquan Wang2, Wenzhe Chen2, Jun Yang3, and Jianmin Yuan6

1Department of Neurosurgery, Clinical Neuroscience Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China, 3United Imaging Healthcare, Shanghai, China, 4Clinical Neuroscience Center, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 5Department of Radiology, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 6Central Research Institute, United Imaging Healthcare, Shanghai, China

With 3D T2 FLAIR imaging, trigeminal nerve is clearly demonstrated with CSF nulled, while low SNR and low spatial resolution is always the limitation. In this study, we introduced a 0.75mm isotropic resolution whole brain 3D T2 FLAIR imaging in 5min 40sec based on a novel deep learning framework, and evaluated on a small patient cohort who underwent MR-guided robot-assist percutaneous balloon compression (PBC). To our knowledge, this is the first clinical report of MR-guided robot-assist PBC surgery based on DL accelerated 3D scan.


Preclinical Imaging I

Gather.town Space: North East
Room: 6
Monday 14:45 - 16:45
Clinical & Preclinical
Module : Module 13: Preclinical Imaging

3267
Booth 1
Measuring changes in placental morphology using magnetic resonance imaging in a preclinical model of human pregnancy
Dimitra Flouri1,2, Jack RT Darby3, Stacey L Holman3, Sunthara R Perumal4, Sebastien Ourselin1, Anna L David5,6, Andrew Melbourne1,2, and Janna L Morrison3

1School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 3Early Origins of Adult Health Research Group, University of South Australia, Adelaide, Australia, 4Preclinical Imaging and Research Laboratories, South Australian Health and Medical Research Institute, Adelaide, Australia, 5Institute for Women's Health, University College London, London, United Kingdom, 6NIHR Biomedical Research Center, University College London Hospitals, London, United Kingdom

Abnormalities of placental development and function underlie many pathologies of pregnancy including preeclampsia and fetal growth restriction (FGR). Advances in MRI techniques provide capacity to obtain additional placental in vivo information to support clinical decision-making. Animal models are used in invasive validation studies are possible in animal models and allow for controlled experiments during pregnancy. Here, we investigated whether MRI technology could be used to study the anatomical morphology of placentae in vivo in sheep; and we characterise diffusion and perfusion properties in normal pregnancies and those complicated by induced FGR.

3268
Booth 2
MRI assessment of placental oxygenation changes in response to maternal hyperoxygenation in a sheep model of human pregnancy
Dimitra Flouri1,2, Jack RT Darby3, Stacey L Holman3, Georgia K Williams4, Sebastien Ourselin1, Anna L David5,6, Janna L Morrison3, and Andrew Melbourne1,2

1School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 3Early Origins of Adult Health Research Group, University of South Australia, Adelaide, Australia, 4Preclinical Imaging and Research Laboratories, South Australian Health and Medical Research Institute, Adelaide, Australia, 5Institute for Women's Health, University College London, London, United Kingdom, 6NIHR Biomedical Research Center, University College London Hospitals, London, United Kingdom

Abnormalities of placenta development and function may result in fetal growth restriction (FGR). Advances in MRI technology enable estimation of quantitative indices that reflect tissue diffusivity and oxygenation. We investigated the physiological impact of maternal hyperoxygenation on the placenta pregnant sheep. We applied a multi-compartment MRI signal model to measure the changes in oxygenation caused by changes in maternal blood oxygen level. The expected increase in feto-placental blood relaxation and feto-placental oxygen saturation with maternal hyperoxygenation was observed. Results suggested that diffusion and relaxation-based MRI is sensitive to acute changes in maternal and feto-placental oxygen level.

3269
Booth 3
Quantitative cerebrovascular reactivity MRI in mice using acetazolamide challenge
Zhiliang Wei1,2, Yuguo Li1,2, Xirui Hou3, Zheng Han1,2, Jiadi Xu1,2, Michael T. McMahon1,2, Wenzhen Duan4,5, Guanshu Liu1,2, and Hanzhang Lu1,2,3

1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Cerebrovascular reactivity (CVR), which denotes brain’s vasodilatory capacity, is broadly utilized in cerebrovascular and neurodegenerative diseases. However, the most popular hypercapnia method in human studies is unsuitable for small animals due to the difficulty in measuring end-tidal CO2. Here, we took a different approach using a pharmacological vasodilatory stimulus, acetazolamide. Plasma level of acetazolamide and vascular responses were quantified by high-performance liquid chromatography and perfusion MRI, respectively. Evidences of feasibility, safety, temporal characteristics, and dose-dependence have been demonstrated. This new CVR technique may open several avenues for preclinical research on cerebrovascular diseases and therapeutic testing in different animal models.

3270
Booth 4
A Radial Flow Cell Perfusion System for Hyperpolarized 13C NMR Metabolic Studies at Low Oxygen Levels
Anthony Mancuso1, Mehrdad Pourfathi2, Ryan M. Kiefer2, Michael C Noji2, Sarmad Siddiqui2, Enri Profka2, Stephen J Kadlecek2, Rahim Rizi2, and Terence PF Gade1,2

1Cancer Biology, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States

We have developed new methods for studying cultured cancer cell metabolism with hyperpolarized 13C magnetic resonance spectroscopy (HP 13C MRS) at low oxygen concentrations.  Cells grown on the surfaces of microcarriers inside the spectrometer were perfused radially (rather than axially) in a modified NMR tube at controlled oxygen levels. Computational and experimental results demonstrated that cell mass oxygen profiles with radial flow were much more uniform than with conventional axial flow.  The metabolism of HP [1-13C]pyruvate was markedly different between the two flow configurations, demonstrating the importance of avoiding large oxygen gradients in cell perfusion experiments. 

3271
Booth 5
Effect of Inhaled Oxygen Concentration on 129Xe Chemical Shift of Red Blood Cells in Rat Brain
Yonni Friedlander1,2, Brandon Zanette1, Andras Lindenmaier1,2, Daniel Li1, Stephen Kadlecek3, Giles Santyr1,2, and Andrea Kassner1,2

1Hospital for Sick Children, Toronto, ON, Canada, 2University of Toronto, Toronto, ON, Canada, 3University of Pennsylvania, Philadelphia, PA, United States

Hyperpolarized 129Xe RBC chemical shift in the rat brain was measured to be higher during hypoxic ventilation than during normoxic ventilation.

3272
Booth 6
Longitudinal biochemical and behavioral alterations in a gyrencephalic model of blast related mild traumatic brain injury
Shiyu Tang1,2, Su Xu1,2, Li Jiang1,2, Donna Wilder3, Joseph Long3, Alexandre E. Medina4, Xin Li1,2, Gary Fiskum5,6, Venkata Siva Sai Sujith Sajja3, and Rao P. Gullapalli1,2

1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Center for Advanced Imaging Research (CAIR), University of Maryland School of Medicine, Baltimore, MD, United States, 3Blast Induced Neurotrauma Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States, 4Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, United States, 5Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States, 6Shock, Trauma, and Anesthesiology Research Center, University of Maryland School of Medicine, Baltimore, MD, United States

Compared to rodents, the ferret model has greater similarities to humans in terms of developmental process, brain structure and sophisticated behavior. In this study, we assessed the longitudinal changes in brain metabolism and impulsivity behavior in a ferret model that closely mimics the blast exposure conditions encountered by Warfighters. Ferrets demonstrated concomitantly increased behavioral impulsivity and metabolite alterations in prefrontal cortex following blast exposure. Our findings agree with clinical observations in patients, suggesting that this model is a good gyrencephalic animal model to study brain biochemical profile changes and neuropsychiatric alterations associated with blast exposure.


3273
Booth 7
Early sex dependent changes in the default mode network of the TgF344-AD rat model of Alzheimer’s disease
Raúl Tudela1, Emma Muñoz-Moreno2, Xavier López-Gil2, Federico Varriano3, and Guadalupe Soria1,3

1Biomedical Imaging Group, Consorcio Centro de Investigación Biomédica en Red (CIBER) de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain, 2Experimental 7T MRI Unit, Magnetic Resonance Imaging Core Facility, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain, 3Laboratory of Surgical Neuroanatomy, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain

TgF344-AD rat model has been revealed as an interesting animal model for investigating Alzheimer's disease. About two thirds of persons diagnosed with AD dementia are women, suggesting important sex and gender differences in risk factors for the development of AD. Therefore, it is of high interest to also investigate this issue in the AD animal models. In this study we present preliminary results regarding the effect of sex difference in the functional default mode network between young TgF344-AD rats and Wild-type.

3274
Booth 8
VEGF overexpression in breast cancer xenograft significantly increases nanoparticle-mediated siRNA delivery and target gene downregulation
Shanshan Tan1, Zhihang Chen1, Yelena Mironchik1, Noriko Mori1, Marie-France Penet1, Balaji Krishnamachary1, and Zaver M. Bhujwalla1,2,3

1The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, United States, 3Department of Radiation Oncology and Molecular Radiation Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Effective tumor delivery is a major challenge in achieving small interfering RNA (siRNA) mediated gene silencing. Poor tumor vascularization can limit the delivery of therapeutic siRNA. Here, we used a VEGF overexpression breast cancer murine model and its wildtype counterpart to investigate the influence of increasing tumor vasculature on choline kinase-alpha siRNA nanoparticle delivery.

3275
Booth 9
Comparison of different T2 fitting models in renal tissue relaxometry
Wan-Ting Zhao1,2,3, Karl-Heinz Herrmann1, Martin Krämer1, Daniel Güllmar1, Jürgen R. Reichenbach1, and Verena Hoerr1,4,5

1Institute of Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany, 2Center for Sepsis Control and Care, University Hospital Jena, Jena, Germany, 3Institute of Medical Microbiology, University Hospital Jena, Jena, Germany, 4Clinic for Radiology, University Hospital Muenster, Muenster, Germany, 5Heart Center, University Hospital Bonn, Bonn, Germany

While relaxation rate estimation substantially varies on the chosen fitting method, a tissue-specific T2 fitting scheme for the kidney is lacking. The current study aims to compare multiple T2 fitting methods, including square signal and mono-exponential with constant offsets, in high SNR and low SNR scenarios from identical data points. We compare standard deviations for fitting robustness and RMSE for the goodness of fit. Our finding suggests a mono-exponential with constant offsets is the most suitable method, for it yielded the lowest RMSE both in high and low SNR.

3276
Booth 10
Phase-Based T2 Mapping for Assessment of Liver Fibrosis in a Porcine Model
Ruvini Navaratna1,2, Daiki Tamada2, Sarvesh Periyasamy2,3, Jennifer J Meudt4, Paul Laeseke2,3, Dhanansayan Shanmuganayagam4,5,6, Scott B Reeder1,2,3,7,8, and Ali Pirasteh1,2

1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States, 5Surgery, University of Wisconsin-Madison, Madison, WI, United States, 6Center for Biomedical Swine Research and Innovation, University of Wisconsin-Madison, Madison, WI, United States, 7Medicine, University of Wisconsin-Madison, Madison, WI, United States, 8Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Fibrosis is the sequela of and the most important outcome predictor in chronic liver disease. MRI T2 mapping can provide safe and noninvasive detection/staging of liver fibrosis. However, current T2 mapping techniques suffer from prolonged acquisition times, prohibiting widespread clinical utilization. To address this unmet need, we evaluated the feasibility of a whole-liver, single-breath-hold, phase-based T2 mapping technique to assess liver fibrosis in a human-sized porcine model of liver fibrosis. We demonstrated a strong correlation between our phase-based liver T2 values and liver uptake of the fibroblast activation protein inhibitor on PET as well as the reference spin-echo T2 estimates.

3277
Booth 11
Minimally-Invasive Surgical Treatment of Lung Cancer using Magnetic Resonance Guided Focused Ultrasound in a Porcine Model
Braden Miller1, Lauren Powlovich2, David Moore2, Linda Martin1, and Jaime Mata1

1University of Virginia, Charlottesville, VA, United States, 2Focused Ultrasound Foundation, Charlottesville, VA, United States

 This new technique has the potential to increase lung cancer survival rates while decreasing morbidity associated with current practices as it allows a less invasive manner for ablation or tumor debulking. 

3278
Booth 12
Using amide proton transfer-weighted (APTw) MRI to detect severity and predict outcome after traumatic brain injury (TBI) in rats
Yinfeng Dong1, Yanting Gu1, Jianhua Lu2, Jieru Wan1, Shanshan Jiang2, Raymond C. Koehler1, and Jinyuan Zhou2

1Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States, 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States

After TBI, secondary injury severity is difficult to determine. The objective of this study was to investigate the capacity of noninvasive APTw MRI to assess TBI injury in different brain regions and predict long-term neurobehavior outcomes. Fifty-five male and female rats were subjected to a controlled cortical impact with one of three different impactor depths to produce different degrees of TBI, and scanned on a 4.7 T horizontal bore animal imager. Our results suggest that APTw imaging can be used for detecting the level of inflammation and as a potential predictor of long-term outcomes from TBI.

3279
Booth 13
Apolipoprotein-E (APOE) Deficiency Leads to Neuronal Network Remodeling Characterized by Diffusion MRI and Graph Theory
Margaret Caroline Stapleton1, Philipp Boehm-Sturm2, Stefan Koch2, Susanne Mueller2, Devin Raine Everaldo Cortes1, and Yijen Wu1

1Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Experimental Neurology, Charite University Medicine Berlin, Berlin, Germany

Allelic difference in Apolipoprotein-E (APOE) is a well-known risk factor for the late-onset Alzheimer’s disease (AD) but how APOE affects brain functions and the subsequent cognitive declination remains unclear.  Diffusion MRI followed by network topology analysis found that APOE deficiency in knockout mice resulted in altered neuronal network in the brain regions known to be affected by Alzheimer’s Disease.  This study suggests the possible role of APOE in neuronal network organization, which might predispose brains to differential AD vulnerability. 


Cancer I

Gather.town Space: South East
Room: 4
Monday 17:00 - 19:00
Clinical & Preclinical
Module : Module 20: Cancer

3405
Booth 1
Cerebellar damage, by medulloblastoma and related surgery, induces global cerebral microstructural
Joseph Holtrop1, John R Glass1, Stuart S McAfee1, Silu Zhang1, Matthew A Scoggins1, Amar Gajjar2, Giles W Robinson2, Wilbur E Reddick1, and Asim K Bag1

1Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Department of Pediatrics, St. Jude Children's Research Hospital, Memphis, TN, United States

Survivors of medulloblastoma patients frequently have cognitive impairment, which is currently thought to be due to radiation and chemotherapy. In this work, we have showed that there is widespread changes in diffusion tensor parameters in cerebral white and gray matters, suggestive of brain microstructure damage, even before start of radiation and chemotherapy and not related to hydrocephalus.  


3406
Booth 2
Investigating spatial heterogeneity in diffuse gliomas with ultra-high gradient diffusion MRI and a model-free diffusion tensor distribution
Ina Ly1, Yiqiao Song1, Qiuyun Fan2, Aapo Nummenmaa1, Maria Martinez-Lage Alvarez1, William Curry1, Brian Nahed1, Daniel Cahill1, Pamela Jones1, Jorg Dietrich1, Deborah Forst1, Scott Plotkin1, Tracy Batchelor3, Bruce Rosen1, Susie Huang1, and Elizabeth Gerstner1

1Massachusetts General Hospital, Boston, MA, United States, 2Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China, 3Brigham and Women's Hospital, Boston, MA, United States

Diffuse gliomas demonstrate significant spatial heterogeneity which is not captured on standard anatomical MRI or with existing diffusion MRI (dMRI) methods. This is because current dMRI approaches provide voxel-averaged information about tissue composition and are based on a priori assumptions about underlying tissue microstructure, thus providing a simplified model of tissue properties. Here, we apply an unbiased, model-agnostic dMRI method (model-free diffusion tensor distribution (FDTD) and K-means clustering) to seven subjects with diffuse gliomas. We confirm the presence of intratumoral heterogeneity and find distinct differences in diffusion properties between gliomas of different histologic grades and pre- and post-treatment.

3407
Booth 3
Identifying Metabolic Differentiators of Small Cell Neuroendocrine versus Adenocarcinoma subtypes of Castration-Resistant Prostate Cancer
Deepti Upadhyay1, Jinny Sun1, Shubhangi Agarwal1, Robert Bok1, Romelyn DeLos Santos1, Donna Peehl1, John Kurhanewicz1, and Renuka Sriram1

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

NMR-based stable isotope resolved metabolomics was used to characterize small cell neuroendocrine (SCNC) and adenocarcinoma (aCRPC) subtypes of castration-resistant prostate cancer patient-derived xenografts (PDXs). Targeted metabolomics indicated distinct upregulation of metabolic pathways in SCNC relative to aCRPC PDXs. Specifically, [U-13C]glucose and [U-13C]glutamine labeling demonstrated that SCNC PDXs had increased glycolytic rate, alanine aminotransferase and tricarboxylic acid cycle activity, including anaplerotic sources. Further, the metabolic differences observed among the aCRPC and SCNC PDXs exhibited a continuous range as predicted by clinical genomic data of these subtypes of CRPC.


3408
Booth 4
Comparison of [6-17O]glucose metabolism in tumor and normal brain using 9L rat glioma model
Victor D. Schepkin1, Cathy W. Levenson2, Shannon Helsper3, and Dean Sherry4

1CIMAR, NHMFL/FSU, Tallahassee, FL, United States, 2College of Medicine, FSU, Tallahassee, FL, United States, 3NHMFL/FSU, Tallahassee, FL, United States, 4Southwestern Medical Center, UT Dallas, Dallas, TX, United States

Labeled glucose[6-17O] was used to evaluate differences in glucose metabolism between normal and tumor brain tissue. Experiments were performed using an intracranial 9L glioma model at 21.1 T magnet by observing changes of 17O-water and 17O-glucose MR peaks.  The estimated rate of the total glucose metabolism in 9L glioma was approximately 11 times more than in the normal brain.   Correspondingly, glucose metabolism rate is 7.5 times more in glioma at the enolase step. 17O MRI/MRS is an encouraging tool for assessing the differences in glucose metabolism in various cancer cells.



3409
Booth 5
Tracking acute & chronic RT-induced fibrosis in cervical cancer using native & Late-Gadolinium-Enhancement Short-Inversion-Time (STIR) UTE
Khadija Sheikh1, Junghoon Lee2, Marc Morcos2, Mohammad Rezae2, Ravi T. Seethamraju3, Thomas Benkert4, Himanshu Bhat3, Henry R Halperin5, Bruce L. Daniel6, Akila N Viswanathan2, and Ehud J Schmidt2,5

1Johns Hopkins School of Medicine, Washington, DC, United States, 2Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States, 3Siemens Medical Solutions, Boston, MA, United States, 4MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, United States, 6Radiology, Stanford University, Stanford, CA, United States

Imaging the temporal evolution of post-radiation fibrosis, which forms in irradiated tissues, supports quantifying tumor response and estimating surrounding-tissue injury.  Five cervical cancer patients were scanned pre-external-beam-radiotherapy (EBRT), during and after EBRT, and 3-months post-EBRT and High-Dose-Rate (HDR) brachytherapy.   A novel stack-of-spirals STIR-UTE sequence (TI=60ms) was used to image acute-fibrosis, utilizing collagen-bound-water’s short T2* and T1, and Late-Gadolinium-Enhancement (11-15min post-contrast) IR-UTE sequence (TI=200ms) to image chronic-fibrosis, utilizing scar’s slow-contrast-perfusion. Acute-fibrosis spatial-distribution followed EBRT and brachytherapy dose distributions. Over time, acute-fibrosis was converted into chronic-fibrosis.   This is important as it forms the basis to guide radiation-therapy for re-irradiation and adaptive-planning.

3410
Booth 6
Characterizing Restricted Diffusion in Pre-/Post- treatment Gliomas Using Time-dependent Diffusion MRI at Ultra-high-gradient Human 3.0T
Ante Zhu1, Robert Y. Shih2,3, James Kevin DeMarco2,3, Herman Douglas Morris2,3, Radhika Madhavan1, Gail Kohls2,3, Tim Sprenger4, Maureen Hood2,3, Luca Marinelli1, Jason A. Gregory2,3, Brett J. Theeler2,3, Vincent B. Ho2,3, and Thomas K.F. Foo1

1Biology and Applied Physics, GE Research, Niskayuna, NY, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Walter Reed National Military Medical Center, Bethesda, MD, United States, 4GE Healthcare, Stockholm, Sweden

Time-dependent diffusion MRI has shown high specificity to non-Gaussian restricted diffusion, which improves assessing cytoarchitectural alternations in pre-/post- treatment glioma. However, the characterization of time-dependent diffusivity ADC(f) and kurtosis MK(f) at short diffusion time using oscillating gradient spin echo (OGSE) diffusion encoding is limited. In our preliminary studies at ultra-high-gradient 3.0T, larger changes of ADC(f) and MK(f) were shown in glioblastoma compared to a low-grade astrocytoma, indicating highly restricted microenvironment as confirmed on histopathology. OGSE-based time-dependent diffusion showed promise for evaluating cytoarchitectural alternations in gliomas. ADC(f) and MK(f) of contrast-enhancing lesions in three post-glioblastoma-treatment patients showed strong time-dependence.

3411
Booth 7
Test-retest Repeatability of High-resolution Whole-brain DCE-MRI in High-grade Glioma Patients
Zhibo Zhu1, Yannick Bliesener1, Frances Chow2, Jay Acharya3, and Krishna S. Nayak4

1Department Of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Neurosurgery, University of Southern California, Los Angeles, CA, United States, 3Department of Radiology, University of Southern California, Los Angeles, CA, United States, 4Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

We perform a prospective test-retest repeatability study of one such approach, in patients with high-grade glioma. Two separate scans were performed within 3-7 days apart. Tumor, scalp, normal white matter, pons, cerebellum and muscle regions were segmented manually. The coefficients of variation of median Kt were 50.4% to 66.6% and of median vp were 23.2% to 80.0%, based on our first 5 subjects.


3412
Booth 8
Magnetic Resonance Elastography of Pancreas: Comparison between different drivers and driving frequencies.
Manjunathan Nanjappa1 and Arunark Kolipaka1

1Department of Radiology, The Ohio State University, Columbus, OH, United States

Magnetic Resonance Elastography is an emerging alternative diagnostic tool for palpation and it is known that stiffness is altered in chronic pancreatitis and as well as in pancreatic tumors. In this study we compared performances of a drum-shaped rigid driver with a flat soft-pad passive driver in 10 volunteers at 40Hz and 60Hz diver frequencies. The variations of mean stiffness values measured between the drivers were found to be insignificant at a given frequency. Additionally, stiffness measured at 40Hz is lower compared to 60Hz. Therefore, users can make their choice of the driver based on patient comfort, longevity and cost.

3413
Booth 9
Rectal Cancer MRI Motion Quality Assessment using a Convolutional Neural Network
Avishkar Sharma1, Ke Lei2, Shreyas Vasanawala1, and Vipul Sheth1

1Radiology, Stanford University, Stanford, CA, United States, 2Electric Engineering, Stanford University, Stanford, CA, United States

Magnetic resonance (MR) imaging plays a pivotal role in the staging and treatment planning of rectal cancer. Accurate staging depends on good-quality high-resolution axial T2-weighted images orthogonal to the rectal tumor. Rectal MRI is often confounded by motion artifacts secondary to bowel peristalsis and patient movement. We propose a CNN model that automatically assesses image quality instantaneously after a scan is finished to reduce the frequency of patient recalls and non-diagnostic images. Our model achieves high accuracy in identifying motion degradation on an individual slice basis and perfect accuracy when classifying the entire sequence.  

3414
Booth 10
Deep Learning Approaches Using Convolutional Neural Networks to Generate Synthetic CT from Spinal MRI for Radiotherapy Planning
Yang Zhang1,2, Farouk Nouizi1, Ning Lang3, Xiaoying Xing3, Yongye Chen3, Qizheng Wang3, Enlong Zhang3, Huishu Yuan3, Ke Nie2, and Min-Ying Su1

1Department of Radiological Sciences, University of California, Irvine, CA, United States, 2Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 3Department of Radiology, Peking University Third Hospital, Beijing, China

A total of 27 patients receiving both spinal CT and MR for evaluation of back pain were identified for analysis. MR images and CT image were co-registered first, and the CT was used as ground truth for training a deep learning algorithm using MR images to generate synthetic CT. In this study, we implemented cycleGAN to generate these synthetic CT images from their corresponding MR slices.  Five-fold cross validation was used to evaluate the performance of the trained model.  Compared to the original images, the Mean Average Error was 27.63±11.51, and the Peak Signal-to Noise Ratio was 19.44±5.72.

3415
Booth 11
Weekly Apparent Diffusion Coefficient Kinetics in HPV-positive Oropharyngeal Cancer Patients Undergoing Definitive Radiation Therapy
Brigid McDonald1, Renjie He1, Yao Ding2, Travis Salzillo2, Jihong Wang2, Clifton Fuller2, and Abdallah Mohamed2

1Radiation Oncology, UT MD Anderson Cancer Center, Houston, TX, United States, 2UT MD Anderson Cancer Center, Houston, TX, United States

In this study, we investigate weekly changes in mean and median apparent diffusion coefficient (ADC) values from diffusion-weighted MRI for HPV+ oropharyngeal cancer patients undergoing definitive radiation therapy (RT). Trends of increasing ADC values in GTV_P and GTV_N were observed with clear separation at each time point between patients with no evidence of disease vs. recurrence at 2 months post-RT. Because of our small sample size (15), a larger cohort is needed for more robust outcome prediction analysis.

3416
Booth 12
Quantitative Susceptibility Mapping for Gold Fiducial Marker Localization in Prostate for MRI-Only Radiation Therapy Treatment Planning
Jie Deng1, Chenyang Shen1, Junjie Wu1, and Steve B Jiang1

1Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States

MRI-only simulation permits superior soft tissue contrast for tumor tissue characterization and target margin delineation. One bottleneck preventing MRI-only simulation to be widely applied in prostate cancer EBRT is the tedious marker localization process on MR images as compared to that on a CT.  The fiducial and calcification on MRI also appear to be similar, which reduces the confidence level of the clinician in fiducial localization, and further increases the time needed. In this study, we developed a framework using quantitative susceptibility mapping to automatically identify the fiducial markers based on phase information of gradient-echo MRI.

3417
Booth 13
Comparison between machine learning and radiologists’ readings for prediction of chemoradiation therapy response in rectal cancer using MRI
Yang Zhang1,2, Liming Shi3, Weiwen Zhou3, Xiaonan Sun3, Salma Jabbour1, Ning Yue1, Min-Ying Su2, and Ke Nie1

1Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China

A radiomics model with pre-treatment MRI for pCR prediction and compared with two oncologists’ readings. Their performance with and without the model assistances was cross-compared to see the potential role of radiomics model in assisting clinical decision. A total of 203 patients receiving neoadjuvant CRT followed by total mesorectal excision (TME) were enrolled. For training set, AUC from radiomics model is 0.85 and AUC from clinical model is 0.74. For testing set, AUC from radiomics model is 0.82 and AUC from clinical model is 0.69. For oncologist’s reading, with the assistance of radiomics model, positive prediction value (PPV) and specificity increased significantly for both experienced and inexperienced oncologist.

3418
Booth 14
Pre-Therapy Ferumoxytol-Enhanced Magnetic Resonance Imaging (MRI) Predicts Response of Metastatic Breast Cancer to Liposomal Irinotecan
Harshan Ravi1, Andres M. Arias Lorza1, James R. Costello2, Hyo Sook Han3, Daniel K. Jeong2, Stephan G. Klinz Klinz4, Jasgit C. Sachdev5, Ronald L. Korn6, and Natarajan Raghunand1,7

1Department of Cancer Physiology, Moffitt Cancer Center and Research Institute, Tampa,, FL, United States, 2Department of Radiology, Moffitt Cancer Center and Research Institute, Tampa,, FL, United States, 3Department of Breast Oncology, Moffitt Cancer Center and Research Institute, Tampa,, FL, United States, 4Ipsen Bioscience, Cambridge, MA, United States, 5HonorHealth Research Institute, Scottsdale, AZ, United States, 6Imaging Endpoints Core Lab, Scottsdale, AZ, United States, 7Department of Oncologic Sciences, University of South Florida, Tampa,, FL, United States

  R*2 and the apparent concentration of FMX in the tumor (FMXC) are considered  biomarkers of liposomal irinotecan (nal-IRI) drug uptake into that tumor lesion, which in turn would determine response of that tumor to nal-IRI. Historically, quantification of R*2 and FMXC  had been implemented by using a calibration phantom and acquiring patient scans both pre-FMX and post-FMX. Here we have demonstrated a pre-treatment FMX-enhanced MRI companion biomarker of response to nal-IRI in mBC patients that can be computed from a single16-24 h post-FMX MRI scan without the need for calibration phantoms or pre-FMX scans.

3419
Booth 15
R1 and R2* Mismatch on Ferumoxytol-Enhanced MRI Predicts Response of Breast Cancer Brain Metastases to Liposomal Irinotecan
Harshan Ravi1, Andres M. Arias Lorza1, James R. Costello2, Hyo Sook Han3, Daniel K. Jeong2, Stephan G. Klinz4, Jasgit C. Sachdev5, Ronald L. Korn6, and Natarajan Raghunand1,7

1Department of Cancer Physiology, Moffitti Cancer Center and Research Institute, Tampa,, FL, United States, 2Department of Radiology, Moffitti Cancer Center and Research Institute, Tampa, FL, United States, 3Department of Breast Oncology, Moffitti Cancer Center and Research Institute, Tampa, FL, United States, 4Ipsen Bioscience,, Cambridge,, MA, United States, 5Honor Health Research Institute, Scottsdale,, AZ, United States, 6Imaging Endpoints Core Lab, Scottsdale,, AZ, United States, 7Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States

Phagocytosis of ferumoxytol (FMX) by tumor-associated macrophages (TAMs) results in intracellular compartmentation, which has opposing effects on longitudinal (R1) and transverse (R2*) relaxivity of FMX. Pixelwise mismatch between apparent ferumoxytol concentration (FMXc) computed from  post-FMX R1 and R2* maps can be exploited to identify pixels with high concentrations of phagocytosed (compartmentalized) FMX. Here we show mismatch on MRI, acquired 24 h post-FMX, measured in terms of compartmentation index (CI) greater than 1 and hypothesized to be indicative of FMX intracellular compartmentation, was predictive of the response of breast cancer brain metastases to liposomal irinotecan (nal-IRI) at the individual tumor level.

3420
Booth 16
Pre-clinical Fast Field-Cycling NMR for the detection and classification of breast cancer
Katie Hanna1, Ehab Husain2, Yazan Masannat3, Rasha Abu-Eid4, David Lurie5, Valerie Speirs1, and Lionel Broche5

1Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, 2Department of Pathology, Aberdeen Royal Infirmary, Aberdeen, Scotland, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, Scotland, 4Institute of Dentistry, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, 5Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, Scotland

This study aims to explore novel biomarkers of breast cancer using FFC-NMR. NMR dispersion profiles were generated by analysing patient-matched tumour, peritumoral zone and distant normal fixed tissue samples from twenty breast cancer patients. These profiles were analysed using piecewise power models and the numerical parameters derived from these models could significantly classify the different regions of breast tissue and distinguish patients from different prognostic categories. The numerical parameters investigated in this study may have potential as quantitative biomarkers for breast cancer detection and risk stratification. 

3421
Booth 17
Feasibility and repeatability of oxygen-enhanced T1 measurements in primary colorectal cancer: a prospective study in 22 patients.
Davide Prezzi1, Radhouene Neji1,2, Isabel Dregely1, Sami Jeljeli1, Paul Bassett3, Gary Cook1, and Vicky Goh1

1King's College London, London, United Kingdom, 2Siemens Healthineers, Frimley, United Kingdom, 3Statsconsultancy Ltd, Amersham, United Kingdom

Oxygen-enhanced ΔT1 tumor measurements were feasible in 12/22 colorectal cancer patients by means of single-slice MOLLI. A small but statistically significant negative tumor ΔT1 was found overall, in line with the expected response in well perfused and oxygenated tissue [mean (95% CI) ΔT1 =  -33 (-41, -25) msec; mean tumor T1 = 1545 ± 163 msec]. A significant negative MOLLI ΔT1 was found in muscle. Repeatability and interobserver agreement were acceptable. Multi-slice variable-flip-angle VIBE tumor T1 measurements were degraded by motion or susceptibility artefact. Technical developments aimed at mitigating artefact and amplifying ΔT1 are needed for future clinical translation.



Preclinical Imaging II

Gather.town Space: South East
Room: 3
Monday 17:00 - 19:00
Clinical & Preclinical
Module : Module 13: Preclinical Imaging

3422
Booth 1
MRI assessment of abscopal effect induced by radiation/immune checkpoint blockade combination therapy
Kota Yamashita1, Yasunori Otowa1, Kazutoshi Yamamoto1, Jeffery R. Brender1, Nallathamby Devasahayam1, Murali C. Krishna1, and Shun Kishimoto1

1Radiation Biology branch, National Cancer Institute, Bethesda, MD, United States

Radiation therapy (RT) occasionally induces regression of non-irradiated metastatic lesions, which is called abscopal effect.  Immune checkpoint inhibitors enhance abscopal effects. In this study we examined the physiological changes induced by abscopal effect and identify using MRI-based imaging biomarkers which predict the successful abscopal effect. Hypoxic fraction < 10 mmHg (HF10), permeability, perfusion, and CD8+ T cell infiltration in unirradiated tumor increased after the combination of RT and PD-1 blockade therapy. Interestingly, higher permeability/perfusion and lower HF10 in irradiated tumor before treatment is associated with slower growth of the unirradiated tumor after treatment of the tumor on the contralateral side.

3423
Booth 2
In Vivo Oxygen Imaging of Implanted Islet Encapsulation Devices
Mrignayani Kotecha1, Navin Viswakarma1, Eliyas Siddiqui1, Sonny Patel1, and Boris Epel2

1O2M Technologies, LLC, Chicago, IL, United States, 2Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, United States

The lack of oxygen supply to the highly metabolic pancreatic islet cells is one of the major factors contributing to the failure of islet transplantation devices designed to cure type I diabetes (T1D). Several approaches to improve oxygenation in these devices have been developed. However, the lack of available technologies to provide reliable pO2 assessment in and around devices hinders the progress severely. We performed in vivo oxygen imaging of cell loaded encapsulation devices using pulse electron paramagnetic resonance oxygen imaging (EPROI) technique. For the first time, whole-body EPROI is used to monitor pO2 of implanted devices in this work.

3424
Booth 3
Free-breathing liver T1 mapping for quantitative oxygen consumption
Janaka Wansapura1

1Advanced Imaging Research Center, University of Texas Southwestern, Dallas, TX, United States

We introduce a dual flip angle T1 method based on respiratory triggered cine spoiled gradient echo acquisition. The method is used to assess the change in T1 of liver tissue between breathing medical air and 100% O2 in an animal model. Our results show small but significant decrease in T1 of liver due to hypoxia, indicating increased oxygen partial pressure in tissue.

3425
Booth 4
Dynamic Spiral Imaging of Rodent Pulmonary Ventilation using Natural-Abundance Hyperpolarized 129Xe Imaging
Luis Loza1, Tahmina Achekzai1, Stephen Kadlecek1, Hooman Hamedani1, Faraz Amzajerdian1, Mostafa Ismail1, Ian Duncan1, Kai Ruppert1, and Rahim Rizi1

1University of Pennsylvania, Philadelphia, PA, United States

While a hyperpolarized 129Xe MRI-derived fractional ventilation is a valuable metric for assessing lung function, currently implemented schemes use enriched xenon and rely on static images acquired over breath holds to derive FV. In order to probe pulmonary ventilation under more physiologically natural conditions while keeping costs low, we acquired images during continuous controlled breathing in a mechanically ventilated rat using natural-abundance xenon. In addition to FV, we were able to derive the additional physiologically relevant metrics of tidal volume, functional residual capacity, and phase.

3426
Booth 5
The relationship of arterial input function between abdominal aorta and hepatic artery
Jie Huang1, Yuancheng Liu2, Xianchun Zeng2, Chunqi Qian1, and Erik M. Shapiro1

1Michigan State University, East Lansing, MI, United States, 2Guizhou Provincial People's Hospital, Guiyang, China

The hepatic artery (HA) input is required in the dual-input, two-compartment model of studying liver function with dynamic gadoxetate-enhanced MRI. The dynamic contrast agent concentration in abdominal aorta (AA) is usually measured and used as the arterial input function instead of that measured in the HA because its small size. In this study, we determined the relationship between these two concentrations. We found that the measured arterial input function in AA can be reliably used as the HA input function with a suppression scaling factor taken into account.

3427
Booth 6
Deuterium (2H) MR Spectroscopy Distinguishes Tumor (Glioblastoma) from Radiation Necrosis in Mouse Brain
Kyu-Ho Song1, John A. Engelbach1, James D. Quirk1, Keith M. Rich2,3, Joseph J.H. Ackerman1,4,5,6, and Joel R. Garbow1,6

1Department of Radiology, Washington University, St. Louis, MO, United States, 2Department of Neurosurgery, Washington University, St. Louis, MO, United States, 3Department of Radiation Oncology, Washington University, St. Louis, MO, United States, 4Department of Chemistry, Washington University, St. Louis, MO, United States, 5Department of Internal Medicine, Washington University, St. Louis, MO, United States, 6Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States

Employing mouse models of radiation necrosis (one that displays the histologic hallmarks of the clinical condition) and glioblastoma (GL261), deuterium (2H) MR spectroscopy, in concert with infusion of 2H-labelled glucose, was employed to ascertain whether the 2H MRS signatures could differentiate the two lesions, an unmet clinical need. The 2H MR metabolic profiles of the two lesions were markedly different. In the tumor, the Warburg effect (aerobic glycolysis, fermentation) converted glucose nearly exclusively to lactate. In radiation necrosis, oxidative phosphorylation (respiration) dominated, with glucose converting to TCA cycle intermediates glutamate and glutamine. Thus, 2H MR distinguishes glioblastoma vs. radiation necrosis.

3428
Booth 7
Detection of Metabolic Biomarkers of Response to BRAF and MEK Inhibitor Therapy of Melanoma
Pradeep Kumar Gupta1, Stepan Orlovskiy1, David S. Nelson1, Stephen Pickup1, Alexander A. Shestov1, Fernando Arias-Mendoza1, Mary E. Putt2, Dennis B. Leeper3, Jerry D. Glickson1, and Kavindra Nath1

1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, United States

In vivo 1H and 31P MRS were used to monitor the effects of BRAF and MEK inhibitors therapy in two metabolically different melanoma xenograft models. Our approach is to combine BRAF inhibitor with MEK inhibitor in melanoma xenograft models. Combination of BRAF and MEK inhibitors has been shown to be more effective than the use of either drug alone. Differences in relative levels of glycolysis between two melanoma xenograft models may produce differential therapeutic responses to BRAF and MEK inhibitors . In melanoma, metabolic changes in response to targeted kinase inhibitor therapy occur rapidly and are related to subsequent tumor response.

3429
Booth 8
Multimodal molecular imaging assessment of tumor microenvironment. Hyaluronan depletion induces tumor reoxygenation and radiosensitization
Shun C Kishimoto1, Tomohiro Seki2, Yu Saida3, Yasunori Otowa1, Kota Yamashita1, Kazutoshi Yamamoto1, Nallathamby Devasahayam1, Jeffrey R Brender1, and Murali C Krishna1

1NCI, Bethesda, MD, United States, 2Josai University, Sakado, Japan, 3Medical and Dental Hospital, Niigata University, Niigata, Japan

PEGPH20 is a PEGylated form of recombinant human hyaluronidase PH20. The purpose of this study is to investigate physiologic changes in pancreatic adenocarcinoma xenograft after PEGPH20 treatment using multi-modal imaging and further determine the utility of PEGPH20 as radiosensitizer. PEGPH20 treatment significantly increased intratumor pO2, blood perfusion and volume, and decreased glycolytic flux assessed by EPR, MRI with USPIO or Gd, and 13C DNP MRI, respectively. PEGPH20 enhanced treatment effect of radiotherapy. The results validated the utility of the imaging methods to monitor the changes in the tumor microenvironment after hyaluronan depletion and to predict the radio-sensitizing effect of PEGPH20.

3430
Booth 9
DWI Metrics Differentiating Intraductal Papillary Mucinous Neoplasms from Pancreatic Cancer: A study in GEM Models
Miguel Romanello Giroud Joaquim1, Emma E Furth2, Yong Fan2, Hee Kwon Song2, Stephen Pickup2, Jianbo Cao3, Hoon Choi2, Mamta Gupta2, Cynthia Clendenin2, Thomas Karasic2, Jeffrey Duda2, James Gee2, Peter O'Dwyer2, Mark Rosen2, and Rong Zhou1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2University of Pennsylvania, Philadelphia, PA, United States, 3University of Cambridge, Cambridge, United Kingdom

Intraductal Papillary Mucinous Neoplasms (IPMN) are recognized as important precursors to invasive pancreatic ductal adenocarcinoma (PDAC). While IPMN requires surveillance without treatment, a clinical marker is lacking which can identify those undergoing malignant transformation. In two genetic engineered mouse models (KPC and CKS), which resemble human PDAC and IPMN, respectively, we tested the hypothesis that differences in cellular architecture and stromal features between PDAC and IPMN present themselves in DW-MRI and /or DCE-MRI metrics. Our data revealed an almost complete separation of ADC values between CKS (benign) vs. KPC (malignant) tumors and identified histopathological features corroborating the imaging metrics.    

3431
Booth 10
EPR and MRI studies of microenvironment in pancreatic cancers. Mechanistic studies of combination therapy with gemcitabine and evofosfamide.
Yasunori Otowa1, Kota Yamashita1, Kazutoshi Yamamoto1, Jeffery R Brender1, Nallathamby Devasahayam1, Shun Kishimoto1, and Murali C Krishna1

1National Cancer Institute, Bethesda, MD, United States

Although gemcitabine (GEM) and evofosfamide as monotherapy has a weak effect on MIA Paca-2 and SU 86.86 pancreatic ductal adenocarcinomas respectively, yet the combination therapy shows synergistic effect on both tumor models. The purpose of this study is to understand the synergistic effects of combination therapy using multi-modal imaging methods. In MIA Paca-2 tumors, treatment with GEM induced hypoxia in tumor microenvironment by decreasing the perfusion, which can potentiate evofosfamide. On the other hand, in SU.86.86 tumors, evofosfamide increased blood volume and pO2 in the tumor microenvironment, to potentiate efficacy of anti-proliferatives such as GEM.

3432
Booth 11
Assessment of anti-mitotic treatment response in breast cancer using temporal diffusion spectroscopy
xiaoyu jiang1,2, Sean P p Devan1, Jingping Xie1, John C. Gore1,3, and junzhong xu1,4

1Vanderbilt University Institute of Imaging Science, nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science, nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, nashville, TN, United States, 4Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States

Reliable and sensitive methods for assessing the response of breast cancer to treatment are critical for rapid selection of the most appropriate therapy for individual patients, and development of novel therapies.  Paclitaxel has been reported to slow/block mitosis at the metaphase-anaphase transition and induce apoptosis, leading to cell shrinkage and membrane breakdown. Using a biophysical model that allows derivation of microstructural parameters (e.g., cell size d) and an indicator of the intracellular water lifetime (τin ) from the tdiff dependence of diffusion MRI signals, we monitored the treatment response of breast cancer in both cell cultures and solid tumors in vivo.      

3433
Booth 12
Optimization of a highly sensitivity 19F MRI probe for NK cell immunotherapy tracking
Gary Martinez1, Dmitry Nevozhay2, Juan C Bournat3, Donghang Cheng3, Ajay Sharma3, Tyler King4, Emily Que5, Vidya Gopalakrishnan6, Konstantin Sokolov1, and James A Bankson1

1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Dmitry Nevozhay, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Chemistry, The University of Texas at Austin, Austin, TX, United States, 5The University of Texas at Austin, Austin, TX, United States, 6The University of Texas MD Anderson Cancer Center, Houston, TX, United States

NK cell immunotherapy has great potential as a safe and effective anticancer therapy yet there are significant challenges for immunotherapy in brain tumors. We have developed a 19F probe with enhanced sensitivity for the purposes of 19F labeling of NK cells to monitor NK cell biodistribution and immunotherapy. In this paper, we report on the relaxometric characteristics of the probe, acquisition optimization, and initial ex vivo imaging tests in murine models. The agent displayed improved sensitivity relative to Celsense and was clearly visible in the cerebral cortex in approximately equivalent amounts that will be used for cell tracking experiments.

3434
Booth 13
Fluorine-19 MRI of Stem Cell-Derived Alveolar-Like Macrophages Tagged with Perfluoropolyether
Janny Yeyoung Kim1,2, Michael Litvack1, Daniel Li1, Brandon Zanette1, Martin Post1, and Giles Santyr1,2

1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada

When stem cell-derived alveolar-like macrophages (ALMs) are labeled with perfluoropolyether (PFPE), they can potentially be monitored and tracked longitudinally in vivo using 19F MRI. In this work, different concentrations of PFPE and 5 million PFPE-labeled ALMs were imaged in vitro using 19F MRI at 3T. The results demonstrated the feasibility of detecting a small number of PFPE-labeled ALMs. This work will provide guidance for the upcoming in vivo instillation experiments in rat lungs. Longitudinal in vivo studies will further aid ALMs to be clinically translated as a stem cell therapy to treat chronic lung diseases.

3435
Booth 14
Multimodal MRI of cervical spinal cord injury before and after surgical myelotomy
Seung-Yi Lee1, Briana P Meyer2, Shekar N Kurpad3, and Matthew D Budde3

1Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States

Surgical myelotomy, a procedure intended to relieve pressure on an acutely-injured spinal cord, improves long-term functional and pathologic outcomes in animal models. However, the direct consequences of myelotomy on the cord pathophysiology have not been evaluated in the acute setting. In this work, we used multimodal MRI tailored for the spinal cord to monitor changes in edema, hemorrhage, axonal injury, and perfusion immediately before and 24 hours after surgical myelotomy. The results demonstrate spatial and temporal changes and provide unique insight into the pathophysiology of acute injury and its intervention.

3436
Booth 15
Brain Connectomics in a Mouse Model of Early and Late Stage Pruritus
Talaignair N Venkatraman1, Ouyang Chen2, Allen W Song3, Ru-Rong Ji2, and Chris D Lascola3

1Radiology, Duke University Medical Center, Durham, NC, United States, 2Anesthesiology, Duke University Medical Center, Durham, NC, United States, 3BIAC and Radiology, Duke University Medical Center, Durham, NC, United States

We performed high-resolution ex-vivo DTI in mice with cutaneous T-Cell lymphoma (CTCL) in a mouse model of pruritus. Our results show significant network changes within and between specific brain regions, namely thalamus and hippocampus, by the later stage of disease.  At the chronic stage (55 days),  micro-structural changes and enhanced connectivity are established  between the hippocampus and thalamus.

3437
Booth 16
Investigating the origin of the BOLD initial dip with biophysical simulations based on realistic microvascular networks: flow or metabolism?
Joerg Peter Pfannmoeller1, Grant Adison Hartung1, Avery Berman1, and Jonathan Rizzo Polimeni1

1Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

We used simulations to achieve insights about the nature of the initial dip and found that it is indeed possible that retrograde propagation causes a local decoupling between hemodynamics and neural activity localized to the upper layers of the cortex. The simulations allowed to assess the contributions of the different simultaneously occurring contributions and point towards a high specificity of the initial dip to the capillaries or the veins. A methodological difficulty was posed by the limited availability of arterial dilation data. Therefore, we derived dilation traces from the measurements and determine a range of possible propagation velocities.

3438
Booth 17
Automated Brain Extraction from T1-weighted MRI of Rhesus Macaques using a U-Net Deep Learning Framework
Anqi Zhang1, Donghoon Kim1,2, Jeong-chul Kim3, Brad A. Hobson1, Sonny R. Elizaldi4, John Morrison5, Smita Iyer4, Abhijit J. Chaudhari2,4, and Youngkyoo Jung1,2,3

1Biomedical Engineering, University of California, Davis, CA, United States, 2Radiology, University of California, Davis, CA, United States, 3Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States, 4California National Primate Research Center, University of California, Davis, CA, United States, 5Neurology, University of California, Davis, CA, United States

Transfer learning of an advanced deep learning framework, utilizing 3D U-Net pre-trained model, and trained on human brain MRI scans is proposed for brain extraction from MRI of other species. The proposed network architecture successfully performed whole brain extraction from rhesus macaque brain MRIs automatically with high accuracy, reduced errors, and lower computational cost. Options for data augmentation and different learning rates were also tested. Successful implementation of automated brain extraction would offer the potential to apply the same strategy on other animal models. 


3439
Booth 18
Investigating time-restricted feeding and metabolic sexual dimorphism in Nile grass rats by time-domain NMR lipid profiling
Hayden Johnson1, Thomas Yates1, Chidambaram Ramanathan2, Melissa Puppa2, Marie van der Merwe2, and Aaryani Tipirneni-Sajja1

1Biomedical Engineering, University of Memphis, Memphis, TN, United States, 2College of Health Sciences, University of Memphis, Memphis, TN, United States

NMR-based metabolomics is a powerful technique for elucidating the metabolic effects of diet through the identification and quantification of molecules present in tissues. This study utilizes time-domain processing of NMR data for robust, reproducible resonance characterization in the profiling of lipid species in heart and liver tissues of male and female animals subject to high fat diets with and without time-restriction. Results show triglyceride and fatty acid accumulation was associated with eating a high fat diet, but these effects were attenuated by time-restricted feeding. Hepatic lipids expressed a sexually dimorphic response, with higher concentrations of many lipids in female subjects. 

3440
Booth 19
Integrating a Unilateral MRI Scanner with a Small Animal Irradiator for Preclinical MR-Guided Radiation Experiments
Jace Grandinetti1, Yuncheng Zhong1, Yuting Peng1, Chenyang Shen1, Shu Zhang1, and Xun Jia1

1Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States

Magnetic Resonance-guided Radiation Therapy (MRgRT) has recently become available in human RT, however, this technology does not currently exist for preclinical systems. We propose a novel approach to develop and integrate an MR system with an existing small animal irradiator and report our ongoing progress constructing such a system. The MR system is comprised of a unilateral Halbach cylinder with permanent magnets and split gradient coils to prevent obstruction of the radiation beam while targeting a 4cm region of interest. Further development is ongoing for a split broadband RF coil and custom pulse sequences to maximize signal-to-noise.


Pediatric Imaging

Gather.town Space: South West
Room: 1
Tuesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 28: Pediatrics, Normal Development & Aging

3714
Booth 1
Spatiotemporal structural atlas of the fetal brain depicts cortical developmental patterns in a Chinese population
Xinyi Xu1, Jiwei Sun1, Wen Shi1,2, Yao Shen1, Ruoke Zhao1, Wanrong Luo1, Cong Sun3, Ruike Chen1, Mingyang Li1, Yi-Cheng Hsu4, Yi Sun4, Yi Zhang1, Guangbin Wang3,5, and Dan Wu1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biodical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, HangZhou, China, 2Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, China, 4MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 5Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

We constructed a 4D spatiotemporal atlas of the normal fetal brain development from 23 to 38 gestational weeks in a Chinese population. We depicted the developmental trajectories of morphological indices of the cerebral cortex, which showed a characteristic regional variations and indicated the developmental order and rates in the different cortical parcels. The fetal brain atlas and fetal cerebral cortex trajectory offer a better understanding of fetal brain development and can be used as an analytic reference for clinicians in diagnostic or research settings.


3715
Booth 2
Evaluation of fetal spinal anatomy and vertebral malformation using three-dimensional T2-star FFE sequence at 3T: clinical experience
Shuang He1, Qiang Lei1, Xiaoli Zhao1, Ya Yang1, Zhigang Wang1, Hua Lai1, Xiaoyong Zhang2, and Xilin Wen1

1Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2Philips Healthcare, Chengdu, China

Magnetic resonance image (MRI) has been increasingly used to evaluate fetal malformations. Currently, the commonly used fetal spine scanning sequences include conventional 2D Single-Shot TSE (2D SSH TSE) and 2D balanced fast field echo sequence (2D BTFE), However, 2D MR sequences have disadvantages such as unclear display of tiny structures especially the fetal cervical vertebra, furthermore the image quality is strongly affected by fetal postures. In this study we compared 3D T2-star-weighted FFE sequence with conventional 2D SSH TSE sequence and 2D BTFE sequence. The 3D T2-star FFE sequence has high prenatal diagnosis value for fetal spine malformation, and can be used as an important supplementary sequence for fetal spine diagnosis in clinical practice


3716
Booth 3
Radiomic Analysis of APT MRI for Preoperative Risk Stratification of Pediatric Neuroblastoma
Wenqi Wang1, Jia Xuan2, Jiawei Liang2, Xiaohui Ma2, Weibo Chen3, Dan Wu1, Hongxi Zhang2, Can Lai2, and Yi Zhang1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Philips Healthcare, Shanghai, China

Neuroblastoma (NB) is most often diagnosed in young children, and high-risk NB indicates a poor prognosis and requires aggressive treatment. Here, we assessed the utility of radiomics for amide proton transfer (APT) imaging in the preoperative classification of high-risk and low-risk abdominal NBs. Thirty-three pediatric patients underwent APT scans, with 16 confirmed high-risk NBs and 17 confirmed low-risk NBs. Radiomic models were constructed from four APT-related metric maps using 7 classifiers, with their prediction performances evaluated by associated AUCs. The optimal model achieved an AUC of 0.86, demonstrating the potential of APT MRI-based radiomics for risk stratification of NB.

3717
Booth 4
Imaging evaluation of pediatric IgAN and HSPN based on ASL and mDIXON-Quant
Yupeng Zhu1, Yun Peng1, Xiaorong Liu2, Jianxiu Lian3, Zhiwei Shen3, and Jiazheng Wang3

1Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China, 2Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China, 3Philips Healthcare, Beijing, China

It is difficult to identify IgA nephropathy (IgAN) and Henoch Schonlein purpura nephritis (HSPN) due to their similar image features on conversional MR anatomic images. Arterial spin labeling (ASL) and mDIXON-Quant MR imaging can provide more data about perfusion and relaxation time to evaluate the functional state of kidney. In this study, we explore to different IgAN from HSPN in pediatric patients with nephropathy using ASL and mDIXON-Quant MR sequences, and hope to improve accuracy in differential diagnosis of IgAN and HSPN.

3718
Booth 5
Machine learning and the prediction of cerebral ventricular changes in fetuses with ventriculomegaly: a fetal MRI study
Xue Chen1, Zhou Huang2, Yonggang Li2,3,4, Jibin Zhang1, Xiaowen Gu1, and Zhisen Li1

1Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou city, Jiangsu province, 215002, China, 2Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou city, Jiangsu province, 215000, China, 3Institute of Medical Imaging, Soochow University, Suzhou city, Jiangsu province, 215000, China, 4National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou city, Jiangsu province, 215000, China

Fetal ventriculomegaly (FV) is one of the central nervous system (CNS) major malformations. Prenatal clinical research has seen only a few applications of machine learning. To our knowledge, radiomic machine learning for predicting the change of cerebral ventricular in fetuses with ventriculomegaly has not been reported. We discovered that a combination of clinical characteristics and fetal MRI features could accurately predict postnatal ventricular changes in fetuses with ventriculomegaly. The occipital lobe white matter on the dilated lateral ventricle side may play an important role in the pathophysiological process in FV. 

3719
Booth 6
Fetal brain T1-weighted imaging with a deep learning constrained compressed SENSE reconstruction
Jing Wang1, Zhuo Wang1, Yi Zhu2, and Ke Jiang2

1Radiology, the First Hospital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China

The quality of commonly used fetal T1-weighed inversion recovery(IR) images is relatively poor. Compressed SENSE(CS) technique allows shortening of scan time, but the overall image quality has not been significantly improved. In this study, Compressed-SENSE Artificial intelligence(CS-AI) framework was applied to reduce the scan time and increase the spatial resolution. This study aims at acquiring high-resolution fetal brain T1-weighted image with reduced scan time and compare the image quality among images reconstructed with CS-AI, CS and conventional SENSE.

3720
Booth 7
Cortical development over the first 13 years of life after very preterm birth
Claire Kelly1,2,3, Deanne K Thompson2,3,4, Chris Adamson3, Gareth Ball3,4, Thijs Dhollander3, Richard Beare3, Bonnie Alexander3,5, Jeanie LY Cheong2,6,7, Marc L Seal3,4, Terrie E Inder8, Lex W Doyle2,4,6,7, and Peter J Anderson1,2

1Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia, 2Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 3Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 4Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 5Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia, 6The Royal Women's Hospital, Melbourne, Australia, 7Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia, 8Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States

Longitudinal cortical development following very preterm (VP) birth has been infrequently studied. We undertook a unique longitudinal MRI study of 202 VP infants and 66 term-born infants from shortly after birth to age 13 years. Longitudinal changes in surface-based volume, area and thickness measurements for 62 cortical regions were modelled using generalised additive models. We reveal cortical alterations in the neonatal period and altered cortical development in the early years of life following VP birth. Cortical alterations persisted to age 13, with several regions of reduced volume and area, thickness reductions in temporal regions, and thickness increases in frontal regions.

3721
Booth 8
Distinguishing sonic hedgehog from Group 4 medulloblastoma using amide proton transfer–weighted MR Imaging
AnDong Ma1, YaoMing Qu1, MingJun Lu1, Xia Zou1, XinZi Liu1, Chen Zhao2, and ZhiBo Wen1

1Radiology, ZhuJiang Hospital of Southern Medical University, GuangZhou, China, 2Philips Healthcare, GuangZhou, China

Preoperative prediction of molecular subgroup based on magnetic resonance imaging (MRI) remains a challenge. The objective of this study was to assess amide proton transfer-weighted (APTw) method in medulloblastoma (MB). Preliminary results showed that the mean value of APT value in sonic hedgehog (SHH) -activated MB tended to be higher than that of Group 4 MB.

3722
Booth 9
Relationship between fetal brainstem growth and corresponding gestational weeks: an MRI study
jie LI1, xiao Ling1, songhong Yue1, haoyuan Li1, tao Wen1, jing Zhang1, and kai Ai2

1Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China

We use midsagittal T2WI-based structural MRI images to investigate the relationship between fetal brainstem growth and corresponding gestational weeks. The changes of fetal brainstem substructure in of 153 pregnant women in the middle and late stages were quantitatively evaluated. We found that all measurement indices (height, anteroposterior diameter and cross-sectional area) of normal fetal brainstem were significantly correlated with gestational age. Our study demonstrates that MRI can clearly show the fetal brainstem structure, and the changes of brainstem substructure follow certain rules in fetus.

3723
Booth 10
The value of IVIM and mDIXON-Quant MR imaging in the identification of pediatric IgAN and HSPN
Yupeng Zhu1, Yun Peng1, Xiaorong Liu2, Jianxiu Lian3, Zhiwei Shen3, and Geli Hu3

1Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China, 2Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China, 3Philips Healthcare, Beijing, China

It is difficult to identify IgA nephropathy (IgAN) and Henoch Schonlein purpura nephritis (HSPN) due to their similar clinical features. Functional magnetic resonance imaging (fMRI) can simultaneously obtain tissue structure and function imaging, and evaluate the functional state of kidney. In this study, intravoxel incoherent motion (IVIM) and mDIXON-Quant were performed in pediatric patients with nephropathy, and it was found that IgAN and HSPN were remarkably different in renal function. The values of medulla’s D and cortex’s R2* obtained by IVIM and mDIXON-Quant had the ability in differential diagnosis of IgAN and HSPN.

3724
Booth 11
The value of synthetic MRI in detecting the brain change and hearing impairment of children with sensorineural hearing loss
Penghua Zhang1, Xiaoan Zhang1, Xin Zhao1, Lin Lu1, Jinxia Guo2, Qingna Xing1, Meiying Cheng1, and Lingsong Meng1

1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Research,GE Healthcare,Beijing,China, Beijing, China

Study explored the brain development of children with sensorineural hearing loss (SNHL),which may cause children's language discrimination ability and voice localization ability worse.The auditory pathway was regarded impaired and the related brain structure may change in SNHL,especially in early development stage for children age less  than 3 months.Studies with Diffusion tensor imaging,diffusion kurtosis imaging and fMRImainly investigate the patient age over 2 years old,when its a timechildren's brain is myelinated[1] .  

Synthetic MRI was used in this study to quantitatively evaluate the differences among normal and SNHL with varying degree of hearing loss. The quantitative value of T1 in inferior colliculus,lateral lemniscus and middle cerebellar peduncle were found help early diagnosis of hearing loss of SNHL infants.


3725
Booth 12
Susceptibility-Weighted Imaging for Evaluation of Fetal Vertebrae and Vertebral Anomalies
Xianyun Cai1,2, Jinxia Zhu3, and Guangbin Wang1

1Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China., Jinan, China, China, 2Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China., Jinan, China, China, 3MR Collaboration, Siemens Healthineers Ltd, Beijing, China. Email: jinxia.zhu@siemens-healthineers.com, beijing, China

This study explored the feasibility and clinical value of susceptibility weighted imaging (SWI) in depicting fetal vertebral growth and related anomalies. The results showed that vertebral development in fetuses on SWI was remarkably linearly correlated with gestational ages. In addition, SWI demonstrated superior image quality and higher diagnostic accuracy compared to conventional Half-Fourier acquisition single-shot turbo spin-echo (HASTE) or true fast imaging with steady-state precession (TrueFISP) sequences. In conclusion, SWI is a reliable choice when imaging fetal vertebrae and vertebral anomalies.

3726
Booth 13
Reconstructing a four-dimensional diffusion magnetic resonance imaging atlas of the fetal brain
Ruike Chen1, Cong Sun2, Yuhao Liao1, Tingting Liu1, Junyan Wang3, Yi-Cheng Hsu4, Yi Sun4, Yi Zhang1, Guangbin Wang2, and Dan Wu1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China, 3Zhejiang Lab, Hangzhou, China, 4MR Collaboration, Siemens Healthineers Ltd., Shanghai, China

 Diffusion MRI (dMRI) is a powerful tool to characterize the developing brain, e.g., to map the spatiotemporal development of early white matter (WM) in the fetal brain and to quantify microstructural changes for diagnosis of prenatal disorders. We proposed a pipeline for dMRI atlas generation with fiber orientation distribution-based registration and shape update, and constructed the first spatiotemporal dMRI atlas of the fetal brain in a Chinese population of 90 normal fetuses from 24 to 38 gestational weeks. The atlas provided information for deciphering the morphological and microstructural development of WM tracts during the second to third trimester.

3727
Booth 14
Dilated perivascular spaces in neonates
Hyun Gi Kim1, Sumin Kim2, JeeYoung Kim1, Na Young Shin1, and Yoonho Nam2

1The Catholic University of Korea, Seoul, Korea, Republic of, 2Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of

Perivascular spaces (PVS) are fluid-filled cavities around the blood vessels in the brain. In adults, dilated PVS (dPVS) is known to increase with age but dPVS in neonates is poorly understood. In this study, we performed both visual and volumetric evaluation of dPVS in neonates using T2-weighted images from the Developing Human Connectome project. We found that gender did not affect dPVS extent in neonates, preterm neonates had lower dPVS extent than term neonates, and dPVS fraction decreased with gestational age (GA) at MRI scan. 

3728
Booth 15
Whole-brain oxygen metabolism in adults with sickle-cell disease using susceptometry and T2-based method
Pei-Hsin Wu1, Felix W Wehrli2, and Seyed A Nabavizadeh2

1Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

SvO2 and CMRO2 in patients with sickle cell anemia (SCA) were evaluated by MR susceptibility-based oximetry and compared with that derived from T2-based methods. The results show that (1) SvO2 trends lower and OEF tends to be higher in T2-based methods, (2) there is high correlation of CMRO2 between SBO and HbS model, (3) CMRO2 derived from SBO indicates tCBF was elevated to maintain oxygen delivery and oxygen metabolism in the brain given that CMRO2 is comparable with the healthy subjects reported previously. The preliminary results demonstrate the feasibility of OEF and CMRO2 estimation via SBO in subjects with SCA.


3729
Booth 16
Hemodynamics, brain volume and cortical development in fetuses with complex congenital heart disease
Cong Sun1, Xinyi Xu2, Jiaguang Song3, Yufan Chen1, Chao Zhang1, Yuhao Liao2, Wanrong Luo2, Jinxia Zhu4, Dan Wu2, and Guangbin Wang1,3

1Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 2Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 4Siemens Healthineers Ltd, Beijing, China

Fetuses with complex congenital heart disease (CHD, n=23) and healthy gestational age-matched controls (n=25) were investigated. Hemodynamics were assessed by Doppler examinations. Fetal brain MR images were segmented to get global and regional morphological measurements. Results showed that fetuses with CHD have abnormally higher umbilical artery pulsation index and smaller global and regional brain volumes as early as 20-30 weeks; however, thickness, mean curvature, and sulcal depth of different brain lobes showed no statistical difference from the healthy controls. These results add to growing evidence of antenatal brain abnormalities of the CHD fetuses during the second and early third trimesters.

3730
Booth 17
Regional brain ADC value changes in fetuses with complex congenital heart diseases in the second and early third trimesters
Cong Sun1, Jiaguang Song2, Yufan Chen1, Jinxia Zhu3, and Guangbin Wang1,4

1Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 2Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 3Siemens Healthineers Ltd, Beijing, China, 4Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, Jinan, China

We measured apparent diffusion coefficient (ADC) values in the brains of 64 normal fetuses at 20-40 gestational weeks and 23 fetuses with complex CHD during second and early third trimesters. We also compared  ADC values between the fetuses with CHD and the 27 gestational age-matched normal controls using covariance analyses. Our results showed normal variations in ADC values for fetal brains during maturation in utero. Moreover, the ADC values in the CHD group were not significantly different than the GA-matched normal fetuses, indicating that myelin development was not delayed in the CHD fetuses during the second and early third trimesters.


Multiparameric MRI: Prostate & Rectal Cancer

Gather.town Space: South East
Room: 5
Tuesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 20: Cancer

3731
Booth 1
The efficacy of Intravoxel incoherent motion in predicting positive margins of radical prostatectomy
Wanting Gan1, Shuang Meng1, Lihua Chen1, Nan Wang1, Yunsong Liu1, and Ailian Liu1

1Department of Radiology,the First Affiliated Hospital of Dalian Medical University, Dalian, China

Positive surgical margins(PSMs) are associated with local recurrence and distant metastasis of prostate cancer which affect the long-term survival rate of patients1-3. IVIM can simultaneously observe microcirculatory perfusion of blood and intracellular and extracellular water molecules diffusion4. The results of our study show that f-Bi can be used to predict positive margins of radical prostatectomy.

3732
Booth 2
Research on the Application of Diagnosis and Invasion Assessment of Transition Zone Prostate Cancer by Relaxation Maps From Synthetic MRI
Na Song1, Zhiqiang Chen1, Xiaohua Chen1, Zhuo Wang1, Shaoru Zhang1, Xiaocheng Wei2, Dan Zhang1, and Kai Zhu1

1Radiology, The Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China

In this retrospective study, we aim to investigate the application value of quantitative relaxation time obtained from synthetic MRI in the diagnosis and assessment of aggressiveness of transition zone prostate cancer. It was concluded that quantitative relaxation T1 and T2 values of synthetic MRI are useful parameters for discriminate TZ PCa from BPH, and T1 value demonstrated the similar diagnostic performance as ADC value. Gleason staging could be preliminarily assessed by T2 value of SyMRI in patients who cannot be punctured.

 


3733
Booth 3
Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma
QiuRong Wei1, WeiCui Chen2, LiTing Mao2, Kan Deng3, WeiKang Huang2, Bo Liu2, Xian Liu2, and ZhaoXian Yan2

1The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China, 2the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 3Philips Healthcare, Guangzhou, China

The extramural venous invasion (EMVI) is considered as the potential prognostic factor for patients with rectal carcinoma. We tried to investigate the diagnostic ability of diffusion kurtosis imaging (DKI) - derived parameters as risk factors for EMVI’s involvement status.Our results showed that the Kmean values, lymph node involvement, and an advanced tumor stage (T3) were independent risk factors for the prediction of EMVI status, which may suggest that the DKI as a potential biomarker for evaluating the EMVI status of rectal cancer is feasible.

3734
Booth 4
Quantitative T2 mapping in early prediction of treatment response to chemoradiation for patients with local advanced rectal cancer
Yuxi Ge1,2 and Weiqiang Dou3

1Affiliated Hospital of Jiangnan University, Wuxi, China, 2MR Research, GE Healthcare, Nanjing, China, 3GE Healthcare, Nanjing, China

This study aimed to investigate the feasibility of T2 mapping in predicting the response to chemoradiation (CRT) for patients with local advanced rectal cancer (LARC). Thirty-five LARC patients were measured with T2 mapping before-, during- and after-CRT. Resultant T2 values during- and after-CRT, and the T2 decrease ratio of before- to during-CRT were correlated significantly with tumor regression grade. Compared to poor responders, good responders showed lower T2 during- and after-CRT and higher T2 decrease ratio of before- to during-CRT. Therefore, quantitative T2 mapping may be useful for predicting the response to CRT for LARC patients.

3735
Booth 5
Diffusion kurtosis imaging predicts positive margins after radical resection of localized prostate cancer
Shuang Meng1, Lihua Chen2, Nan Wang2, Yunsong Liu2, and Ailian Liu2

1Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China

PSMs are an independent risk factor for biochemical recurrence in patients after radical prostatectomy. DKI quantifies the non-Gaussian nature of the real water molecule diffusion, and accurately reveals the changes in the microstructure of the tissue. Results of this study indicate that MD, Da , Dr, MK, Ka and Kr can be used to predict predicts positive margins after radical resection of localized prostate cancer.

3736
Booth 6
MRI-derived radiomics to guide initial prostate biopsy for initial biopsy patients
Cheng Xueqing1, Li Haixia2, and Chen Yuntian1

1Department of radiology, West China Hospital, Chengdu, China, 2Philips Healthcare, Guangzhou, China

In this study, we applied the radiomics features of both suspected lesion and prostate gland on bi-parametric MRI (bpMRI) (T2W and ADC) to predict whether targeted biopsy alone is enough in detecting clinically significant prostate cancer (csPCa) in biopsy naïve men and compare their value with PI-RADS category.

3737
Booth 7
Added Value of Isotropic High-Resolution 3D T2-weighted Imaging in Differentiation of Tis–T1 from T2 Stage in Rectal Cancers
Yu Guo1, Yu Fu1, Jiansen Li2, Lei Zhang1, Zhuo Wang1, and Huimao Zhang1

1The First Hospital of Jilin University, Changchun, China, 2United Imaging Healthcare, Shanghai, China

2D T2WI obtained in multi plane is recommend in preoperative assessment of rectal cancer, but 2D acquisition suffers from heavy partial volume effects. As a result, 2D T2WI cannot assess early rectal cancer stages accurately. Comparing with 2D T2WI, 3D T2WI could provide higher spatial resolution, especially the thin slice thickness, with highly reduced partial volume effects in rectal MRI. The purpose of the study was to compare the local-regional staging accuracy of the conventional 2D T2WI protocol and the 3D T2WI protocol for preoperative MR imaging in early rectal cancer patients.

3738
Booth 8
Detection of prostatic peripheral zone cancer based on quantitative analysis of 3.0T MR Diffusion Tensor Imaging
Zhuo Wang1, Zhiqiang Chen1, Shaoru Zhang1, Xiaohua Chen1, Dan Zhang1, Na Song1, Yuhui Xiong2, Lei Cai3, and Bing Chen3

1The Department of Radiology, General Hospital of Ningxia Medical University,, YinChuan, China, 2GE Healthcare, Beijing, China, 3The Department of Radiology, General Hospital of Ningxia Medical University,, Yinchuan, China

In this study, we aim to evaluate the diagnostic performance of diffusion tensor imaging (DTI) in detecting prostatic peripheral zone cancer and to deduce its clinical utility. The area under curve (AUC) of the receiver operating characteristic (ROC) curves was used to evaluate the diagnostic efficiency of ADC value, FA value and their combination. The diagnostic threshold values of ADC and FA were also determined. It was concluded that DTI quantitative indexes has moderately high diagnostic accuracy in detecting prostate cancer , while the ADC value had higher diagnostic efficiency than the FA value.

3739
Booth 9
The combination of DCE-MRI and IVIM to differentiate rectal mucinous adenocarcinoma and tubular adenocarcinoma
yuhui liu1,2, anliang chen1, Wan Dong1, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China

The purpose of this study is to use IVIM(intravoxel incoherent motion)and DCE(dynamic contrast-enhanced)imaging techniques to identify the value of rectal mucinous adenocarcinoma and tubular adenocarcinoma, and to provide rich information and help for clinical decision-making. 

3740
Booth 10
NMR-based metabonomic fingerprinting reveals temporal and spatial heterogeneities of metabolic characterization in colorectal cancer tissue
Yan Lin1, Huanian Zhang1, Ting Ouyang1, Rongzhi Cai1, Peie Zheng1, yao Fu1, and Renhua Wu1

1Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou City, China

This study aimed to profile the metabolic differences of colorectal cancer tissues (CCT) in different stages and sites, as compared with their adjacent noncancerous tissues (ANT), to investigate the temporal and spatial heterogeneities of metabolic characterization. Our NMR-based metabonomics fingerprinting revealed that many of the metabolite levels were significantly altered in CCT as compared with ANT, indicating deregulations of glucose metabolism, one-carbon metabolism, glutamine metabolism, amino acid metabolism, fatty acid metabolism, TCA cycle, choline metabolism, ect. Significant metabolic differences were found in CRC tissues at different pathological stages and sites, suggesting temporal and spatial heterogeneities of metabolic characterization in CCT. 

3741
Booth 11
Deep slice-crossed network with local weighted loss for brain metastases detection and segmentation
Jiao Qu1, Xin Shu2, Wenjing Zhang1, Mengyuan Xu1, Ying Wang1, Lituan Wang2, Lei Zhang2, and Su Lui1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2College of Computer Science, Sichuan University, Chengdu, China

Brain metastases detection and segmentation on magnetic resonance images is laborious, error-prone and often irreproducible for radiologists and radiation oncologist. We present a specific deep slice-crossed network with local weighted loss to automatically detect and segment brain metastases on contrast-enhanced T1WI images. The results demonstrated the good performance, high robustness and generalizability of the model. In addition, compared with radiologists, the model showed higher sensitivity and increased efficiency in identifying and segmenting brain metastases. The results jointly suggested that the proposed model is a promising tool to assist the workflow in the clinical practice.

3742
Booth 12
A preliminary investigation of radiomics-based diffusion kurtosis imaging differences between glioblastoma and solitary brain metastasis
Eryuan Gao1, Guohua Zhao1, Huiting Zhang2, Ankang Gao1, Xiaoyue Ma1, Jie Bai1, Xu Yan2, Yusong Lin3, Guang Yang4, and Jingliang Cheng1

1department of magnetic resonance imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3the School of Software, Zhengzhou University, Zhengzhou, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

The differentiation of glioblastomas from solitary brain metastases by using routine magnetic resonance imaging (MRI) alone presents a challenge. As a representative of diffusion MRI technology, diffusion kurtosis imaging (DKI) can closely reflect the real situation of water molecule movement in tumor tissues. We speculate that DKI radiomics is superior to routine MRI radiomics in distinguishing GBMs from SBMs. We developed a series of radiomics models of DKI parameter maps and routine MRI to compare their performance. Finally, several independent parameters models perform well in distinguishing two tumors. The combined DKI radiomics model obtained the best performance.

3743
Booth 13
A Deep Survival Model based on MR Radiomics and EGFR status to Predict Overall Survival after Radiosurgery in Brain Metastases
Chien-Yi Liao1, Cheng-Chia Lee2,3,4, Huai-Che Yang2,3, Wen-Yuh Chung2,3, Hsiu-Mei Wu3,5, Wan-Yuo Guo3,5, Ren-Shyan Liu6, and Chia-Feng Lu1,7

1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, 3School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, 4Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, 5Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan, 6Department of Medical Imaging, Cheng-Hsin General Hospital, Taipei, Taiwan, 7Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan

About 30% of Non-small cell lung cancer (NSCLC) patients develop brain metastases (BMs) during the course of the disease. MR radiomics and EGFR mutation status were reported with the potential to predict the local tumor control of Gamma Knife stereotactic radiosurgery (GKRS). The prediction of overall survival after GKRS can further benefit the management of BM patients. We proposed a deep learning-based model using the clinical information, EGFR mutation status, and MR radiomic features to predict the overall survival after GKRS. We suggested that pre-GKRS MRI characteristics combined with gene and clinical information can improve the prediction of overall survival.

3744
Booth 14
Habitat Analysis of Multi-parametric MRI for Predicting Postoperative Recurrence of Meningioma
Chengxiu Zhang1, Yang Song2, Lin Lin3, Rufei Zhang3, Minxiong Zhou4, Xu Yan2, and Guang Yang1

1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 3Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 4Shanghai University of Medicine & Health Sciences, Shanghai, China

We used multi-parametric MRI to predict the postoperative recurrence of meningioma. Compared to the usual radiomics on analyzing the whole tumor, we used an unsupervised clustering method to explore the tumor habitats. Interpretable features were extracted from subregions of the lesion and used to build a habitat radiomic model. The habitat model achieved an AUC of 0.711 compared with 0.569 achieved by whole tumor analysis. The split subregions of the tumor also have clear biological meanings to the radiologists.

3745
Booth 15
Comparative analysis of IVIM and PET imaging versus APTw in assessing Ki-67 expression of non-small cell cancer
Ting Fang1,2, Nan Meng1, Zhun Huang2, Pengyang Feng2, Ziqiang Li2, Yang Yang3, Jianmin Yuan4, and Meiyun Wang2

1Zhengzhou University People's hospital, Zhengzhou, China, 2Henan Provincial People's Hospital, Zhengzhou, China, 3Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China, 4Central Research Institute, Shanghai, China

Intra-Voxel Incoherent Motion (IVIM), PET imaging, and Amide Proton Transfer weighted imaging (APTw) are all effective tools for distinguishing the pathological types of solitary pulmonary lesions. The difference between their ability to distinguish the Ki-67 high expression (HE) and low expression (LE) group is still unclear. Our study shows IVIM and PET imaging are better methods than APTw for distinguishing Ki-67 HE and LE groups of non-small cell cancer.


Clinical Perfusion Imaging

Gather.town Space: South West
Room: 3
Tuesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

3746
Booth 1
How does Levodopa treatment in Parkinson’s disease impact perfusion: A MR pCASL Study
Hanyu Wei1,2, Le He1, Rui Li1, and Yu Ma3

1Tsinghua University, Beijing, China, 2Tsinghua University, Bejing, China, 3Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China

Levodopa therapy of Parkinson’s disease(PD) was considered to have effects on dopamine and norepinephrine levels therefore tending to alter the cardiovascular circulation. To find how cerebral perfusion changes in the levodopa process among PD patients, both perfusion capacity and spatial patterns computations were performed in this study. The initial conclusion is no obvious evidence supporting that cerebral perfusion alternation was effected in levodopa process. Further investigations were required to validate this point of view.

3747
Booth 2
Can combined 3D pcASL and t-ASL imaging effectively assess collateral compensation for patient with unilateral MCA severe stenosis or occlusion?
juan li1, guangrui shao1, and weiqiang dou2

1The Second Hospital of Shandong University, jinan, China, 2MR Research, GE Healthcare, beijing, China

This study aimed to compare the difference of blood perfusion and collateral circulation compensation between symptomatic and asymptomatic patients with severe stenosis or occlusion of unilateral middle cerebral artery (MCA) by using 3D pseudo-continuous arterial spin labeling (pcASL) at two different post labeling delays (PLD) times of 1.5s and 2.5s and territorial pcASL with bilateral internal carotid arteries, ipsilateral external carotid artery and vertebrobasilar artery labelled. 49 patients (26 symptomatic and 23 asymptomatic) were recruited. Compared with symptomatic group, asymptomatic group showed significantly stronger collateral circulation and higher number of patients with secondary collateral circulation opening.

3748
Booth 3
Explainable and Quantitative LI-RADS Automated Grading System for Hepatocellular Carcinoma based on Dynamic Contrast-Enhanced MRI
Xueqin Xia1, Li Yang2,3, Ruofan Sheng2,3, Rencheng Zheng4, Weibo Chen5, Chengyan Wang1, Mengsu Zeng2,3,6, and He Wang1,4

1Human Phenome Institute, Fudan University, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Shanghai Institute of Medical Imaging, Shanghai, China, 4Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 5Philips Healthcare, Shanghai, China, 6Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China

The judgment of the three major features of LI-RADS by radiologists is subjective and time-consuming. We proposed an explainable and quantitative algorithm based on DCE MRI to recognize the three major features and then get LI-RADS grades together with tumor diameter. The AUC is 0.96, 0.92, 0.70 in the validation set and 0.98, 0.90, 0.76 in the testing set for arterial phase hyper-enhancement (APHE), washout, and capsule. The overall accuracy of LI-RADS grades is 0.68 and 0.71 for the validation and testing set. The developed automatic LI-RADS grading system can provide explainable results for HCC diagnosis with high efficiency.

3749
Booth 4
Cerebrovascular dysfunction leads to related Gray Matter loss in HIV infection
Bei Wang1, He Wang1,2, Ying-Hua Chu3, Yuxin Shi4, Dan-Chao Cai4, and Yi Zhan4

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, 4Radiology department,Shanghai Public Health Clinical Center, Fudan University, Shanghai, China

We examined the effects of HIV on the structure of cerebrovasculature and the interactions among HIV infection, brain tissue volume and cerebrovascular structure.  Decreased cerebral vessel volume, vessel length and branch number were found in people with HIV.  HIV related gray matter loss was found caused by the decreasing vessel length. Additionally, decreasing vessel distribution in left insula was found in vessel probability atlas in people with HIV, which may relate to  various clinical symptoms.

3750
Booth 5
Increased Cerebral Blood Flow in Recovered COVID-19 Patients Assessed by Arterial Spin Labeling MRI
Yan Bai1, Yaping Wu1, Wei Wei1, Xianchang Zhang2, and Meiyun Wang1

1Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthineers Ltd., Beijing, China

Increased global and regional cerebral blood flow were observed in recovered corona virus disease 2019 patients, which may reflect the brain’s compensatory responses following corona virus disease 2019.

3751
Booth 6
Blood Oxygen Level-Dependent Imaging of Lower Limbs: Perfusion and Clinical Assessment of Peripheral Artery Disease
Xiaoxi Yu1, Zhaoxi Liu2, Jianxun Qu3, Fengdan Wang2, Zhichao Lai1, Jiangyu Ma1, Xiaoyuan Fan2, Luming Ye4, Jiang Shao1, Yan Zhang2, Feng Feng2, Bao Liu1, and Zhengyu Jin2

1Vascular Surgery, Peking Union Medical College Hospital, Beijing, China, 2Radiology, Peking Union Medical College Hospital, Beijing, China, 3Siemens Healthineers Ltd., Beijing, China, 4Advanced Therapies Collaboration, Siemens Healthineers Ltd., Beijing, China

This study used blood oxygen level-dependent (BOLD) MRI to assess the hemodynamics of the lower limbs for patients with peripheral artery disease. We obtained dynamic change of BOLD T2* with high temporal and spatial resolution in reactive hyperemia experiment and found good correlation between BOLD parameters and clinical walking performance, which verified the significance of perfusion measurement for clinical assessment.

3752
Booth 7
Application of a modified tri-exponential DWI in detecting the change of glymphatic system: a preliminary exploration in gliomas
Mengqiu Cao1, xiaoqing wang2, ke xue3, Yongming Dai3, and Yan Zhou2

1Department of Radiology, Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shangha, shanghai, China, 2Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shangha, shanghai, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, shanghai, China

Spectral analysis using non-negative least squares in a modified tri-exponential muti-b-value diffusion-weighted imaging(DWI) enables estimation of an intermediate component in the diffusion spectrum between parenchymal diffusion and microvascular pseudo-diffusion. Several studies have suggested the intermediate component to be with the glymphatic alterations in different disease state. The aim of this this study aims to investigate whether the modified tri-exponential model are effective in evaluating the grading and IDH-1 gene type of gliomas.

3753
Booth 8
Alterations of the Intranetwork and Internetwork Connectivity of Default Mode Network and Olfactory Network in Patients with COVID-19
Hui Zhang1,2, Tom Wai-Hin Chung3, Fergus Kai-Chuen Wong4, Siddharth Sridhar3,5,6, Ivan Fan-Ngai Hung6,7, and Henry Ka-Fung Mak1,2,8

1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Alzheimer's Disease Research Network, The University of Hong Kong, Hong Kong, Hong Kong, 3Department of Microbiology, The University of Hong Kong, Hong Kong, Hong Kong, 4Department of Ear, Nose and Throat Surgery, Pamela Youde Nethersole Eastern Hospital, Hong Kong, Hong Kong, 5State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, Hong Kong, 6Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong, Hong Kong, 7The Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong, Hong Kong, 8State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong

To identify the functional abnormalities of olfactory network (ON) and default mode network (DMN) in COVID-19 patients, resting state fMRI (rs-fMRI) was applied in this study. Seed-based and ROI × ROI analysis were used to calculate the inter- and intra-network connectivity of DMN and ON. In the results, COVID-19 patients showed higher intranetwork connectivity in DMN and internetwork connectivity between ON and DMN. We postulated that these greater activities compensate for the deficits of olfactory processing and general well-being. In addition, our study suggests rs-fMRI to be a useful biomarker for the evaluation of COVID patients.

3754
Booth 9
Brain Functional Connectome prospectively encodes Distress Symptoms During COVID-19 pandemic
Nanfang Pan1, Song Wang1, Kun Qin1, Yajing Long1, and Qiyong Gong1

1Huaxi MR Research Center, Chengdu, China

In the prospective investigation of public mental health following COVID-19 pandemic, we assessed the psychological status of a general sample. Furthermore, we built a brain-distress construct which mainly contained within- and between-DMN connection patterns, and the left hippocampus emerged as the hub region in distress-related connectome. Based on customized brain connectomes, we may identify individuals who confer high vulnerability to pandemic-induced distress symptoms with well-performing predictive modeling. Our findings may facilitate the understanding of neural correlates underlying distress on the individual macro-scale network level, and the susceptibility markers may serve as targets for prevention and intervention.

3755
Booth 10
Functional Human Brain Connectivity During Labor and its Alteration under Transcutaneous Electrical Nerve Stimulation
Chih-Chien Tsai1,2, An-Shine Chao3, Ngoc-Thanh Hoang4, and Jiun-Jie Wang1,2,5,6

1Department of Medical imaging and Radiological Science, Chang-Gung University, Taoyuan City, Taiwan, 2Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan, 3Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 4Department of Radiology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam, 5Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 6Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University/Chang Gung Memorial Hospital, Taoyuan City, Taiwan

Pain management during labor is an essential part of general obstetric care. Use nonpharmacological methods such as transcutaneous electrical nerve stimulation (TENS) for pain relief is necessary because the risk from anesthetics and analgesics to the mother and fetus should always be considered. Therefore, we investigate the neural network alteration of the brain in pain relief by TENS during labor. Our findings indicated the TENS during labor might change functional connectivity of the pain-related network to reach the effect of pain relief, which improve our understanding of the neural representations of nociceptive and visceral pain-related networks.

3756
Booth 11
Focused ultrasound thalamotomy for the treatment of tremor impacts the cerebello-thalamo-cortical tremor network
Louisa Dahmani1,2, Yan Bai1, Meiling Li2, Lunhao Shen2, Jianxun Ren2, Jianjun Ma1, Danhong Wang2, Lei Du2, Weigang Cui3, Meiyun Wang1, and Hesheng Liu2,3

1Henan Provincial People’s Hospital & People Hospital of Zhengzhou University, Zhengzhou, China, 2Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 3Medical University of South Carolina, Charleston, SC, United States

We used Magnetic Resonance-guided Focused Ultrasound to reduce hand tremor in 13 patients with Parkinson’s disease and essential tremor, by lesioning the ventral intermediate nucleus (VIM) of the thalamus. We also investigated the functional reorganization of the brain after the procedure. We observed a 67% reduction in target hand tremor following the procedure. The regions that showed above-average change in functional connectivity are part of the cerebello-thalamo-cortical tremor network, confirming that lesioning the VIM was successful in targeting this network. We also observed some normalization in the functional connectivity of the target hand motor region, congruent with tremor alleviation.


3757
Booth 12
Implementation of a Multiparametric MRI Model of Glioma Infiltration for Dose Painting Radiotherapy
Caterina Brighi1,2, David E. J. Waddington1,2, Farhannah Aly2,3,4, Eng-Siew Koh2,3,4, Amy Walker2,3,4, Philip C. de Witt Hamer5,6, Niels Verburg5,6, Lois C. Holloway2,3,4, Brendan Whelan1,2, Cathy Chen3, and Paul J. Keall1,2

1ACRF Image X Institute, Sydney School of Health Science, The University of Sydney, Eveleigh, Australia, 2Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, Australia, 3Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, 4South West Sydney Clinical School, University of New South Wales, Sydney, Australia, 5Brain Tumor Center Amsterdam, Amsterdam University Medical Centre, Amsterdam, Netherlands, 6Department of Neurosurgery, Amsterdam University Medical Centre, Amsterdam, Netherlands

Multiparametric MRI (mpMRI) promises to guide dose painting (DP) radiotherapy to improve local control rates in glioblastoma (GBM) patients. In this study we develop a workflow for DP based on a clinically validated mpMRI model of infiltrative tumour in GBM patients. We demonstrate the repeatability of DP prescriptions, the quality of the resulting DP plans, and that DP can improve modelled local control rates over standard radiotherapy in GBM patients. Our findings provide evidence of technical and clinical validation steps, which are key for the clinical translation of mpMRI-based DP in GBM.

3758
Booth 13
Changes of structural network in patients with early Lacunar Infarction
XUCHEN YU1, Hongwei Li1, Min He2, Weibo Chen3, Jing Ding2, and He Wang 1

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Neurology, The Affilated Zhongshan Hospital of Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China

Most of the lacunar infarcts are small and asymptomatic, while it could not illustrate brain function is normal. Due to the potential impact of early disseminated lacunar infarcts on brain network and function remains unclear, the objective of this study was to assess whether there were changes in brain network and functional connectivity.

3759
Booth 14
Automatic Targeting of the Dorsolateral Subthalamic Nucleus for Functional Connectivity Guided rTMS Therapy
Na Zhao1,2,3,4,5, Yang Qiao 1,2,3,4,6, Juan Yue1,2,3, Ying Jing1,2,3, Meng Zhang1,2,3, Jianguo Zhang7, Zhen Yuan4,6, Yong Zhang8, Yu-Tao Xiang4,5, Jue Wang9, and Yu-Feng Zang1,2,3

1Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China, Hangzhou, China, 2Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China, Hangzhou, China, 3Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China, Hangzhou, China, 4Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China, Taipa, Macau, 5Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China, Taipa, Macau, 6Faculty of Health Sciences, University of Macau, Macao SAR, China, Taipa, Macau, 7Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical, Beijing, China, 8MR Research, GE Healthcare, Shanghai, China, Shanghai, China, 9Institute of sports medicine and health, Chengdu Sport University, Chengdu, China, Chengdu, China

The current study developed an AutoSTN method to help automatically localize the dorsolateral STN (DL-STN) according to steps in deep brain stimulation (DBS). Furthermore, for the consideration of the RS-fMRI FC-guided rTMS clinical study and application, we developed one-stop plug-in named ‘CC-CAT’ which could serve any RS-fMRI FC-guided rTMS treatment. 


Multiparametric MR: Liver & Kidney Cancer

Gather.town Space: South East
Room: 6
Tuesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 20: Cancer

3760
Booth 1
Fumarate Metabolic Signature for Detecting Hereditary Leiomyomatosis and Renal Cell Carcinoma Syndrome-associated Renal Cell Carcinoma
Guiqin Liu1, Guangyu Wu1, Yongming Dai2, and Ke Xue2

1Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2United Imaing Healthcare, Shanghai, China

Non-invasive in vivo detection of abnormal fumarate accumulation is important for identify fumarate hydratase (FH) deficiency in hereditary leiomyomatosis and renal cell carcinoma (HLRCC). However, until now, no study has been reported to successfully identify fumarate accumulation in HLRCC-associated RCC. In our study, we achieved an 100% accuracy in primary HLRCC-associated RCC, as well as all of the HLRCC PDX models. For our best knowledge, it is the first time that, MRS can be successfully used to in vivo detected in FH-deficient renal lesions, which is a crucial innovation of conventional imaging diagnostic technology.

3761
Booth 2
A clinicopathological-radiological nomogram for prognosis of postoperative hepatocellular carcinoma
Lidi Ma1, Kan Deng2, Haixia Li2, Cheng Zhang1, and Chuanmiao Xie1

1Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China, 2Philips Healthcare, Guangzhou, China

Few studies both focus on the prognosis for patients with early recurrence and five years overall survival (OS) for patients with BCLC 0-C. Here, we  established nomograms for predicting 5-year overall survival and early recurrence after curative resection of Hepatocellular carcinoma (HCC) based on clinicopathological-radiological model and investigated whether different treatment methods have influenced on OS for patients with early recurrence. The results demonstrate that the nomogram, based on clinical, pathological and radiological factors, had good accuracy in estimating OS and recurrence respectively. Further, reoperation maybe the best option for patients with recurrence in good condition.

3762
Booth 3
Reliability of the volumetric positional probability distribution of liver tumor using volumetric 4D-MRI: effect of temporal resolution
Oi Lei Wong1, Jing Yuan1, Darren Ming Chun Poon2, Yi Hang Zhou1, Siu Ki Yu3, and Kin Yin Cheung3

1Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, 2Comprehensive Oncology Center, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, 3Medical Physics Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong

This study aims to evaluate the impact of temporal resolution on the positional probability distribution. Based on our results, PPV was independent of the fps setting and was most reliable at the probability of occurrence >35 - 50%. Thus, PPV is potentially useful to minimize the registration error during daily positional verification.

3763
Booth 4
Histogram Peritumoral Enhanced Features on 3.0T MRI Arterial Phase Can Predict the Microvascular Invasion of Hepatocellular Carcinoma
Xinxin Wang1, Yunfeng Sun1, Xueyan Zhou2, Hongxia Zhang1, Jianxiu Lian3, and Yang Zhou1

1Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China, 2Harbin University, Harbin, China, 3Philips Healthcare, Beijing, China

Preoperative microvascular invasion (MVI) prediction plays an important role in therapeutic decision-making of hepatocellular carcinoma (HCC). We aimed to investigate the value of histogram based on the arterial phase (AP) of magnetic resonance imaging (MRI) with extracellular contrast agent compared with radiological features for predicting MVI of solitary HCC. Results showed that peritumoral AP enhanced degree on MRI showed an encouraging predictive performance for preoperative prediction of MVI, especially in sHCCs (AUC=0.798, sensitivity =54.84%, specificity =100% ). Corona enhancement thickness≤8 mm may be used as a predictive marker for MVI when compared with the group with thickness>8 mm.

3764
Booth 5
Differentiation of Primary and Secondary Liver Cancer with Amide Proton Transfer-weighted imaging and Dynamic contrast-enhanced imaging
Xue Ren1, Jiazheng Wang2, Peng Sun2, Lihua Chen1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Tao Lin1, Qihao Xu1, and Ailian Liu1

1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

Liver cancer has become one of the most frequent fatal malignancies around the world. And the early precise diagnosis of different types of liver cancer is very critical for treatment strategy design. This retrospective study evaluated the diagnostic efficacy of amide proton transfer weighted (APTw) and dynamic contrast-enhanced (DCE) imaging for the differentiation between primary and secondary liver cancer. Results showed that a combination of APTw and DCE significantly improved the diagnosis of liver cancer.

3765
Booth 6
To characterize clear cell renal cell carcinoma using diffusion weighted imaging with a fractional order calculus model
Bowen Shi1, Ke Xue2, Yili Yin1, Qing Xu1, Binbin Shi1, Dongmei Wu3, Yongming Dai4, and Jing Ye1

1Department of Medical Imaging, Clinic Medical School, Yangzhou University, Northern Jiangsu Province Hospital, Yangzhou, China, 2MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare Co.,Ltd, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China, 4MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China

Accurately characterizing ccRCC grades with a non-invasive method would be vital for guiding treatment and prognosis. This study evaluated and compared the performance of conventional ADC and the FROC parameters, Dfroc, β, μ, in differentiation of low- and high-grade ccRCC. All the FROC parameters showed better diagnostic performance than ADC in characterizing ccRCC grades, among which β yielded the highest AUC value. This implied the clinical potential of the FROC model in evaluating renal tumor aggressiveness and the dominant role of β in probing tumor heterogeneity and microstructural complexity.

3766
Booth 7
Dynamic Contrast-Enhanced T1 Mapping: Repeatability, Reproducibility, and Differentiating Clear Cell Renal Cell Carcinoma from Non-ccRCC
Shuai Wang1, Binghui Zhao1, Jilei Zhang2, and Weibo Chen2

1Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China, 2Philips Healthcare, Shanghai, China

T1 mapping is a quantitative MR technique that can be used to measure the longitudinal relaxation time of tissues. Previous studies demonstrated that it is potentially able to differentiate benign and malignant tumors and identify histopathological grade. In this study, the dynamic contrast enhanced (DCE) T1 mapping exhibited the robust reproducibility and repeatability and thus may have potential be used for quantitative renal tumor evaluation in cross-sectional and longitudinal studies. Furthermore, we found that clear cell renal cell carcinoma (ccRCC) had higher native and enhanced T1values than non-ccRCC. Thus, DCE T1 mapping is promising in differentiating ccRCC from non-ccRCC.


3767
Booth 8
Prediction of Lymphatic Vessel Space Invasion of Cervical Squamous Cell Carcinoma Based on Enhanced MRI Radiomics Method
Haixia Yu1 and Jianping Ding1

1Department of Radiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China

Cervical Cancer Lymph-vascular space invasion (LVSI) is a type of cancer cells that invade into lymphatics and blood vessels.The typical symptoms are closely related to the distant metastasis of cervical cancer.The selection of treatment strategies for early cervical cancer is particularly important.This study established and verified the radiomics based on enhanced MRI to predict the preoperative LVSI status of cervical squamous cell carcinoma, which can be used as a noninvasive biomarker to better predict the LVSI status of patients with cervical squamous cell carcinoma.

3768
Booth 9
A MRI-based model using Graph Convolutional Network combine Nomogram to predict Microvascular invasion diagnosis
Yang Zhou1, Ziqian Zhang1, Wenjuan Zhao1, Xinxin Wang1, Kun Wang2, Kuan Luan2, Jianxiu Lian3, and Mengchao Shi3

1Harbin Medical University Cancer Hospital, Harbin 150010, Harbin, China, 2Harbin Engineering University, Harbin 150001, Harbin, China, 3Philips Healthcare, Beijing, China

Accurate preoperative assessment of microvascular invasion (MVI) can help clinicians choose more reasonable treatment options, reduce the recurrence of HCC patients after surgical treatment, and improve the survival rate of patients. In this study, Graph convolutional network (GCN) was used to build a preoperative diagnostic model for MVI for mining the correlation between radiomic features. The results revealed that the value of the predicted MVI nomogram established was 0.884 in the validation when the radiographic characteristics of the patients were combined with graph convolutional network Score(GS).

3769
Booth 10
Investigating the visual predicting model of metabolic biomarkers in biofluids for esophageal cancer detection using NMR-based metabolomics
Yan Lin1, Ting Ouyang1, Huanian Zhang1, Rongzhi Cai1, Peie Zheng1, Zhijie Fu1, Han Zhou1, and Renhua Wu1

1Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou City, China

Constructing an optimal metabolic model by combining biomarkers in biofluids may improve its non-invasive screening efficiency for esophageal cancer (EC). In this study, urine and serum specimens representing the healthy and EC individuals were examined using high-resolution 600 MHz 1H NMR technique. Furthermore, the paralleled patient-matched metabolites of EC tumor tissues and their adjacent non-cancerous tissues were investigated, which was used as references to determine biofluids metabolic biomarkers. The visual nomogram prediction model through a combination of creatine and glycine in both serum and urine was constructed using multiple regression analysis, which improves the diagnostic efficiency for EC.

3770
Booth 11
Preoperatively Predict Microvascular Invasion in Hepatocellular Carcinoma - via Multi-region Radiomic Analysis in Multi-sequence MRI
Zewen Han1, Xiaojie Chen2, Lanmei Gao2, and Yueming Li2

1The School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China, 2Department of Radiology, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China

Microvascular invasion (MVI) affects postoperative prognosis in hepatocellular carcinoma (HCC) patients. Radiomics has shown great potential in providing valuable information for tumor pathophysiology. We aim to use multi-sequence MRI radiomics focused on not only intratumoral and peritumoral areas, but also the HCC-liver interface to predictive MVI status preoperatively. The radiomics and clinico-radiological indicator-based fusion model can well predict MVI status in HCC patients.

3771
Booth 12
High-resolution DWI for liver lesion detection in patient at-risk for HCC: prospective comparison with the HBP using gadoxetic acid
Zhen Zhang1, Hanyu Jiang1, Ting Duan1, Bin Song1, and Xiaoyong Zhang2

1Department of Radiology, West China Hospital, Chengdu, China, 2Clinical Science, Philips Healthcare, Cheng du, China

Compared with conventional diffusion-weighted imaging (DWI), high-resolution DWI (HR-DWI) can improve the image quality with higher image scores. In patients with increased risk for hepatocellular carcinoma, gadoxetic acid-enhanced MRI with HR-DWI showed comparable performance with conventional DWI + hepatobiliary phase for detecting potentially malignant liver lesions.

3772
Booth 13
Plain magnetic resonance imaging by black blood sequences to assess vascular invasion of complex retroperitoneal occupying
Ying Cui1, Yufei Zhao1, and Xingui Peng1

1Southeast University, Nanjing, China

This study aimed to investigate the value of plain conventional and black-blood magnetic resonance imaging (MRI) for assessing the invasion of large and important vessels in patients with complex retroperitoneal tumors. The great advantages of vascular wall imaging are non-invasive and non-enhanced,  as well as three-dementional, which provides a better presence and evaluation of wall structure, tumor contact of the vessel circumference, narrowing, and deformity. The researchers in the field of vascular imaging should be interested in this topic. 

3773
Booth 14
Comparison of Computed DWI with actual scanned DWI for nasopharyngeal carcinoma detection using DWI TSE MVXD
Zhigang Wu1, Rui Chen2, Zaiyi Liu2, Fei Zeng1, Guangyi Wang2, and Huifeng Ye2

1Philips Healthcare, Beijing, China, 2Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Diffusion MRI provides unique information on the structure, organization, and integrity of the nasopharyngeal carcinoma (NPC) non-invasively. Higher b-values diffusion-weighted imaging could improve the detection rate of malignancies. We use the combination of DWI TSE Multivane XD and computed DWI to generate the high b values diffusion for nasopharyngeal whithout distortion, with higher SNR and less scan time. A in vivo comparison between actual scanned DWI and cDWI study was also studied on both volunteer and patients with NPC. The image quality is comparable. It shows cDWI is a promising technique for the NPC diagnosis.

3774
Booth 15
Value of Qualitative and Quantitative DCE-MRI Analysis based on GRASP Acquisition in Diagnosing of breast lesions
Xin-zhu Zhou1, Hua Lai1, Lian-hua Liu1, Shuang He1, Hui-fang Yao1, Li-ping Chen1, Chen Deng1, Ya Yang1, Qiang Lei1, and Yun-zhu Wu2

1Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China

This study investigated the diagnostic capabilities of qualitative and quantitative parameters derived from high-resolution DCE-MRI with GRASP sequence. 31 patients (33 lesions, 13 benign and 20 malignant lesions) were prospectively included. The results showed that there were prominent discrepancies of quantitative and quantitative parameters between malignant and benign breast lesions. Ktrans, Kep, and iAUC(60) had excellent diagnostic efficiency for breast cancer.


Pediatrics, Normal Development & Aging I

Gather.town Space: South West
Room: 2
Tuesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 28: Pediatrics, Normal Development & Aging

3775
Booth 1
Developmental pattern of association fibers and their interaction with associated cortical microstructures in 0-5 month-old infants
Tingting Liu1, Yuqing You2, Zhiyong Zhao1, Zuozhen Cao1, Ruike Chen1, Mingyang Li1, Ying Lv3, Mingyan Li3, Fusheng Gao2, Hongxi Zhang2, Chai Ji3, and Dan Wu1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Department of Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China

The present study aimed to investigate the spatiotemporal developmental pattern of association fibers in infants aged 0-5 months and the interaction between these fibers and the associated cortex utilizing FBA based on HARDI data. We found that the C-shaped fibers demonstrate an approximately symmetrical along-track pattern with more advanced development in the middle segments than the extremities; the horizontally oriented fibers manifest that the anterior segments started later but developed faster than the posterior segments. Mediation analysis revealed the mediation effect of cortical GM on the development of WM was more prominent than that of WM on GM.

3776
Booth 2
Effects of low-moderate prenatal alcohol exposure on brain development in childhood
Claire Kelly1,2,3, Thijs Dhollander2, Evelyne Muggli1,4, Jane Halliday4,5, Elizabeth Elliott6,7, Anthony Penington4,8, Alicia Spittle1,9, Della A Forster10,11, Sharon Lewis4,5, Stephen Hearps12, Deanne K Thompson1,2,4, and Peter J Anderson1,3

1Victorian Infant Brain Studies (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 2Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 3Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia, 4Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 5Reproductive Epidemiology, Murdoch Children's Research Institute, Melbourne, Australia, 6Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia, 7Sydney Children's Hospitals Network, Westmead, Sydney, Australia, 8Royal Children’s Hospital, Melbourne, Australia, 9Department of Physiotherapy, The University of Melbourne, Melbourne, Australia, 10The Royal Women's Hospital, Melbourne, Australia, 11Judith Lumley Centre, La Trobe University, Melbourne, Australia, 12Brain and Mind, Murdoch Children's Research Institute, Melbourne, Australia

Effects of low-moderate prenatal alcohol exposure (PAE) on brain development have been infrequently studied. In a general antenatal population cohort, we compared brain structure between 6-8-year-old children with no PAE (n=41), PAE during trimester 1 (n=44), and PAE throughout gestation (n=58). Most brain regions did not differ between groups, however the caudal anterior cingulate cortex area, and striato-cortical tract cross-sectional area, were significantly smaller in the group exposed to alcohol throughout gestation relative to the other groups. Overall, low-moderate PAE is not strongly associated with brain structure, except low-moderate PAE throughout gestation is associated with specific brain regional alterations.

3777
Booth 3
Diffusion weighted imaging-Based Radiomic Features of Distincting Low and High Grade of Pediatric Brain Tumors
TING YI1, Qiuhong MA1, QIFANG CAI1, Huiting Zhang2, Weian Wei1, Bing Gao1, and KE JIN1

1Hunan Children's Hospital, Changsha, China, 2Siemens Healthineers, Wuhan, China

This study investigated the feasibility of diffusion weighted imaging (DWI)-Based radiomic features in differential diagnosis of low- and high-grade pediatric brain tumors. The results showed that the DWI and apparent diffusion coefficient (ADC) combined model can effectively distinct low- and high-Grade pediatric brain tumors. This suggests that DWI sequence may facilitate brain tumor grading. 

3778
Booth 4
The application value of T2 weight imaging histogram in assessing the Placenta Accreta
songhong Yue1, jie Li1, fengxian Fan1, haoyuan Li1, xiao Ling1, yupin Bai1, Kai A2, and jing Zhang1

1Lanzhou University second hospital, lanzhou, China, 2Philips Healthcare, Xian, China

Accurate evaluation of placenta accreta before parturition can effectively avoid adverse maternal and infantile outcomes. Based on the T2 weighted imaging (T2WI) histogram, this study analyze the placenta quantitatively. We compared the difference in T2WI histogram parameters between the placenta accreta group (23 patients) and the non-placenta accreta group (27 patients) to evaluate the diagnostic efficacy. Among these parameters, the difference of 10 Percentile, Energy, Entropy, Total Energy, Uniformity was statistically significant (P<0.05). Uniformity and Entropy have the largest area under the curve (AUC). We speculate T2WI based histogram is useful for noninvasive assessment of placental implantation.

3779
Booth 5
Intravoxel Incoherent Motion MR Imaging-based Virtual Elastography for the Assessment of Placenta Accreta
jiaojiao lu1, ting liu1, junjun li1, xianjun li1, and jian yang1

1Department of Radiology, the first Affiliated Hospital of Xi'an Jiaotong University, xi'an, China

Placenta accreta may lead to life-threatening complications and is difficult to distinguish by traditional MRI sequences. In this study, IVIM-based virtual elastography was used for the first time to detect the stiffness of the placenta, and it was found that the virtual (IVIM) stiffness values for the AP-ROIs were mostly higher than those for the NP-ROIs; the IR-ROIs were also significantly higher than the NIR-ROIs. Thus, the implanted regions of the placenta could be significantly stiffer than those of the non-implanted regions. That is helpful for adding a new method for clinical diagnosis of placenta accreta.

3780
Booth 6
Dissecting Brain-wide Olfactory Dysfunctions in Accelerated Aging Rodent Model
Teng Ma1,2,3, Xunda Wang1,2, Linshan Xie1,2, Pit Shan Chong4, Venice Sin1,2, Peng Cao3, Pek-Lan Khong3, Lee Wei Lim4, Alex T. L. Leong1,2, and Ed. X Wu1,2,4

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

The olfactory system plays a pivotal role in driving behavioral responses that are critical to survival. In particular, the decline in ability to detect and discriminate odors in aged humans lead to an overall decrease in quality of life. However, our present understanding of olfactory dysfunction in aging brains beyond the cellular and micro-circuit level is scarce and incomplete. In this study, we deployed optogenetic fMRI to reveal the changes of brain-wide odor-associated regions brought about by aging in an accelerated aging rat model. We found diminished activations brain-wide indicating dysfunction at the systems level across multiple long-range olfactory pathways.

3781
Booth 7
Gray Matter Atrophy and Neurological Deficits in Patients with Carbon Monoxide Poisoning
Yanli Zhang1, Tianhong Wang2, Shuaiwen Wang2, Yuling Gao2, Shaoyu Wang3, Shunlin Guo2, and Junqiang Lei2

1The first hospital of lanzhou university, Lanzhou, China, 2The first hospital of Lanzhou university, Lanzhou, China, 3MR scientific marketing, Siemens Healthineers, Xi an, China

White matter damage in patients with carbon monoxide (CO) poisoning have been extensively reported in previous studies, but neurological deficits-associated gray matter volume (GMV) changes are not well explored. Forty-one CO poisoning patients and 36 healthy controls were enrolled in this study. All subjects underwent 3D T1WI and cognition and motor function assessment. GMV change patterns of patients were explored using Voxel-based morphometry processing. This study would provide a simple neuroimaging biomarker to identify the brain anatomical signatures underlying neurological deficits in CO poisoning, and thus facilitate the ongoing effort of knowing of the neuropathologic mechanism happened in these patients. 

3782
Booth 8
Virtual Stiffness of Gray Matter in Normal Adult Brain Assessed by Virtual Magnetic Resonance Elastography
Chenyue Liu1, Chunxu Da1, Jian Yang1, and Xianjun Li1

1The First Affiliated Hospital of Xi’an Jiaotong University, Shaanxi, Xi'an, China

The mechanical properties of biological tissue provide information related to the strength and integrity of the cellular microstructure. Recently, mechanical properties of the brain have been visualized and measured non-invasively with magnetic resonance elastography (MRE). Virtual MRE (VMRE) is based on non-Gaussian distribution model, which can be regarded as an indicator to reflect the complexity and change of different brain microstructure. The purpose of this study is to explore the capability of diffusion–based VMRE in the characterization of the gray matter shear stiffness, discuss the cause of the differences of gray matter encephalic in normal human brains.

 


3783
Booth 9
Evaluation of Blood Flow and Plaque Vulnerability in Carotid Artery Stenosis Focusing on Morphological and Component Characteristics
Yuki Matsumoto1, Yuki Kanazawa1, Yuki Kinjo2, Masafumi Harada1, Tosiaki Miyati3, Hiroaki Hayashi3, Mitsuharu Miyoshi4, Naoki Maeda2, Yasuhisa Kanematsu5, Yasushi Takagi5, and Akihiro Haga1

1Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan, 2Graduate school of Health Science, Tokushima University, Tokushima, Japan, 3Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan, 4Global MR Applications and Workflow, GE Healthcare Japan, Hino-city, Japan, 5Department of Neurosurgery, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan

Our purpose was to assess plaque vulnerability under the influence of blood flow in terms of morphological and component characteristics using MRI.Twenty-three patients with symptomatic and asymptomatic carotid stenosis, all of whom provided informed consent, underwent 3T MRI scan (GE Healthcare). We evaluated the consistency between the flow patterns and plaque features in the carotid artery stenosis, using 4D-flow MRI and 3D-FSE-MSDE sequences. During the vulnerability analysis, it was observed that there was a negative correlation between 3D-FSE-MSDE and 4D-flow parameter (R = -0.43, P < 0.001). 

3784
Booth 10
Sex-related Changes in GABA+ Signaling in the Right Thalamus in Patients with Knee Osteoarthritis through Acupuncture Stimulation
Nan Gao1, Sheng Hu1,2, Xiaoxiao Wang1, and Bensheng Qiu1

1Hefei National Laboratory for Physical Sciences at the Microscale and Center for Biomedical Engineering, University of Science and Technology of China, Hefei, China, 2School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China

This study aimed to investigate GABA variation between KOA patients and healthy people without therapy and how GABA changes through acupuncture stimulation. MEGA-PRESS sequence was used to detect GABA signaling in the right thalamus before and after acupuncture stimulation on EX-LE5 acupoint of the left leg. Our study demonstrated a sex-related GABA+/Cr difference in patients with KOA chronic pain, proving the quantitative sex differences in human pain processing. Moreover, the therapeutic effect of acupuncture stimulation was positively proved and quantified by measuring GABA+/Cr.


3785
Booth 11
Striatum-thalamus microstructural alterations in levodopa-induced dyskinesia using four advanced diffusion models
Tingting Yuan1, Ying Zhang2, Hongchao Wang1, Yueluan Jiang3, Chenglong Wang4, Chunjie Guo1, Guang Yang4, and Huiting Zhang3

1Department of Radiology, The First Hospital of Jilin University, Changchun, China, 2Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

The major complication of dopaminergic therapy in Parkinson’s disease (PD) is dyskinesia which affects patients' quality of life. The pathogenesis of levodopa-induced dyskinesia (LID) remains unclear. In this study, we aimed to investigate striatum-thalamus alterations in PD patients with and without LID using advanced diffusion magnetic resonance imaging (dMRI) techniques (DTI, DKI, NODDI and MAP).  

3786
Booth 12
Increased Vascular Permeability of 17O-labeled Water in the Amyotrophic Lateral Sclerosis Model Mice using Indirect Proton MRI
Hiroyuki Kameda1,2, Yuji Komaki3, and Kohsuke Kudo4,5

1Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 2Faculty of Dental Medicine, Department of Radiology, Hokkaido University, Sapporo, Japan, 3Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Japan, 4Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan, 5Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Hokkaido University, Sapporo, Japan

 We evaluated the increased vascular permeability of 17O-labeled Water in the amyotrophic lateral sclerosis (ALS) mice using indirect proton MRI. The spinal cord of nine ALS mice and ten wild-type (WT) mice were scanned with 7T MRI with the T2-weighted RARE sequence. In the femoral vein, 17O-labeled water was intravenously injected. In ROIs of the spinal cord, the 17O concentration increased more in ALS mice than in the control mice. This latest method can detect the abnormalities in water kinetics probably caused by the impairments in blood–spinal cord barrier of ALS mice. 

3787
Booth 13
Pseudo-continuous arterial spin labeling reveal altered cerebral hemodynamics and blood-brain barrier dysfunction in CADASIL patients
Jinyuan Zhang1,2,3, Zihao Zhang1,2,3, Chen Ling4,5, Xingfeng Shao6, Zhixin Li1,2,3, Huilou Liang1,2,3, Jing An7, Qi Yang8, Rong Xue1,2,3, Yan Zhuo1,2,3, Zhaoxia Wang4,5, Yun Yuan4,5, and Danny JJ Wang6

1State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2University of Chinese Academy of Sciences, Beijing, China, 3The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China, 4Department of Neurology, Peking University First Hospital, Beijing, China, 5Beijing Key Laboratory of Neurovascular Disease Discovery, Peking University First Hospital, Beijing, China, 6Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 7Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 8Department of Radiology, Chaoyang Hospital, Capital Medical University, Beijing, China

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is an inherited form of cerebral small vessel disease (cSVD). In this study, we investigated the changes of cerebral blood flow (CBF), arterial transit time (ATT) and water exchange rate (kw) measured by multi-delay pseudo-continuous arterial spin labeling (pCASL) and diffusion prepared pCASL. Increased ATT and decreased kw were found in CADASIL patients compared with healthy controls. The results indicated modified cerebral hemodynamics and dysfunction of blood-brain barrier in CADASIL patients. MD-pCASL and DP-pCASL are promising for evaluating hemodynamics and BBB function of cSVD.


3788
Booth 14
3D texture analyses of quantitative susceptibility maps to differentiate patients with Wilson’s disease from healthy controls
Gaiying Li1, Rong Wu2, Yasong Du3, Yang Song4, Yi Wang5, Xiaoping Wang2, and Jianqi Li1

1Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China, 2Department of Neurology, Shanghai Tong-Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States

    Abnormal metal accumulation in deep gray matter (DGM) nuclei of patients with Wilson’s disease (WD) could be detected using quantitative susceptibility mapping (QSM), yet no study has quantitatively evaluated how the textures of susceptibility maps might evolve with WD. The aim of this study was to evaluate texture features extracted from susceptibility maps of DGM nuclei for differentiating WD from healthy controls (HC). The results showed that part of the texture parameters was significantly different between WD and HC, meanwhile the receiver operating characteristic curve revealed that some second-order texture parameters were more suitable and sensitive for diagnosis of WD.

3789
Booth 15
Hyperintense globus pallidus rim sign could be a novel hallmark of Wilson disease at 7T MRI: a pilot case-control study
Su Dongning1,2, Zhang Zhe2,3, Zhang Zhijin1,2, Zhu Wanlin2,3, Sui Binbin2,3, Zhang Yingkui2,3, Bi Jingfeng2,3, Kong Qingle 3,4, Gan Yawen1,2, Yan Rui1,2, Wang Xuemei1,2, Wang Zhan1,2, Wang Yongjun 1,2,3, Wu Tao1,2, Jing Jing1,2,3, and Feng Tao1,2

1Department of Neurology, Beijing Tiantan Hospital,Captital Medical University, Beijing, China, 2China National Clinical Research Center for Neurological Diseases, Beijing, China, 3Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4MR Collaboration, Siemens Healthineers Ltd., Beijing, China

To explore specific neuroimaging characteristics of iron deposition in WD, we conducted a small sample, prospective case-control study to compare the 7T MRI manifestation of iron deposition in the basal ganglia among PD, WD patients and healthy controls. The hyperintense globus pallidus rim sign could be a specific neuroimaging characteristic of WD in 7T T2*-weighted and SWI images, which may be related to the unique iron deposition pattern in the striatum in WD patients. Internal capsule appears to be hyperintensity with a clear border only observed in WD patients. These findings have the potential to provide diagnostic biomarkers for WD.

3790
Booth 16
Sex-dependent Pathological Aging Effect on Caudate Functional Connectivity in Mild Cognitive Impairment
Zhengshi Yang1,2, Jessica Z.K. Caldwell1, Jeffrey L Cummings2, Aaron Ritter1, Jefferson W Kinney2, and Dietmar Cordes1,2,3

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Nevada Las Vegas, Las Vegas, NV, United States, 3University of Colorado, Boulder, CO, United States

Resting-state fMRI was used to investigate the aging effect on caudate function in mild cognitively impaired participants, with the focus of sex-dependent effect. Graph theory analysis was conducted to derive caudate nodal strength, which was then input to linear mixed effect model to evaluate its association with age. A striking aging effect was observed only in women with MCI but not in men with MCI, which was closely related to cognitive decline in woman participants. This finding suggests that caudate may be critical for alleviating cognitive decline in women with MCI.  


Ocular & Neurological Disorders

Gather.town Space: North East
Room: 5
Tuesday 14:30 - 16:30
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

3886
Booth 1
Brain cortical changes are related to SARS-CoV-2 inflammatory biomarkers in hospitalized patients with neurological manifestations
Gretel Sanabria-Diaz1, Manina Maja Etter 2,3, Lester Melie-Garcia1,4, Johanna Maria Lieb5, Marios-Nikos Psychogios5, Gregor Hutter2,3, and Cristina Granziera1,4

1Department of Medicine and Biomedical Engineering, Translational Imaging in Neurology (ThINK), University Hospital Basel and University of Basel, Basel, Switzerland, 2Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland, 3Division of Neurosurgery, University Hospital Basel, Basel, Switzerland, 4Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 5Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland

A quantitative imaging study is critical to detect cortical brain macrostructural alterations associated with an inflammatory response in hospitalized SARS-CoV-2 patients.  Using automated processing of the 3D high-resolution T1-weighted anatomical images, we found a decrease of cortical gray matter volume and thickness, but not in the surface area related to increased levels in CSF protein, CSF blood/albumin ratio, and CSF EN-RAGE. The anatomical localization of these regions may be the in vivo hallmarks of the virus effect on the brain cortex due to a hyperinflammatory response and associated with neurological deficits presented in acute and post-Covid phases.

3887
Booth 2
A fixel-based analysis of white matter alterations in patients with acute mild traumatic brain injury
Li Jiang1,2, Jiachen Zhuo1,2, Steven Roys1,2, Rosy Linda Njonkou Tchoquessi1,2, and Rao Gullapalli1,2

1Center for Advanced Imaging Research, University of Maryland Baltimore, Baltimore, MD, United States, 2Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD, United States

Mild traumatic brain injury (mTBI) accounts for the majority of head injuries and is often associated with physical, cognitive, and effective deficits. We used fixel-based analysis (FBA) to investigate the white matter (WM) structural alterations in acute mTBI patients. Three fixel-based metrics were used: fibre density (FD), fibre-bundle cross-section area (FC) and a combination of FD and FC (FDC). We found out that mTBI patients demonstrated reduced FC and FDC in multiple WM tracts and it may suggest that FBA can be used to detect subtle WM changes following mild injuries. 

3888
Booth 3
Genetic susceptibility to myelin and axonal injury as measured by myelin water imaging and multi-shell diffusion in multiple sclerosis
Reza Rahmanzadeh1,2, Stefan Herms3, Bettina Burger3, Po-Jui Lu1,2, Muhamed Barakovic1,2, Matthias Weigel1,2, Thanh D. Nguyen4, Yi Wang4, Francesco La Rosa 5,6, Meritxell Bach Cuadra 5,6, Ernst-Wilhelm Radue1, Jens Kuhle2, Ludwig Kappos2, Sven Cichon3,7, and Cristina Granziera1,2

1Translational Imaging in Neurology Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Neurologic Clinic and Policlinic, Switzerland, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 3Human Genomics Research Group, Department of Biomedicine, University Hospital and University of Basel, Basel, Switzerland, 4Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 5Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6Radiology Department, Center for Biomedical Imaging (CIBM), Lausanne University and University Hospital, Lausanne, Switzerland, 7Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland

Despite several large-scale genome-wide association studies (GWAS) have been performed in MS, to date no study explored the relationship between genetic risk factors for MS and the extent of myelin and axon damage in the brain of MS patients, as measured by advanced MRI techniques. Our results identify novel genetic loci that might be associated with myelin and axonal pathology in MS Patients.

3889
Booth 4
High-spatial resolution mapping of microvascular permeability-surface area product using dual temporal resolution DCE-MRI techniques
Ka-Loh Li1, Daniel Lewis2, Xiaoping Zhu1, Alan Jackson1, and Timothy Cootes1

1Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom, 2Department of Neurosurgery, Salford Royal NHS Foundation Trust,, Manchester, United Kingdom

A limitation of the extended Tofts model (ETM) is that estimates of Ktrans, transfer constant, reflect both capillary plasma flow (Fp) and the capillary permeability-surface area product (PS). Other DCE-MRI models can separate out these physiological effects, but such models mandate high-temporal resolution data, compromising spatial resolution and volume coverage. In this in vivo brain tumor study, we demonstrate that incorporating the ETM and an early-timepoints absolute CBF (ET-CBF) method with a dual-temporal resolution, DCE-MRI approach, termed LEGATOS, permits generation of high-spatial resolution maps of Ktrans, Fp and PS, allowing high-spatial resolution interrogation of flow and permeability effects. 


3890
Booth 5
Longitudinal Assessment of Tumor Perfusion in Glioblastoma using Arterial Spin Labeled MRI: Preliminary Findings
Yiming Wang1, Marco C. Pinho1,2, Limin Zhou1, Michael N. Youssef3,4, Joseph A. Maldjian1,2, and Ananth J. Madhuranthakam1,2

1Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 3Department of Neurology, UT Southwestern Medical Center, Dallas, TX, United States, 4Harold C. Simmons Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States

In Glioblastoma (GBM) patients undergoing chemoradiation, decreased tumor perfusion can be observed in treatment-responding patients and earlier than changes in tumor volume measured by conventional MRI. Such perfusion changes can be measured by non-contrast Arterial Spin Labeled (ASL) MRI, which is particularly suitable for longitudinal assessment of tumor perfusion. In this study, we performed longitudinal perfusion measurements using ASL MRI in patients with glioblastoma undergoing chemoradiation. Progressive perfusion reduction was observed in a representative patient's enhancing tumor ROIs along with increased ADC values, indicating reduced tumor cellularity, which likely results from treatment responses.

3891
Booth 6
3D MRI versus conventional ultrasound tumour measurements for treatment planning of eye tumours
L. Klaassen1,2,3, M.G. Jaarsma-Coes1,2, T.A. Ferreira2, T.H.K. Vu1, M. Marinkovic1, G.P.M. Luyten1, C.R.N. Rasch3, and J.W.M. Beenakker1,2,3

1Ophthalmology, Leiden University Medical Center, Leiden, Netherlands, 2Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands

The aim of this study was to compare ultrasound and MRI dimension measurements for eye tumours and to determine the most suitable measurement modality. MRI and ultrasound yield similar prominence measurements (median absolute difference 0.3 mm) when tumour extent is visible on both modalities. However, in anteriorly located tumours, MRI measurements are more accurate, and using US for these tumours might lead to an underestimation of tumour diameter. MRI provided insight in 3D tumour geometry, even when tumour extent was difficult to visualize on US, enabling more accurate therapy planning and selection for uveal melanoma patients.

3892
Booth 7
Inter-observer variability in MR-based target volume delineation of uveal melanoma
L. Klaassen1,2,3, M.G. Jaarsma-Coes1,2, B.M. Verbist2, T.H.K. Vu1, Y.L.B. Klaver3,4, M.F. Rodrigues3,4, T.A. Ferreira2, C. Nabarro2, G.P.M. Luyten1, C.R.N. Rasch3,4, M. van Herk5, and J.W.M. Beenakker1,2,3

1Ophthalmology, Leiden University Medical Center, Leiden, Netherlands, 2Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands, 4Radiation Oncology, HollandPTC, Delft, Netherlands, 5Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom

The aim of this study was to assess the inter-observer variation in gross target volume (GTV) delineation of uveal melanoma on MRI. Six observers delineated the GTV in ten different patients on T2-weighted and contrast-enhanced T1-weighted scans. The average interobserver variation appeared slightly higher on T1gd (0.41 mm) compared to T2 (0.35 mm), although the difference was not significant (p=0.12). We recommend to delineate based on the T1gd-weighted scans, as parts of the tumour might be missed on T2.

3893
Booth 8
Neural excitability through BOLD variability in the preterm brain: A longitudinal resting-state fMRI study
Serafeim Loukas1,2, Joana Sa de Almeida1, Djalel Eddine Meskaldji1,3, Dimitri Van De Ville2,4, and Petra Susan Hüppi1

1Division of Development and Growth, Department of Pediatrics, University of Geneva, Geneva, Switzerland, 2Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Institute of Mathematics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland

Resting-state functional connectivity based on simultaneous BOLD oscillations has been described both in preterm infants and fullterm newborns. During this period of rapid cerebral cortex development, different brain activity patterns (networks) have been previously described. Regional changes in spontaneous BOLD signal variability on the other hand reflect local intravoxel BOLD changes related to neural excitability/flexibility. In the present study, we aimed to explore the longitudinal evolution of the BOLD variability between birth and term-equivalent-age (TEA), a period of rapid brain development, in preterm-born infants. Our findings suggest increased variability at TEA as compared to birth in important primary cortices.

3894
Booth 9
Diffusion tensor imaging quantification of white matter tracts in internal capsule and corpus callosum of type II GM1 gangliosidosis patients
Mohammed Salman Shazeeb1, Zeynep Vardar1, Ahmet Peker1, Anna Kuhn1, Jean Johnston2, Precilla D'Souza2, Maria T. Acosta2, and Cynthia J. Tifft2

1University of Massachusetts Medical School, Worcester, MA, United States, 2National Institutes of Health, Bethesda, MD, United States

GM1-gangliosidosis is a rare heritable lysosomal storage disorder caused by accumulation of GM1-ganglioside due to deficiency of the lysosomal enzyme b-galactosidase required for sphingolipid degradation. Progressive accumulation of GM1-ganglioside in the central nervous system induces hypomyelination that results in progressive neurodegeneration. This study used quantitative diffusion tensor imaging (DTI) in 20 type II GM1 patients to assess white matter tract changes in the internal capsule and corpus callosum of juvenile and late infantile patients. Several DTI parameters showed significant differences between the patient groups and compared to healthy subjects that may be important to track the progression of the disease.

3895
Booth 10
Phase-Sweep Method and Fitting Analysis in Slow CSF Shunt Flow Measurement with PS-FENSI
Mingxiao Zhang1, Aaron Anderson2,3, Paul Arnold3, Jason Huston3, William C. Olivero2, and Bradley P. Sutton1,2

1Department of Bioengineering, University of Illinois, Urbana, IL, United States, 2Beckman Institute, Urbana, IL, United States, 3Carle Foundation Hospital, Urbana, IL, United States

Pediatric patients with hydrocephalus rely on ventriculo-peritoneal shunts to drain cerebrospinal fluid (CSF) from the brain. Quick, safe detection of shunt failure is crucial to preventing neurologic injury. Previously, a non-invasive MRI-based monitoring technique, Shunt Flow Enhancement of Signal Intensity (Shunt-FENSI), was proposed for accurate and quantitative CSF flow measurement in the slow flowing shunt. We are introducing a more advanced version, Phase-Sweep FENSI (PS-FENSI) to deal with magnetic field inhomogeneity which can cause changes to the tag effectiveness. This new method is accompanied by new fitting methods to more reliably measure FENSI signals. 

3896
Booth 11
Dynamic contrast-enhanced MRI reveals decreased pulmonary perfusion in COVID-19 Survivors
Iris Y. Zhou1,2, Michael C. Magaletta1, Molly Mascia2,3, George A. Alba2,3, Peter Caravan1,2, and Sydney B. Montesi2,3

1Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States

Coronavirus disease 2019 (COVID-19) has been shown to cause pathologic aberrancies in the vascular endothelium. We performed dynamic contrast-enhanced (DCE) MRI on participants with prior COVID-19 to assess differences in pulmonary microvascular perfusion compared with healthy volunteers. Significantly reduced peak enhancement, slower rate of contrast arrival, and longer mean transit time were found in COVID-19 survivors compared to healthy controls, indicating reduced microvascular perfusion months after initial SARS-CoV-2 infection. The DCE MRI readouts can potentially be used as quantitative imaging biomarkers of pulmonary vascular change and may provide important insights into COVID-19 microvascular pathobiology and outcome.

3897
Booth 12
Subcutaneous adipose tissue water fraction increases with weight loss in persons with obesity
Jessie Han1, Mingming Wu1, Selina Rupp1, Daniela Junker1, Anna Reik2, Meike Wiechert2, Hans Hauner2,3, Marcus R. Makowski1, Christina Holzapfel2, Stefan Ruschke1, and Dimitrios C. Karampinos1

1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany, 3Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany

Subcutaneous adipose tissue (SAT) dysfunction is key in defining high-risk individuals in obesity. A change in adipose tissue water fraction with weight loss may reflect improvement in blood flow or changes in microstructure of adipose tissue. Single-voxel STEAM Magnetic Resonance Spectroscopy (MRS) and chemical shift encoded-based water-fat separation are non-invasive methods to assess the water fraction and proton density fat fraction (PDFF) of adipose tissue. The present work aims to investigate the feasibility of MRS and water-fat separation to quantify PDFF and evaluate the changes in SAT water fraction in persons with obesity undergoing an 8-week weight loss intervention.


Pediatrics: Miscellaneous

Gather.town Space: South East
Room: 4
Tuesday 16:45 - 18:45
Clinical & Preclinical
Module : Module 28: Pediatrics, Normal Development & Aging

4022
Booth 1
Quantifying Infant Lean Body Mass using Free-Breathing 3D Stack-of-Radial MRI
Hannah Parish1, Shu-Fu Shih2,3, Shahnaz Ghahremani3, Sevgi Gokce Kafali2,3, Kara Calkins4, and Holden Wu2,3

1David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 3Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 4Department of Pediatrics, University of California Los Angeles, Los Angeles, CA, United States

Lean body mass (LBM) is an important measure of metabolic ability. Decreased LBM during infancy may be associated with impaired growth and increased risk for future metabolic disease. This study measured skeletal muscle area as a surrogate for LBM in infants using free-breathing MRI. Psoas and paraspinal muscle areas were measured in 14 infants at the L4-L5 intervertebral disc level. Cross-sectional area of the thigh muscles was measured at the right midthigh in 8 infants. Infants with higher birth weights and those born large for gestational age had larger muscle areas than infants born lighter and/or small for gestational age.


4023
Booth 2
Clinical Evaluation of a Lightweight, Flexible Pediatric RF Coil
Ricardo Flores1, Fei Tan1, Michael Ohliger1, and Peder Larson1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

In this abstract, we conducted a clinical evaluation of a prototype lightweight, flexible pediatric RF Coil. We evaluated the image quality on phantoms, an adult volunteer, and four pediatric clinical patients. For the phantom scans, identical 2D GRE protocols were prescribed between arrays and scanners for study reproducibility and accurate image comparisons. For the pediatric clinical patients, different anatomical studies were clinically ordered. Each study was reviewed clinically and found to achieve diagnostic quality with excellent tissue contrast, coverage, and SNR. 

4024
Booth 3
Detecting schizophrenia using structural and synthetic cerebral blood volume MRI with deep learning
Junhao Zhang1, Nicolas Acosta1, Vishwanatha Mitnala Rao1, Pin-Yu Lee1, Sabrina Gjerswold-Selleck1, Zihan Wan1, Xinyang Feng1, Jeffrey A. Lieberman2, Scott A. Small3, and Jia Guo2

1Department of Biomedical Engineering, Columbia University, New York, NY, United States, 2Department of Psychiatry, Columbia University, New York, NY, United States, 3Department of Neurology, Columbia University, New York, NY, United States


4025
Booth 4
Differentiation of Pediatric Brain Tumor Grades Using High b-Value Diffusion MRI with a Varying Diffusion Curvature Model
Jay Fu1, William Hou2, Muge Karaman3,4, and Xiaohong Joe Zhou3,4,5

1Watchung Hills Regional High School, Warren, NJ, United States, 2Montgomery High School, Skillman, NJ, United States, 3Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Imaging-based determination of tumor grade is highly desirable, particularly for pediatric brain tumors where surgical biopsy carries considerable risks. We have applied a novel diffusion model – varying diffusion curvature (VDC) model, with two b-value ranges (0-2000 sec/mm2 and 0-4000 sec/mm2), to differentiate between low- and high-grade pediatric brain tumors on 70 patients. Our results showed that the combination of the VDC parameters substantially outperformed the ADC for differentiating low- from -high grade pediatric brain tumors. Increasing the maximal b-value from 2000 to 4000 sec/mm2 did not noticeably improve the performance.

4026
Booth 5
Disrupted structural-functional coupling in children with prenatal alcohol exposure
Xiaoyun Liang1,2, Chun-Hung Yeh3,4, and Peter J. Anderson1,5

1Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 2Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia, 3Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan, 4Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 5Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia

In this study, we investigated whether prenatal alcohol exposure (PAE) disrupts the coupling strength between SC and static FC or dynamic FC using multimodal connectomes. Greater coupling strengths were identified in the PAE T1 and PAE T1-T3 groups within males, indicative of brain structural and functional changes in children with PAE. Distinct age effects on coupling strength were also revealed. Further, the reduction of assortative coefficients indicated that PAE could compromise the robustness of brain networks. These findings suggest that multimodal connectomes, especially integrating network dynamics, could be advantageous to revealing brain structural and functional changes.

4027
Booth 6
Combined structural and functional connectivity changes in Fabry disease
Ilaria Gabusi1,2, Giuseppe Pontillo2,3, Simona Schiavi1,4, Sara Bosticardo1,5, Maria Petracca6, Matteo Battocchio1,7, Antonio Pisani8, Arturo Brunetti2, Alessandro Daducci1, and Sirio Cocozza2

1Department of Computer Science, University of Verona, Verona, Italy, 2Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy, 3Department of Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy, 4Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy, 5Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 6Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy, 7University of Sherbrooke, Sherbrooke, QC, Canada, 8Department of Public Health, University of Naples "Federico II", Naples, Italy

Central nervous system involvement in Fabry disease (FD) patients is known, but the effects on brain connectivity have never been explored at macro-scale level. Here, we investigate both structural (SC) and functional connectivity (FC) by analyzing diffusion and resting-state functional MRI. We applied a graph theory approach to compare connectomes of patients and controls and we explored how altered global network metrics are related to patients’ outcome in neuropsychological tests. Our results show that FD patients present a loss of axonal integrity which leads to a widespread reorganization of brain structural and functional architecture, related to their clinical performances.

4028
Booth 7
Pancreatic PDFF in persons with obesity: change during weight loss and correlations with adipose tissue PDFF
Daniela Junker1, Selina Rupp1, Jessie Han1, Mingming Wu1, Anna Reik2, Meike Wiechert2, Hans Hauner2,3, Marcus M. Makowski1, Christina Holzapfel2, and Dimitrios C. Karampinos1

1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany, 3Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany

Risk stratification strategies in patients with metabolic diseases are urgently needed for the selection of appropriate lifestyle interventions. Pancreatic fat content has been shown to be associated with the metabolic syndrome and type 2 diabetes mellitus. MRI-based proton density fat fraction (PDFF) mapping based on a multi-echo gradient echo acquisition is the method of choice for non-invasive pancreatic fat quantification. This study evaluates how the PDFF of the pancreas correlates to adipose tissue PDFF and evolves after an 8-week weight loss intervention.


Pediatrics, Normal Development & Aging II

Gather.town Space: South East
Room: 3
Tuesday 16:45 - 18:45
Clinical & Preclinical
Module : Module 28: Pediatrics, Normal Development & Aging

4029
Booth 1
Sex-differences in resting-state brain activity in children with concussion in comparison to matched healthy controls.
Bhanu Sharma1,2,3, Carol DeMatteo4,5, Michael D Noseworthy1,3,6,7, and Brian W Timmons2,5

1Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 2Child Health and Exercise Medicine Program, Department of Pediatrics, McMaster University, Hamilton, ON, Canada, 3Imaging Research Centre, St. Joseph's Healthcare, Hamilton, ON, Canada, 4School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada, 5CanChild Centre for Childhood Disability Research, McMaster University, Hamilton, ON, Canada, 6School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 7Department of Radiology, McMaster University, Hamilton, ON, Canada

There are known sex-differences with respect to the clinical presentation of pediatric concussion, with girls reporting more symptoms and symptoms with greater severity than boys. This is the first study to show that there are also sex-differences in resting state brain activity in children with concussion, suggesting that the sex-specific clinical presentation may have neurological underpinnings. Specifically, girls with concussion had resting state disturbances that were not present in boys, which is consistent with the variable symptom presentation of the injury. Continued research into these resting state differences is encouraged.

4030
Booth 2
Deep Learning Model for Automatic Fetal Brain Landmark Localization in MRI
Jie Deng1,2, Xuchu Liu2, Jubril O Adepoju2, and Sharon E Byrd2

1Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States, 2Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, United States

Fetal MRI provides great anatomic details for diagnosis of perinatal disorders when ultrasound is inconclusive in assessing fetal anatomy during all phases of gestation. Immediate interventions can be attempted when abnormal anatomic changes of fetal brain structures are identified early during gestation. Size measurements of a fetal brain structure can be realized by identifying several landmarks of the structure accurately and calculating the distance between the landmarks. We developed a deep learning model that exploits U-net as a ‘transforming’ function to learn imaging features adjacent to a landmark point and predict the landmark location automatically.

4031
Booth 3
Mapping Brain Development in Infants and Young Children Using MPnRAGE T1 Relaxometry
Douglas Dean1,2,3, Leela Shah3, Marissa DiPiero3,4, Colleen Pletcher3, Lauren Heinrich3, Elizabeth Planalp3, Andrew Alexander2,3,5, and Steven Kecskemeti3

1Pediatrics, University of Wisconsin–Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin–Madison, Madison, WI, United States, 3Waisman Center, University of Wisconsin–Madison, Madison, WI, United States, 4Neuroscience Training Program, University of Wisconsin–Madison, Madison, WI, United States, 5Psychiatry, University of Wisconsin–Madison, Madison, WI, United States

Quantitative magnetic resonance imaging during the first years of life can provide novel insights into brain maturation, yet acquisition of these data are limited by challenges in imaging pediatric populations. Here, we assessed the self-navigated, motion robust MPnRAGE technique to acquire high-resolution T1-weighted structural brain images and quantitative T1 relaxometry maps in infants and young children. Our results demonstrate the ability to utilize MPnRAGE as a robust quantitative technique to assess early brain development.

4032
Booth 4
Regional Brain Volumes, Cortical Thickness, Folding and Sulcal Depth in Perinatally HIV-Infected Youths
Ajin Joy1, Manoj K Sarma1, Jhelum Paul1, Andres Saucedo1, Paul M Macey2, Dieter J Meyerhoff3, Ebrahim Haroon4, Margaret A Keller5, and M Albert Thomas1

1Radiological Sciences, University of California-Los Angeles, Los Angeles, CA, United States, 2School of Nursing and Brain Research Institute, University of California-Los Angeles, Los Angeles, CA, United States, 3Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, CA, United States, 4Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States, 5Pediatrics, The Lundquist Institute, Harbor-UCLA Medical Center, Torrance, CA, United States

The human immunodeficiency virus (HIV) can affect the morphometry of the developing brain of perinatally HIV (PHIV)-infected youths. Surface-based morphometric analysis can reveal if local effects on gray and white matter volumes is significant in the regions with alterations in cortical thickness (CT), gyrification index (GI), or sulcal depth (SD). So, we compared these morphometric parameters of 19 PHIV-youths on combination antiretroviral therapy with those in 26 uninfected healthy controls. PHIV-youths had altered gray and white matter regional volume, CT, GI, and SD, partly in overlapping regions. The findings survived multiple comparisons using both false discovery rate and Holm-Bonferroni corrections.

4033
Booth 5
Novel persistent tumor index to predict survival in pediatric high-grade gliomas treated with immunovirotherapy
Asim K Bag1, Joseph Holtrop1, Silu Zhang1, Matthew A Scoggins1, Yimei Li2, Tushar Patni2, Richard J Whitley3, G Yancey Gillespie4, James M Markert4, John B Fiveash5, Rong Li6, Joshua D Bernstock7,8,9, James Johnston4, and Gregory K Friedman3,4

1Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States, 3Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, United States, 4Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States, 5Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, United States, 6Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States, 7Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States, 8Department of Neurosurgery, Boston Children's Hospital, Boston, MA, United States, 9Department of Neurosurgery, Harvard Medical School, Boston, MA, United States

Early indicators of the response to imunovirotherapy are currently limited due to the novelty of the therapies and unpredictability of responses. We propose using the persistent tumor index (PTI) derived from diffusion and perfusion MRI as a predictor of treatment response. In 10 high grade glioma patients treated with imunovirotherapy, only the baseline PTI measure was associated with progression free survival whereas other known imaging biomarkers of survival were not.

4034
Booth 6
Phase-Contrast MRI for Quantifying Cerebrospinal Flow in Patients with Shunted Hydrocephalus
Joseph Ha1, Eamon K Doyle, PhD2,3,4, Matthew T. Borzage, PhD3,5, and Peter A Chiarelli, MD, DPhil1,3,4

1Division of Neurosurgery, Children's Hospital of Los Angeles, Los Angeles, CA, United States, 2Radiology, Children's Hospital of Los Angeles, Los Angeles, CA, United States, 3Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4Shared last author, Los Angeles, CA, United States, 5Fetal and Neonatal Institute, Division of Neonatology, Department of Pediatrics, Children's Hospital of Los Angeles, Los Angeles, CA, United States

We investigate a new approach to assess ventricular shunt function using phase-contrast magnetic resonance imaging (PC MRI). A flow phantom was constructed to assess CSF flows between 0-24 ml/hour. The PC MRI sequence showed strong flow correlation (R2 = .9671) even for flow velocities below 1 cm/s. The lowest non-zero CSF flow we measured was 1 ml/hour (0.02 cm/s), 67% lower than previously reported shunt flow measurements. The sequence was tested in a human subject after phantom calibration. With a 96 second duration, PC SHUNT shows promise as a practical means for determining shunt failure clinically.

4035
Booth 7
Brain Iron Deposition in Healthy Aging and association with Alzheimer’s Disease Pathology Revealed by Quantitative Susceptibility Mapping
Qixiang Lin1, Junjie Wu2, Shuai Huang2, Aditya Bisht1, Allan Levey1,3, James Lah1,3, and Deqiang Qiu2,3,4

1Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, GA, United States, 3Goizueta Alzheimer’s Disease Research Center, Emory University, Atlanta, GA, United States, 4Joint Department of BioMedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

This study aims to evaluate brain iron depositions in healthy aging and asymptomatic Alzheimer’s Disease using Quantitative Susceptibility Mapping (QSM) MR technique. 3D-GRE scans were performed in 146 healthy old and 58 healthy young participants. Whole-brain voxel-wise analysis showed increased susceptibility value in bilateral basal ganglia and widespread cortical regions. Significant correlations were found between CSF biomarkers of AD and susceptibility value in the caudate and left orbital frontal area. Together these results suggest microstructural alterations associated with healthy aging and AD-related CSF biomarkers. QSM measurements might provide sensitive neuroimaging biomarkers for iron deposition during normal aging and neurodegeneration diseases.

4036
Booth 8
Gender-specific age-related changes in glymphatic function as measured by resting-state fMRI
Feng Han1, Yifan Yang1, and Xiao Liu1

1the Pennsylvania State University, State College, PA, United States

The glymphatic system responsible for brain waste clearance may play an important role in aging and dementias. However, a lack of non-invasive tools for gauging glymphatic function in human subjects hindered the research on the age-related glymphatic changes. The global component of low-frequency (<0.1 Hz) resting-state fMRI signals was recently found coupled with CSF flow, and their coupling was used for quantifying the glymphatic function and found reduced significantly in neurodegenerative patients. Here we used the gBOLD-CSF coupling to evaluate glymphatic function change along healthy aging, and found it starts to decrease around age 55, particularly in females.

4037
Booth 9
Limbic Predominant Age-related TDP-43 Encephalopathy Neuropathological Change (LATE-NC) is Associated with Lower Diffusion Anisotropy
Mahir Tazwar1, Arnold M. Evia2, Ashish A. Tamhane2, Abdur Raquib Ridwan1, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States

The MRI signature of limbic predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) has not been fully determined. In this work, we investigated the association of diffusion anisotropy with LATE-NC in autopsied brains of community-based older adults (N=148). Voxel-wise analysis revealed an independent association of lower fractional anisotropy (FA) with greater LATE-NC burden in medial temporal lobe white matter, controlling for other neuropathologies. The white matter connections implicated include fibers connecting cortical and subcortical regions where LATE-NC is typically found. Comparison of FA values across LATE-NC stages revealed that FA may allow detection of LATE-NC in later stages of the disease.

4038
Booth 10
Diffusion MRI in a transgenic mouse model of Alzheimer's disease
Surendra Maharjan1, Kaitlyn Marie Dybing1, and Nian Wang1

1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States

Alzheimer’s disease (AD) is common neurodegenerative dementia. Though the disease has no cure, early intervention can help to maintain normal mental function and slow down the progression of the disease. Brain imaging, especially Magnetic Resonance Imaging (MRI) has been extensively used to characterize the location and progression of the disease. Diffusion MRI is a novel imaging technique that exploits the microscopic mobility of water molecules. However, a comprehensive study incorporating high-resolution diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and Neurite Orientation Dispersion and Density Imaging (NODDI) is still lacking. So, we aim to apply DTI, DKI and NODDI.

4039
Booth 11
Is the tremor relief in Parkinson’s disease ancillary benefits during the ablation of thalamic Vim using MR guided focused ultrasound (MRgFUS)?
Hongchae Baek1,2, Sean Nagel2, Daniel Lockwood1, Emmanuel C. Obusez1, and Stephen E. Jones1

1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Center for Neurological Restoration, Cleveland Clinic, Cleveland, OH, United States

Essential tremor (ET) and tremor dominant Parkinson’s disease (PD) treatment using MRgFUS share the same therapeutic target and the thermal dose threshold to create a thalamic lesion at ViM. However, PD patients respond to treatment typically only during the last few sonications, whereas ET patients respond earlier, typically within the first few sonications. Furthermore, we confirmed that zona incerta (ZI) is commonly affected due to proximity to ViM, by using postoperative T2-weighted images fused with auto-segmented ViM and ZI, demonstrating a possible causal relationship between the lesion overlap with ZI that primarily reduces tremor reduction in PD patients.


4040
Booth 12
Non-Gaussian Brain Diffusion Cross-sectional and Longitudinal Changes in Type 2 Diabetes Mellitus Adults
Bhaswati Roy1, Daisy Mercado2, Matthew J Freeby3, Sarah Choi2, and Rajesh Kumar1,4,5,6

1Anesthesiology, University of California Los Angeles, Los Angeles, CA, United States, 2UCLA School of Nursing, Los Angeles, CA, United States, 3Medicine, University of California Los Angeles, Los Angeles, CA, United States, 4Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 5Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 6Brain Research Institute, University of California Los Angeles, Los Angeles, CA, United States

Patients with Type 2 diabetes mellitus (T2DM) show brain changes in mood and cognitive control sites, functions that are deficient in the condition, examined by Gaussian diffusion-based diffusion tensor imaging (DTI). However, the majority of brain areas with complex fibers, follow non-Gaussian diffusion, and DTI-based measures may not show adequate diffusion changes. We examined brain changes at baseline and 6 months in T2DM patients using the diffusion kurtosis imaging-based mean kurtosis procedures and showed wide-spread acute and chronic tissue changes in the condition, with continued progression after 6 months in areas involved in mood and cognitive regulatory functions.

4041
Booth 13
Preliminary Evaluation of Risperidone in Huntington’s Disease: An Intravoxel Incoherent Motion (IVIM) Study
Alan Finkelstein1, Md Nasir Uddin2, Jianhui Zhong1,3,4, Ruth Schneider2, and Giovanni Schifitto2,3

1Biomedical Engineering, University of Rochester, Rochester, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States, 4Physics and Astronomy, University of Rochester, Rochester, NY, United States

Huntington’s disease (HD) is a neurodegenerative movement disorder that negatively impacts quality of life. Atypical antipsychotics are used for treatment, though with limited evidence from controlled trials. In this preliminary study we investigated the effects of risperidone, an atypical antipsychotic for the treatment of chorea in HD using intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and volumetric analysis. Preliminary findings suggest that early effects of risperidone may present as changes in the microcirculation within the basal ganglia prior to any anatomical changes. However, further evaluation in a larger sample size is needed to better assess the clinical response to risperidone.

4042
Booth 14
MR Elastography: Clinical Protocol Optimization for Liver Stiffness Estimation
Manjunathan Nanjappa1, Brian Raterman1, Bradley D. Bolster, Jr2, Kannengiesser Stephan3, Ning Jin2, and Arunark Kolipaka1

1Department of Radiology, The Ohio State University, Columbus, OH, United States, 2MR Collaborations, Siemens Medical Solutions USA, Malvern, PA, United States, 3Siemens Healthineers, Erlangen, Germany

Magnetic resonance elastography (MRE) has become a standard clinical tool to stage liver fibrosis and it is important to optimize the imaging protocols to achieve robust stiffness measurement. Imaging was performed using a 3T MRI scanner on 20 healthy adult volunteers with varied driver powers and acquisition parameters. The stiffness value at 60Hz across the settings was found to be stable for all the subjects. 40-50% driver power with 20-35mT motion encoding gradient amplitude would deliver adequate shear waves to achieve diagnostic quality of liver stiffness maps.

4043
Booth 15
Evaluation of the Effects of Capsinoids on Brown Adipose Tissue Recruitment and Activation in Obesity Using PET/MRI
Jie Deng1, Lisa M Neff2, and Bin Zhang3

1Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States, 2Chicago, IL, United States, 3Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

In this randomized, placebo-controlled trial in subjects with obesity, we implemented multi-parametric MRI including fat fraction (FF), R2*, and T1 values on PET-MRI in both thermoneutral and cold-activated non-shivering thermogenesis conditions to investigate whether brown adipose tissue property changes measured by MRI can reflect its activation secondary to cold-activated stimulation and chronic capsinoids ingestion before and after weight loss. In subjects taking capsinoids, FF decreased and R2* increased significantly after weight loss as compared with baseline, and these changes were significantly larger than the changes seen after weight loss in the group taking placebo.


Multiparametric MR: Breast Cancer

Gather.town Space: North West
Room: 3
Wednesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 20: Cancer

4263
Booth 1
Can combined DWI, IVIM and DKI better differentiate malignant from benign breast lesions with TIC type II?
Wang Hongjie1, Wang Weiwei2, Dou Weiqiang3, Lv Siqiang1, Zhu Laimin2, Chen Yueqin2, and Sun Zhanguo2

1Clinical Medical College of Jining Medical University, Jining, China, 2Department of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, China, 3MR Research China, GE Healthcare, Beijing, China

Accurate preoperative prediction of benign and malignant breast lesions is essential in clinical practice. Currently, the diagnostic specificity of DCE-MRI is relatively low for breast lesions with time-intensity-curve (TIC) type-II. Different diffusion-weighted models, including mono-exponential diffusion-weighted imaging (DWI), intravoxel-incoherent-motion diffusion-weighted imaging (IVIM) and diffusion kurtosis imaging (DKI), have been previously reported effective in the differential diagnosis of overall breast lesions. In this study, we found that, compared with DWI alone, combined DWI, IVIM and DKI can better differentiate malignant from benign breast TIC type-II lesions, with IVIM parameter of D and DKI parameter of MK as demonstrated independent influencing factors.


4264
Booth 2
stratification of axillary lymph node metastasis burden with standard breast MRI in breast cancer
Jieying Chen1, Xiaolian Su1, Tingting Xu1, Qifeng Luo2, Jilei Zhang3, Lin Zhang1, and Guangyu Tang1

1Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China, 2Department of General Surgery, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China, 3Philips Healthcare, Shanghai, China

Assessment of axillary lymph node metastasis burden before surgery in breast cancer patients is warranted for axillary management. This study developed a simple model based on the standard breast MRI features of breast tumor and axillary lymph node to differentiate patients with no, low or heavy axillary metastasis burden. With the help of this model, patients and clinicians would make more rational decision when to choose omitting surgery, sentinel lymph node biopsy or axillary lymph node dissection for axilla management.


4265
Booth 3
A risk stratification scoring system for predicting axillary lymph node metastasis in breast cancer using multiparametric MRI
Xiaofeng Chen1, Jiada Yang1, Nina Fan1, Zhiqi Yang1, Ruibin Huang2, Yue Li1, Cuixia Wan1, Junhao Gong1, Yuting Liao3, Guijin Li4, Mengzhu Wang5, Fengyan Cheng1, Xiangguang Chen1, Zhuozhi Dai6, and Weixiong Fan1

1Meizhou People's Hospital, Meizhou, China, 2First Affiliated Hospital of Shantou University Medical College, Shantou, China, 3GE Healthcare, Guangzhou, China, 4Siemens Healthineers, Shanghai, China, 5Siemens Healthineers, Guangzhou, China, 6Shantou Central Hospital, Shantou, China

This study developed and validated a point-based scoring system (PSS) for stratifying the axillary lymph node (ALN) metastasis risk of breast cancer (BC) based on preoperative clinicopathological and MRI features compared with MRI-reported ALN status model and to explore its prognostic significance. The PSS in our study provides an easy tool for surgeons to assess breast cancer patients' risk for ALN metastasis prior to surgery. And the results showed that PSS had a relatively better performance than MRI-reported ALN status model (P=0.045),with a higher AUC, accuracy, and specificity, suggesting that PSS can be routinely used in axillary nodal staging.

4266
Booth 4
Quantitative analysis of DCE-MRI for predicting lymphovascular invasion in breast cancer
Zhiqi Yang1, Tianfu Lai2, Xiaofeng Chen1, Ruibin Huang3, Weichao Yang1, Yuting Liao4, Mengzhu Wang5, Guijin Li6, Zhuozhi Dai7, and Xiangguang Chen1

1Meizhou People’s Hospital, Meizhou, China, 2Department of Radiology, Meizhou People’s Hospital, Meizhou, China, 3First Affiliated Hospital of Shantou University Medical College, Shantou, China, 4GE Healthcare, Guangzhou, China, 5Siemens Healthineers, Guangzhou, China, 6Siemens Healthineers, Shanghai, China, 7Shantou Central Hospital, Shantou, China

The optimal biomarkers for the diagnosis of breast lymphovascular invasion have not yet been found. DCE-MRI features can evaluate the tumor microenvironment which is related to LVI. This study explored the independent predictor of LVI, as well as developed and validated the parametric combined prediction model for the diagnosis of lymphovascular invasion in breast cancer using quantitative analysis of DCE-MRI. The prediction model based on Kep and N stage could improve the performance of LVI prediction, compared to clinicopathological or magnetic resonance parameters.

4267
Booth 5
Classification of Benign and Malignant Breast Lesions Using high b-value Diffusion MRI with a Continuous-time Random-walk (CTRW) Model
Yuan Jiang1, Ke Xue2, Yongming Dai2, Dongmei Wu3, Junzhe Yang1, Naishan Qin1, and Jianxing Qiu1

1Peking university first hospital, Beijing, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China

The high b-value DWI with a CTRW Model is useful in classification of benign and malignant proliferative breast lesions. The identification model using the combinations of CTRW parameters, Dm and β, has a moderate efficiency.

4268
Booth 6
Constructing XGboost prediction model based on 3.0T diffusion kurtosis imaging improves the diagnostic performance for breast cancer
Han Zhou1, Wan Tang1,2, Tianhong Quan3, Xiaoyan Chen1, Huanian Zhang1, Zijie Fu1, Renhua Wu1, and Yan Lin1

1Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, China, 2Institute of Health Monitoring,Inspection and Protection,Hubei Provincial Center for Disease Control and Prevention,Hubei Provincial Key Laboratory for Applied Toxicology, Wuhan, China, 3Shantou University,College Of Engineering, Shantou, China

This study demonstrated that MK derived from DKI was performed better than MD, ADC, Ve, Kep and Ktrans for differentiating between benign and malignant BLs. Also, MK has great potentialities in predict histological grades, lymph node status and Ki-67 expression of BCs. Finally, a XGboost model was constructed by combining MD, MK, age, shape and menstrual status, which exhibited superior diagnostic performance for BC characterization and an improved assessment of BLs. The findings of current study will aid the development of a novel noninvasive approach for BC screening and clinical diagnosis, therefore reducing unnecessary biopsies and patient`s anxiety.

4269
Booth 7
Improved Differentiation of Benign and Malignant Breast Lesions with Synthetic Relaxometry and Kaiser Score
Lingsong Meng1, Xin Zhao1, Jinxia Guo2, Lin Lu1, Qingna Xing1, Yafei Guo1, Honglei Shang1, Penghua Zhang1, Yongbing Sun1, and Xiaoan Zhang1

1The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Research, GE Healthcare, Beijing, China

Early detection and accurate characterization can reduce significantly the death rates of breast cancer patients. Kaiser score (KS) demonstrates robust and wonderful performance in the assessment of breast lesions. Nevertheless, this scoring system lacks quantitative parameters, which may lead to false negatives, especially for breast cancers exhibiting atypical morphological features. In this study, the quantitative value from Synthetic MRI was added to the KS assessment to improve the differentiation of the malignant and benign breast lesions.

4270
Booth 8
Multiband Accelerated IMPULSED Protocol for Breast Tumor Imaging
Jie Ding1, Zhen Zhang1, Yishi Wang2, Xiuzheng Yue2, Rongrong Zhu1, and Ruoshui Ha1

1Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 2Philips Healthcare, Beijing, China

The investigation of time dependent diffusion imaging techniques such as IMPULSED is emerging for clinical research since recently made available on 3T scanners. IMPULSED requires the acquisition of diffusion images at different diffusion times and diffusion weightings. In this study, we proposed to use Multiband to accelerate the data acquisition for IMPULSED and compared the ADC spectrum for two protocols. Our results showed the consistency in ADC calculation for the Multiband accelerated protocol with the result without using Multiband.

4271
Booth 9
Potential of a Nomogram Based on DCE MRI and Clinical Features to Reduce Unnecessary Biopsies of Breast Lesions: Comparison with BI-RADS
Youfan Zhao1, Zhongwei Chen1, Jiejie Zhou1, Haiwei Miao1, Shuxin Ye1, Huiru Liu1, Meihao Wang1, and Min-Ying Su2

1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States

318 patients (331 breast lesions) with DCE-MRI and clinical features were analyzed to establish a nomogram for diagnosis of breast cancer. The dataset was split to 233 (145 malignant 88 benign) for training, and 98 (61 malignant 37 benign) for testing. Radiomics features were extracted from DCE-MRI and selected to calculate the radiomics score. The clinical features were analyzed by univariate and multivariate analyses. Then a nomogram was established based on clinical features and rad-score. When applying cut-off values with ≥95% sensitivity, the nomogram can reduce 59.5% to 65.9% unnecessary biopsies, which was higher than that of BI-RADS.

4272
Booth 10
Differentiating malignant and benign breast tumors using a continuous-time random-walk diffusion model
Mu Du1, Da Zou2, Yanzhen Hou1, Liyun Zheng2, Dongmei Wu3, Yongming Dai2, and Yubao Liu1

1Medical Imaging Center, Shenzhen Hospital, Southern Medical University, Shenzhen, China, 2United Imaging Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai, China

Magnetic resonance imaging (MRI) is an important diagnostic method for the breast cancer. However, for conventional MRI techniques such as diffusion-weighted imaging (DWI), it ignores the non-Gaussian behaviors of the water diffusion caused by the restriction of tissue microstructure, thus the conventional method is insensitive to microstructural and heterogeneity changes in breast tumor. This study explores the feasibility of applying a continuous-time random-walk (CTRW) non-Gaussian diffusion model to the differentiation and assessment of malignant and benign breast tumors. The correlations between CTRW parameters and breast tumor immunohistochemical features such as oestrogen receptor (ER), progesterone receptor (PR) and Ki67 expression status are studied. The CTRW model has potential in future applications of breast tumor malignancy and therapeutic efficacy evaluation.

4273
Booth 11
Diffusion and IVIM MR imaging-based virtual elastography for the differentiation between invasive ductal carcinoma and fibroadenoma
Ting Liang1, Xianjun Li1, and Jian Yang1

1Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

Preoperative accurate differential diagnosis of benign and malignant breast tumors is very important to avoid unnecessary surgical treatment. This study aims to evaluate the potential efficacy of the virtual elastography (vMRE) method in the differential diagnosis of IDC and FA, and help guide clinical management. Our results suggested that mean virtual stiffness obtained by this vMRE method can accurately distinguish the hardness difference between FA and IDC.

4274
Booth 12
Mean Apparent Propagator-MRI: A Novel Diffusion-Based Approach for Quantitative Assessment of Tumor-Stromal Ratio in Breast Carcinoma
Xiang Zhang1, Wei Jiang1, Mengzhu Wang2, Zehong Yang1, Xu Yan2, Guang Yang3, Chunping Mao1, and Jun Shen1

1Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers, Guangzhou, China, 3Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China

Mean apparent propagator (MAP)-MRI establishes a robust analytical framework based on the random motion distribution of natural water molecules. This study investigated the application of quantitative parameters derived from MAP-MRI in patients with breast cancer and determined whether MAP-MRI can be adopted as a better method than apparent diffusion coefficient (ADC) from conventional DWI to preoperative diagnosis tumor-stromal ratio. The results suggested that quantitative assessment with MAP-MRI showed superior predictive performance than conventional DWI for preoperative diagnosis of tumor-stromal ratio in patients with breast cancer.

4275
Booth 13
Clinical Value of Synthetic MRI and DCE-MRI in the Differentiation of Benign and Malignant Breast Lesions
jinrui liu1, mengyin xu1, zhihao li2, jialiang ren3, and zhaohui an1

1General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare China, Xi’an, China, 3GE Healthcare China, Beijing, China

In this study, an evaluation was proposed based on the clinical value of synthetic MRI parameters in distinguishing benign and malignant breast lesions. From conclusion, the T2-pre values and PD-pre values were statistically significant different between benign and malignant lesion. The combined T2-pre, PD-pre with BI-RADS outperformed BI-RADS only in discriminating malignant and benign lesions, which has potential clinical value for improving diagnostic accuracy of breast lesions.

4276
Booth 14
Breast amide proton transfer imaging at 3T: diagnostic performance and correlation with pathologic characteristics
Zhou Liu1, Jie Wen1, Meng Wang1, Ya Ren1, Qian Yang1, Long Qian2, Honghong Luo1, Cuiju He1, Yin Wu3, and Dehong Luo1

1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China, 2MR Research, GE Healthcare, Beijing, China, 3Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

To date, great efforts have been made to investigate the performance of APT imaging in breast cancer diagnosis and prognosis, but with discrepant findings. Hence, this study aims to investigate the diagnostic performance and association of APT imaging with clinical-pathologic characteristics of breast cancer in a relatively large cohort of patients at 3T. Results showed significantly higher APTw signals in malignant lesions than that in benign ones, and high histologic grade, T stage and proliferation Ki-67 index in breast cancer patients. The results confirm the usefulness of APT imaging in the differentiation of lesion malignancy and the prediction of prognosis.

4277
Booth 15
Intravoxel incoherent motion imaging for the differentiating early breast adenosis from sclerosing adenosis
Qi Wu1, lina zhang2, qingwei song2, ailian liu2, liangjie lin3, xiaoxiao zhang3, and xiaofang xu3

1The First Affiliated Hospital of Dalian Medical University, daLian, China, 2The First Affiliated Hospital of Dalian Medical University, dalian, China, 3philips Healthcare, Beijing, China

Sclerosing adenosis (SA) of the breast is the late development stage of breast adenosis which is difficult to diagnose. Because its imaging manifestations are similar to malignant lesions of the breast, which often needs pathological diagnosis. Intravoxel incoherent motion(IVIM ) imaging is an MR method to separate diffusion and perfusion effects by fitting a double exponential model of signal attenuation and can accurately display the diffusion movement of water molecules. This study confirmed that some parameters of IVIM can be used in the identification of early breast adenosis and SA. Therefore, IVIM is of great value in the diagnosis of breast adenosis.


Cancer II

Gather.town Space: North West
Room: 1
Wednesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 20: Cancer

4278
Booth 1
Lung cancer in multi-parametric PET/MRI: assessment of subtype and EGFR status based on amide proton transfer-weighted imaging and 18F-FDG PET
Nan Meng1, Fangfang Fu2, Pengyang Feng3, Ziqiang Li4, Zhun Huang3, Ting Fang1, Yaping Wu2, Jianmin Yuan5, Yang Yang6, Hui Liu7, and Meiyun Wang*1

1Department of Medical Imaging, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 2Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, China, 3Department of Medical Imaging, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 4Department of Medical Imaging, Xinxiang Medical University Henan Provincial People’s Hospital, Zhengzhou, China, 5Central Research Institute, UIH Group, Shanghai, China, 6Beijing United Imaging Research Institute of Intelligent Imaging, UIH Group, Beijing, China, 7UIH America, Houston, TX, United States

18F-Fluorodeoxyglucose positron-emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) allows multimodal quantitative MRI sequences to be scanned in parallel with PET imaging, providing a more multidimensional reflection of lesion information. Our results showed that amide proton transfer-weighted imaging (APTWI), and metabolism related parameters can be beneficial for the non-invasive assessment of subtype and EGFR status in patients with lung cancer.

4279
Booth 2
Apparent Diffusion Coefficient of Different Diffusion Times for Differentiation of Benign and Malignant Breast Tumors
Jie Ding1, Yishi Wang2, Zhen Zhang1, Xiuzheng Yue2, Rongrong Zhu1, and Ruoshui Ha1

1Medical Imaging Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China, 2Philips Healthcare, Beijing, China

Some novel biomarkers has emerged from the fact that apparent diffusion coefficient (ADC) depends strongly on the diffusion time, such as the rate of ADC change using two diffusion times for the differentiation of breast tumor types and a cell size modeling. In this study, we propose to use Multiband (MB) SENSE to accelerate the data acquisition of OGSE and PGSE sequences and compare the diagnostic value of ADC at different diffusion times for breast tumor. Our data showed superior diagnostic performance between benign and malignant breast lesions using ADC at a short diffusion time.

4280
Booth 3
Time-dependent IVIM and non-Gaussian parameters in breast cancer and melanoma xenograft models; correlation with histological markers
Yuko Someya1, Mami Iima1,2, Hirohiko Imai3, Tomomi Nobashi1, Akihiko Yoshizawa4, Masako Kataoka1, Hiroyoshi Isoda1, Denis Le Bihan5,6,7, and Yuji Nakamoto1

1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, 2Institute for advancement of clinical and translational science, Kyoto University Hospital, Kyoto, Japan, 3Department of Systems science, Graduate School of Informatics, Kyoto University, Kyoto, Japan, 4Department of Diagnostic Pathology, Kyoto University, Kyoto, Japan, 5NeuroSpin/Joliot, CEA-Saclay Center, Paris-Saclay University, Gif-sur-Yvette, France, 6Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 7National Institute for Physiological Sciences, Okazaki, Japan

Time-dependent IVIM and non-Gaussian diffusion parameters might provide additional information over conventional DWI to evaluate features linked to tissue microstructure. Time-dependent IVIM and non-Gaussian diffusion parameters were evaluated both in-vivo and post-mortem in MDA-MB-231 (breast cancer) and B16 (melanoma) models. As expected, fIVIM values significantly dropped from in-vivo to post-mortem conditions with both models at two different diffusion times, confirming the association between fIVIM and tumor perfusion, but did not reach 0, suggesting limitations in the IVIM/non-Gaussian Kurtosis model. ADCo values significantly decreased at long diffusion times and upon sacrification while Kurtosis moderately increased.

4281
Booth 4
Magnetic resonance elastography imaging for the evaluation of MVI of T1 staging renal clear cell carcinoma preoperatively
Hanmei Zhang1, Daguang Wen1, Jie Chen1, Yi Wang1, Yuntian Chen1, Yige Bao2, and Bin Song1

1Radiology, Sichuan University, West China Hospital, Chengdu, Sichuan, China, 2Urology, Sichuan University, West China Hospital, Chengdu,Sichuan, China

This prospective study evaluated the performance of 3D magnetic resonance elastography imaging for predicting microvascular invasion(MVI) of T1 staging renal clear cell carcinoma. 80 consecutive patients were enrolled. The mean MRE stiffness value has significant difference between the tumor with MVI (5.4±0.6 Kpa) or without MVI (4.1±0.3 Kpa) (p<0.05). The sensitivity, specificity, positive predictive value, negative predictive value, AUC of stiffness value to predict MVI were 100%, 75%, 63%, 96%, 0.87, respectively. 3D MRE imaging has promising diagnostic performance for T1 staging renal clear cell carcinoma MVI.

4282
Booth 5
Application of ultra-high b value diffusion weighted aquaporin imaging for discrimination of prostate cancer from benign prostatic hyperplasia
Yunsong Liu1, Lihua Chen1, Jiazheng Wang2, Liangjie Lin2, Zhigang Wu2, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

In this study, the ADC value (AQP-ADC) fitted by ultra-high b value diffusion weighted images (UHB-DWI) was used for discrimination between prostate cancer (PCa) from benign prostatic hyperplasia (BPH). The AQP-ADC value was observed to significantly higher in PCa than in BPH. And AQP-ADC may serve as a potential biomarker for differentiation between benign and malignant prostate lesions.

4283
Booth 6
Can whole-tumor histogram based on zoomed EPI diffusion-weighted imaging help predict perineural invasion in rectal cancer?
Lijuan Wan1, Hongmei Zhang2, and Qinglei Shi3

1Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 3MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China

Perineural invasion (PNI) is a strong prognostic indicator in rectal cancer. Timely and accurate assessment of PNI status can assist in making individualized treatment plans. Histogram features can reflect the heterogeneity of tumors with better reproducibility than higher-order texture features. The zoomed DWI can provide a higher-spatial-resolution with fewer artifacts and distortions. We aim to evaluate the ability of histogram parameters derived from zoomed DWI to identify patients with positive PNI. The results demonstrated that histogram parameters could be used for assessing PNI status in RC, and skewness achieved the highest AUC.

4284
Booth 7
Diffusion-kurtosis based texture features for differential diagnosis between prostate cancer and benign prostatic hyperplasia
Yunsong Liu1, Ailian Liu1, Lihua Chen1, Jiazheng Wang2, Liangjie Lin2, and Xiaoxiao Zhang2

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

The differential diagnosis between prostate cancer (PCa) and benign prostatic hyperplasia (BPH) remains challenging due to their overlapping atypical clinical symptoms and MRI features. This study aims to explore the performance of mean kurtosis (MK) based texture features in differentiation between PCa and BPH. Results show that the MK texture features can help distinguish PCa and BPH. The 90Percentile MK value show the best diagnostic performance (AUC: 0.93; sensitivity: 88%; specificity: 100%).

4285
Booth 8
Evaluation of brain tumor and surrounding tissue activity using multi-pool CEST imaging on 3 Tesla scanner
Yuki Kanazawa1, Masafum Harada1, Mitsuharu Miyoshi2, and Yuki Matsumoto1

1Tokushima University, Tokushima, Japan, 2Global MR Applications and Workow, GE Healthcare Japan, Hino, Japan

We evaluated amide- and amine-CEST signal of brain tumors on a 3 Tesla MR scanner with conventional Z-spectrum and MTRasym analysis. Subjects were eight patients with brain tumor. There were significant differences between mean MTRasym values at 0.2 and 0.35 ppm offset frequencies (P < 0.05). Our findings was able to evaluate brain tumor characteristics with multi-pool analysis on the positive side of offset frequency on a 3 Tesla MRI scanner.

4286
Booth 9
Developing CEST-detectable liposomal hydrogel for monitoring local brain tumor treatment
Se Weon Park1,2, Joseph H.C Lai1, Xiongqi Han3, Jianpan Huang1, Peng Xiao1, and Kannie W.Y. Chan1,4,5

1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong, 3SiBionics, Shenzhen, China, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5City University of Hong Kong Shenzhen Research Institute, Shenzhen, China

Glioblastoma is a malignant form of brain tumors, which has a high recurrence even with combined treatments. Here, we developed anti-cancer drugs loaded liposomal hydrogels for sustainable drug release to treat brain tumors locally under MRI guidance. These anti-cancer drugs are CEST-detectable. We observed a continuous decrease in tumor size and CEST contrast at 3.5 and -3.5 ppm compared to control group, where drug-free liposomal hydrogel was injected. The therapeutic efficacy of local drug delivery using liposomal hydrogel was evidenced and can be monitored using CEST multiple-contrast approach. This could serve a robust theranostic application for local brain tumor treatment.


4287
Booth 10
Whole-Body Tumor Load ADC Histogram Analysis for Therapy Response Prediction and Evaluation for Multiple Myeloma
Yuhan Gao1, Qin Wang1, Lu Zhang1, Shuang Xia2, Jinxia Zhu3, Rober Grimm4, Alto Stemmer4, Shuo Li1, Dong Liu1, Huadan Xue1, and Zhengyu Jin1

1Peking Union Medical College Hospital, Beijing, China, 2Tianjin First Central Hospital, Tianjin, China, 3Siemens Healthcare, Beijing, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

This study aimed to explore the value of histogram analysis of apparent diffusion coefficient (ADC) maps for whole-body tumor load(WBTL) in predicting and evaluating the treatment response based on International Myeloma Working Group (IMWG) 2016 consensus criteria in patients with multiple myeloma (MM).Histogram analysis of ADC maps extracted eight parameters: mean, median, standard-deviation, entropy, skewness, kurtosis, ADC_5%, and ADC_95%. Seven parameters at baseline were significantly associated with therapy response. Three parameters in treatment percentage change were significantly associated with therapy response. ADC histogram analysis may be considered as an adjunct tool to the MM therapy response evaluation and prediction.

4288
Booth 11
Golden-angle radial sparse parallel (GRASP) and simultaneous multi-slice RESOLVE DWI MRI in evaluation of postoperative pituitary adenomas
Zecheng Chen1, Kai Niu2, Xinrui Liu1, Simin Yang3, Yueluan Jiang4, Zechen Yu5, Hongchao Wang3, Huimao Zhang3, and Chunjie Guo3

1Neurosurgery, the First Hospital of Jilin University, Changchun, China, 2Otorhinolaryngology Head and Neck Surgery, the First Hospital of Jilin University, Changchun, China, 3Radiology, the First Hospital of Jilin University, Changchun, China, 4Siemens Healthineers ., Beijing, China, 5Siemens Healthineers Digital Technology., Harbin, China

MRI is a primary imaging method for the evaluation of pituitary adenomas (PAs). However, it is challenging to identify the postoperative residual tumors using traditional techniques. A recent approach Golden-angle Radial Sparse Parallel (GRASP)-DCE, and the novel simultaneous multi-slice (SMS) readout-segmented EPI technique (RESOLVE) procedures were performed to assess the residual tumors of postoperative PAs. And the residual tumors were observed as slow enhancement in GRASP images while manifesting as hyperintense in SMS-RESOLVE images. Thus, both of them are promising techniques for the evaluation of postoperative residual PAs.

4289
Booth 12
Correlation between SUV, tumor blood flow and ADC of extra-axial tumors on FDG-PET/MRI
Sayo Otani1, Yasutaka Fushimi1, Satoshi Nakajima1, Akihiko Sakata1, Sachi Okuchi1, Takuya Hinoda1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Satoshi Ikeda1, and Yuji Nakamoto1

1Kyoto University Graduate School of Medicine, Kyoto, Japan

PET/MRI shows high accuracy of fused images by simultaneously acquired PET and MR images. We can obtain spatially and temporally consistent information on metabolic and anatomic information from PET/MRI. We evaluated each quantitative value in 12 patients with extra-axial tumor in this study. We manually placed the same regions of interest (ROIs) of the tumor on FDG-PET, CBF map and ADC map, and performed ROI analysis of SUV, TBF (tumor blood flow) and ADC. There were correlations between SUV and TBF, and between SUV and ADC among patients with TBF less than 110 ml/100g/min.

4290
Booth 13
Improved differentiation of Primaray liver cancer by combination of Amide Transfer weighted imaging(APTw) and T2 mapping
Tao Lin1, Jiazheng Wang2, Zhigang Wu2, Lihua Chen 1, Qingwei Song1, Renwang Pu1, Ying Zhao1, Xue Ren1, Qihao Xu1, and Ailian Liu1

1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

Hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) are the most common types of primary liver cancer, which differ greatly in terms of pathogenesis, biological behavior, histological morphology, treatment and prognosis. The accurate diagnosis of HCC and ICC is important for treatment options. In this retrospective study, we revealed that APTw combined with T2 mapping could improve the differential diagnosis of HCC and ICC. Results showed that APTw combined with T2 mapping had higher efficacy (AUC:0.910). Further analysis also implied moderate correlations between APTw and T2 mapping.

4291
Booth 14
Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI During Radiotherapy in Patients with Head and Neck Cancer (PREDICT-HN study)
Sweet Ping Ng1, Carlos Cardenas2, Houda Bahig3, JiHong Wang4, Jason Johnson4, Ying Yuan4, Amy Moreno4, and Clifton Fuller4

1Austin Health, Heidelberg, Australia, 2University of Birmingham Alabama, Birmingham, AL, United States, 3Centre hospitalier de l'Université de Montréal, Montreal, QC, Canada, 4MD Anderson Cancer Center, Houston, TX, United States

We evaluated the weekly ADC kinetics of tumour during radiotherapy for head and neck cancer in the PREDICT-HN study. of 41 patients, 36 had intact primary tumours, and 31 patients had nodal disease with 46 nodes assessed. For primary tumours, a steep increase in ADC values from pre-treatment to week 2, and from weeks 5 to post-treatment was observed. For nodes, ADC values increased from pre-treatment to week 4, and then decreased thereafter. A discrepancy in the trajectory of ADC changes between primary and nodal sites suggesting that they exhibit different treatment responses.

4292
Booth 15
Gadolinium-free Contrast-enhanced MRI (GFCE-MRI) Synthesis via Generalizable MHDgN-Net for Patients with Nasopharyngeal Carcinoma
Wen Li1, Saikit Lam1, Haonan Xiao1, Tian Li1, Ge Ren1, Shaohua Zhi1, Xinzhi Teng1, Chenyang Liu1, Jiang Zhang1, Francis Kar-ho Lee2, Kwok-hung Au2, Victor Ho-fun Lee3, Amy Tien Yee Chang4, and Jing Cai1

1The Hong Kong Polytechnic University, HONG KONG, Hong Kong, 2Queen Elizabeth Hospital, HONG KONG, Hong Kong, 3The University of Hong Kong, HONG KONG, Hong Kong, 4Hong Kong Sanatorium & Hospital, HONG KONG, Hong Kong

We have developed and validated a MHDgN-Net for gadolinium-free contrast-enhanced MRI (GFCE-MRI) synthesis in patients with nasopharyngeal carcinoma (NPC). The developed MHDgN-Net was featured with high generalizability. We first modelled the MHDgN-Net using three hospital datasets to improve the diversity of training samples. Then, the external hospital data was matched to the distribution of training dataset by EDM. Compared to traditional models, the proposed MHDgN-Net can accurately enhance tumor and significantly improve the quality of GFCE-MRI when applying to external hospital data. This technique holds great potential in providing a generalizable gadolinium-free tumor enhancement alternative on data from other hospitals.


Cancer III

Gather.town Space: North West
Room: 2
Wednesday 9:15 - 11:15
Clinical & Preclinical
Module : Module 20: Cancer

4293
Booth 1
Bosniak II-III Cystic Renal Masses: Subtraction MR Images for Improvement of Interobserver Agreement with Bosniak Classification, Version 2019
Huanhuan Kang1, Xu Bai2, Wei Xu1, Mengqiu Cui1, Shaopeng Zhou1, Baichuan Liu1, and Haiyi Wang1

1Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing, China, 2Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China

The purpose of this study was to investigate whether subtraction MR images can improve the interobserver agreement for Bosniak II, IIF and III cystic renal masses (CRMs) with Bosniak classification, version 2019. The results showed that the interobserver agreement was higher with subtraction MR images than without subtraction MR images (weighted k = 0.73 vs 0.60, respectively; P=.011), which may contribute to the popularization and application of Bosniak classification, version 2019.

4294
Booth 2
Correlation between changes of pelvic bone marrow fat content and hematological toxicity in concurrent chemoradiotherapy for cervical cancer
XIAOHANG QIN1,2, CONG WANG3, and YONG YIN2

1Department of Graduate, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China, 2Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China, 3Department of Fourth Ward of Gynecological Tumor, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China

Bone marrow is a heterogeneous mixed tissue, which can be divided into red bone marrow with hematopoietic activity and yellow bone marrow with high fat content. Concurrent chemoradiotherapy can induce red bone marrow transfer into yellow bone marrow, increasing the bone marrow fat content and inhibiting hematopoietic function. The study used the MRI IDEAL IQ sequence to quantify the changes of pelvic bone marrow fat content receiving different doses of concurrent chemoradiotherapy for cervical cancer, and to determine associations with peripheral blood cell counts.


4295
Booth 3
MRI-based radiomics model for preoperative prediction of extramural venous invasion of rectal adenocarcinoma
Huijie Jiang1, Xue Lin1, Sheng Zhao1, and Hongbo Hu1

1Harbin Medical University, Harbin, China

Radiomics features were extracted through MRI images and different prediction models (clinical model, logistic regression [LR], random forest [RF], support vector machine [SVM], clinical-LR model, clinical-RF model, and clinical-SVM model) for extramural venous invasion (EMVI) were constructed on the basis of radiomics features and clinical factors, respectively. The optimal model, which had the best predictive efficiency, was screened out for predicting the EMVI status of rectal adenocarcinoma patients.

4296
Booth 4
Diagnostic evaluation of the Kaiser scoring combined with breast vascular assessment for the characterization of breast lesions
Xin-zhu Zhou1, Hua Lai1, Lian-hua Liu1, Shuang He1, Hui-fang Yao1, Li-ping Chen1, Chen Deng1, Shuang-Ling Li1, and Xiao-yong Zhang2

1Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2Clinical Science, Philips Healthcare, Chengdu, China

Kaiser scoring (KS) system for breast magnetic resonance imaging (bMRI) is a new clinical decision-making tool for the diagnosis of breast lesions. This study proposed and investigated the feasibility of Kaiser score combined with breast vascular assessment, defined as KS* ,  for its diagnostic performance in breast magnetic resonance imaging (bMRI). The results showed that the additional used ipsilateral breast vascularity and positive adjacent vessel sign (AVS) can accurately evaluate breast lesions, and KS* has higher diagnostic efficiency for breast lesions than conventional KS, especially for non-mass lesions.

4297
Booth 5
Value of ESWAN combined with DTI in the differential diagnosis of solid pseudopapillary tumor and neuroendocrine tumor of pancreas
Lu Wang1, Yi Wang2, Xinqi Wang1, Longshuang Wang1, Qinhe Zhang3, Lizhi Xie4, and Ailian Liu3

1School of Medical Imaging, Dalian Medical University, Dalian, China, 2DepartmentofRadiology,DalianFriendshipHospital, Dalian, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 4GE Healthcare, MR Research China, Beijing, China

It is difficult to differentiate the solid pseudopapillary tumor of the pancreas (SPTP) from pancreatic neuroendocrine tumor (PNET). Enhanced T2* weighted angiography (ESWAN) technique can simultaneously obtain amplitude, phase, R2* and T2* values, which can quantitatively assess the magnetic sensitivity characteristics of tissues. DTI can evaluate the diffusion of water molecules in living tissues. This study founded that R2* and T2* of ESWAN, fractional aniso (FA) and volume ratio aniso (VRA) of DTI were significantly different (P<0.05) and the AUC was 0.860(sensitivity: 100%; specificity: 79.2%). Therefore, ESWAN combined with DTI may be an effective method to identify SPTP and PNET.

4298
Booth 6
Differentiation of solid pseudopapillary tumor and neuroendocrine tumor of pancreas using DTI
Xinqi Wang1, Yi Wang2, Lu Wang1, Qinhe Zhang3, Lizhi Xie4, and Ailian Liu3

1School of Medical Imaging, Dalian Medical University, Dalian, China, 2Department of Radiology, Dalian Friendship Hospital, Dalian, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 4GE Healthcare, MR Research China, Beijing, China

It is difficult to differentiate the solidpseudopapillary tumer of the pancreas(SPTP) from pancreatic neuroendocrine tumers (PNET), due to their similar imaging characteristics. There was significant difference in DTI quantitative parameters Fractional Aniso (FA) and Volume ratio Aniso (VRA) between SPTP and PNET. The results showed that the FA and VRA values of DTI sequence of SPTP were significantly higher than that of PNET. Therefore, DTI sequences may be an effective method to identify SPTP and PNET.

4299
Booth 7
New Diagnosis Criteria for Hepatocellular Carcinoma: Gadoxetic Acid-enhanced MRI Integrating CT-Vascular Features May Facilitate Evaluation
Shan Yao1, Yi Wei1, Hehan Tang1, Lisha Nie2, Xiaocheng Wei2, and Bin Song1

1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2GE Healthcare China, Beijing, China

Gadoxetic acid-enhanced magnetic resonance imaging (MRI) has been widely used in detection and diagnosis for hepatocellular carcinoma (HCC), while transient severe motion artifact that affects the arterial phase (AP) images quality and reduces diagnosis performance remains a concern. A new diagnosis criterion for HCC integrating CTAP and MRAP images was introduced in this study and achieved a high sensitivity and comparable specificity when compared with the gadoxetic acid-enhanced MRI only. It may be able to improve the diagnostic performance of gadoxetic acid-enhanced MRI in patients with HCCs and further affect the clinical treatment plan.

4300
Booth 8
Value of Amide Proton Transfer Combined with Dynamic Contrast-Enhanced MRI in Predicting Pathological Features of cervical cancer
Qingling Song1, Ailian Liu2, Changjun Ma3, and Qingwei Song2

11. Department of Radiology, Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China, 21.Department of Radiology, The First Affiliated Hospital, Dalian Medical University 2. Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, 3Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China

The proper evaluation of pathological features including differentiation degree, deep stromal invasion (DSI) and vascular space invasion (VSI) is vital for patients with cervical cancer. Amide Proton Transfer (APTW) and Dynamic Contrast-Enhanced MRI (DCE-MRI) were used to predict tumor differentiation, DSI and VSI. Results showed that combined APTW and DCE-MRI predicted VSI with good performance. Therefore, combination of APTW and DCE-MRI is potentially a promising and valuable non-invasive method in detection for predicting VSI.


Miscellaneous Clinical Body MRI

Gather.town Space: North East
Room: 5
Wednesday 16:45 - 18:45
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

4476
Booth 1
Diagnostic Performance of PDFF and Multi-Frequency 3D-MRE in the Detection of NASH and NASH-Required Therapy in a Large Cohort of 380 Patients
Kyle Kalutkiewicz1, Jiahui Li1, Zheng Zhu1, Jun Chen1, Taofic Mounajjed2, Kevin J. Glaser1, Safa Hoodeshenas1, Sudhakar K. Venkatesh1, Armando Manduca1, Claude B. Sirlin3, Vijay H. Shah4, Alina M. Allen4, Richard L. Ehman1, and Meng Yin1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Surgical Pathology, Mayo Clinic, Rochester, MN, United States, 3Radiology, UC San Diego, La Jolla, CA, United States, 4Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States

Liver biopsy and multi-parametric MRI/MRE were performed on 380 patients at risk of NASH. Histopathological diagnoses of NASH were collected along with proton density fat fraction (PDFF), and 3D-MRE measured liver stiffness (LS) and loss modulus (LM). While PDFF alone showed good ability to predict NASH (AUC: 0.80 [0.76, 0.85]), the addition of MRE measurements increased the diagnostic performance with strong statistical significance (AUC: 0.85 [0.81, 0.89], p<0.0004). LS alone was also found to be the strongest predictor of NASH-required treatment (AUC: 0.89 [0.84, 0.93], p<0.05), further establishing the critical role of MRE for clinical management of liver disease.

4477
Booth 2
Pulmonary Vasculature and T2* mapping of Lung in post-COVID subjects using Free-Breathing 3D UTE
Vadim Malis1, Won Bae1, Jirach Kungsamutr2, Xiaowei Zhang1, Yoshimori Kassai3, Andrew Yen1, Susan Hopkins1, Yoshiharu Ohno4, and Mitsue Miyazaki1

1Radiology, UC San Diego, San Diego, CA, United States, 2Bioengineering, UC San Diego, San Diego, CA, United States, 3Canon Medical Systems Corp., Tochigi, Japan, 4Radiology, Fujita Health University, Toyoake, Japan

Free-breathing 3D MRI techniques are applied to explore the impact of COVID-19 in adults. Single echo non-fat suppressed Ultra-short TE (UTE) was utilized for automatic segmentation of lung, Multi-echo UTE with fat suppression was used to obtain T2* maps, and UTE with Time-Spatial Labeling Inversion Pulse (Time-SLIP) allowed to visualize pulmonary vasculature.

4478
Booth 3
Monitoring Multi-Organ Stiffness Changes with MR Elastography in Amyloidosis Patients Treated with Stem Cell Therapy
Arvin Arani1, Jessica Magnuson1, Zheng Zhu1, Joshua D. Trzasko1, Yi Sui1, Devanshi Damani1, Kevin Glaser1, Matthew C. Murphy1, Meng Yin1, Angela Dispenzieri1, Richard L. Ehman1, Sudhakar K. Venkatesh1, and Philip A. Araoz1

1Mayo Clinic, Rochester, MN, United States

Light chain (AL) cardiac amyloidosis is a disease where abnormal proteins are deposited in multiple organs and is associated with elevated tissue stiffness. In cases with poor prognosis, autologous hematopoietic stem cell transplantation (ASCT) is used for therapy. Organ response monitoring is currently limited and challenging.  The objective of this study was to evaluate the feasibility of using magnetic resonance elastography (MRE) to monitor stiffness changes in multiple organs pre- and post- ASCT therapy. At 3 months post therapy, significant reduction in MRE stiffness (p<0.001) was observed in organs that exhibited successful therapy response (defined by 9 month clinical outcomes).

4479
Booth 4
High-resolution, high-contrast MRI protocol with extended delayed imaging for peritoneal mesothelioma
Milica Medved1, Hunter D. D Witmer2, Ankit D. D Dhiman2, Yaniv Berger3, Scott K Sherman4, Enal S Hindi2, Samuel G Armato III1, Ingrid S Reiser1, Aytekin Oto1, Roger M Engelmann1, Hedy L Kindler5, Nisa C Oren1, Carla B Harmath1, and Kiran K Turaga2

1Department of Radiology, The University of Chicago, Chicago, IL, United States, 2Department of Surgery, The University of Chicago, Chicago, IL, United States, 3Department of Surgery B, Chaim Sheba Medical Center, Ramat Gan, Israel, 4Department of Surgery, University of Iowa, Iowa City, IA, United States, 5Department of Medicine, The University of Chicago, Chicago, IL, United States

Improved methods for visualizing malignant peritoneal mesothelioma are needed.  A high-resolution, high-contrast MRI protocol at 3T, including multiple delayed phases, was tested in 18 patients scheduled for laparoscopy/laparotomy.  Both contrast washout and ongoing uptake was observed in individual lesions, pointing to a need for imaging with both short and long post-contrast delay times for optimal sensitivity.  The per-patient average uptake/washout rate was significantly correlated with the cumulative nuclear score on pathology.  The tested MRI protocol is feasible and may allow for more accurate visualization of peritoneal lesions and better guidance of management options.

4480
Booth 5
Predicting breast cancer treatment response using a hybrid deep learning network on multislice SyntheticMR images
Jong Bum Son1, Ken-Pin Hwang1, David E Rauch1, Ju Hee Ahn2, Jiyoung Lee3, Zijian Zhou1, Bikash Panthi4, Beatriz Adrada4, Rosalind P Candelaria4, Jason B White5, Mary Guirguis4, Rania M Mohamed6, Elizabeth E Ravenberg7, Clinton Yam7, Debasish Tripathy7, and Jingfei Ma1

1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Radiology Department, GangNam Radiology Clinic, Busan, Korea, Republic of, 3College of Medicine, Chung-Ang University, Seongnam-si, Korea, Republic of, 4Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 5Department of Moon Shots Operations, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 6Department of Breast Imaging Research, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 7Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

We developed a hybrid deep learning network combining convolutional neural (CNN) and long short-term memory (LTSM) networks to predict slice-to-slice consistent responses to neoadjuvant systematic therapy (NAST) in triple negative breast cancer (TNBC) patients using multislice quantitative SyntheticMR images. We demonstrated that neural networks originally developed for video feature classification can be adapted to predict treatment response of cancer patients using MR images. Our hybrid network was able to overcome the slice-to-slice inconsistency that would have resulted if a 2D network is applied directly, therefore providing higher prediction accuracy.

4481
Booth 6
Intracellular Iron Chelation affects Cellular Metabolism in Triple Negative Breast Cancer Cells: Comparison between Human and Murine Models
Paola Porcari1, Ellen Ackerstaff1, Soe Su Min1, Dov P. Winkleman1, H. Carl Lekaye1, and Jason A. Koutcher2,3,4,5

1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, United States, 2Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 4Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 5Weill Cornell Medical College, Cornell University, New York, NY, United States

 We investigated the effect of Deferiprone, an iron chelator clinically used for non-cancer related diseases, on cellular metabolism and the impairment of cell growth in the human MDA-MB-231 and murine 4T1 triple-negative breast cancer models. By comparing the findings obtained on both cell lines through 13C MRS monitoring with those related to mitochondrial respiration, we aimed to better understand the metabolic mechanism driving the changes that follow Deferiprone exposure. A stronger effect of DFP exposure was observed in human MDA-MB-231 cells than murine 4T1 cells. 

4482
Booth 7
MR imaging of increased fibrotic tissue and hyaluronan deposition in the advanced stages of pancreatic ductal adenocarcinoma
Ravneet Vohra1, Yak-Nam Wang2, Helena Son3, Stephanie Totten2, Akshit Arora4, Adam Maxwell5, and Donghoon Lee1

1Radiology, University of Washington, Seattle, WA, United States, 2Applied Physics Laboratory, University of Washington, Seattle, WA, United States, 3Gastroenterology, University of Washington, Seattle, WA, United States, 4Arts and Sciences, University of Washington, Seattle, WA, United States, 5Urology, University of Washington, Seattle, WA, United States

Pancreatic cancer is expected to become the second leading cause of the cancer-related deaths in the USA by 2030. A genetically engineered mouse model (KPC) offers an alternative to transplantation models for preclinical therapeutic evaluation as it expresses mutations similar to human pancreatic cells. MRI can be used to monitor the tumor microenvironment in a variety of tumors. The goal of this study was to monitor fibrotic tissue and hyaluronan deposition in the KPC mouse model during the late stages of tumor development.


Preclinical Imaging III

Gather.town Space: North West
Room: 1
Thursday 9:15 - 11:15
Clinical & Preclinical
Module : Module 13: Preclinical Imaging

4639
Booth 1
Correlating Raised Intracranial Pressure with Increased ­Brain Motion in a Ovine Model
Alice Little1, Eryn Kwon1,2,3, Soroush Safaei2, Gonzalo Maso Talou2, David Dubowitz1, Miriam Scadeng1,3, Sarah-Jane Guild2,4, and Samantha Holdsworth1,3

1Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand, 2Auckland Bioengineering Institute, Auckland, New Zealand, 3Mātai Medical Research Institute, Gisborne, New Zealand, 4Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand

Heartbeat-driven brain motion has historically remained limited to the domain of research. Such motion may provide a window into conditions that alter the brain pressure where direct, invasive measurements are difficult to justify. Amplified MRI (aMRI) is a recently developed method which amplifies subtle brain motion, providing high temporal resolution and high contrast ‘videos’ of brain motion patterns. In an ovine model of elevated intracranial pressure we show preliminary data that aMRI can be used to detect changes in brain motion associated with pressure, indicating potential to provide non-invasive insight into the mechanical changes in patients with altered intracranial pressure.

4640
Booth 2
T2/T1-weighted MRI revealed the therapeutic role of microglial SMAD7 in a traumatic brain injury (TBI) mouse model
Yang Ruan1, Yimin Huang2, Xuejun He2, Huaqiu Zhang2, and Hongxia Lei1

1Wuhan United Imaging Life Science Instrument Co., Ltd., China, Wuhan, China, 2Department of Neurosurgery, Tongji Hospital, Tongji Medical College,, Huazhong University of Science and Technology, Wuhan, China

We applied T2/T1-weighted MRI together with behavior, Hematoxylin&Eosin(HE)and immunohistochemistry fluorescence staining (IHC) to evaluate the role of microglial SMAD7, a novel therapeutic approach, in a TBI mouse model. The consistency between MRI results and behavior and myelin and neurnal marker outcomes suggest that the protective role of over-expression of microglial SMAD7 in TBI.

4641
Booth 3
Quantifications of Relative Cerebral Blood Volume and MRS metabolites in Aging Collapsin Response Mediator Protein 1 Gene Knockout Mice
Tzu-Ming Hung1, Sheng-Min Huang2, Yun-Chieh Tsai3, Ting-Yu Chin4, and Hsu-Hsia Peng1

1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Hsinchu, Taiwan, 2Institute of biomedical engineering and nanomedicine, National Health Research Institutes, Miaoli, Taiwan, Miaoli, Taiwan, 3Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City 114, Taiwan, Taipei, Taiwan, 4Department of Bioscience Technology, Chung Yuan Christian University, Taoyuan City 320, Taiwan, Taoyuan, Taiwan

Aging and collapsin response mediator protein 1 (CRMP-1) gene knockout (KO) mice may exhibit neural disorganization in hippocampus and demonstrate memory and spatial learning dysfunction. The purpose of this study was to quantify relative cerebral blood volume (rCBV) and MRS metabolites in hippocampus in wild type and aging CRMP-1 KO mice. There was no significant difference of rCBV value between the two groups. In comparison with wild type (WT) mice, KO mice possessed significant lower Glx/t-Cr level in hippocampus, illustrating the altered neural transmission function in aging CRMP-1 KO mice.

4642
Booth 4
Detection of cranial nerve degeneration in a transgenic Parkinson’s disease model marmoset using multi-contrast mechanism MRI
Junichi Hata1,2,3, Reona Kobayashi2, Yawara Haga2, Mai Mizumura1, Hinako Oshiro1, Kanako Muta1, Naoya Hayashi2, Daisuke Yoshimaru3, Kei Hagiya2, Hirotaka James Okano3, and Hideyuki Okano2

1Tokyo Metropolitan University, Tokyo, Japan, 2RIKEN Center for Brain Science, Saitama, Japan, 3The Jikei University, School of Medicine, Tokyo, Japan

In this study, we evaluated the characteristics of the brain in a genetically modified marmoset model of Parkinson’s disease. Various contrast mechanism images were acquired using magnetic resonance imaging (MRI), and the whole brain underwent explorative investigation with each contrast. This study was evaluated for Parkinson’s disease marmoset by anatomical MRI, neural fiber tractography and awakening state functional MRI. Malti-contrast MRI showed diseases characteristics in the thalamus, the nigral striatum, motor circuit and anymore. The findings suggest that the marmoset is useful as a model animal to study human diseases.


4643
Booth 5
High-resolution multimodal imaging of the embryonic and neonatal mouse
Tomokazu Tsurugizawa1,2,3, Takuma Kumamoto4, Daisuke Yoshimaru5, and Yoshichika Yoshioka6

1Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan, 2Faculty of Engineering, University of Tsukuba, Tsukuba, Japan, 3Center for Information and Neural Networks (CiNet), Osaka University and National Institute of Information and Communications Technology (NICT), Osaka, Japan, 4Developmental Neuroscience Project, Department of Brain & Neurosciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan, 5Division of Regenerative Medicine, Jikei University school of Medicine, Tokyo, Japan, 6Graduate School of Frontier Biosciences, Osaka University, Osaka, Japan

The potential of magnetic resonance microscopy is to image the multimodal function of the brain in small brain, such as embryo. In this study, we developed high resolution imaging of T1 image, T2 mapping, mean diffusivity, and neurite orientation dispersion by diffusion MRI in embryo and early postnatal (P07) in mouse. These values were different between embryo and early postnatal. Immunohistochemistry revealed distinct proliferation and maturation of neurons and astrocytes in these stages. These results indicate the possibility of high-resolution MR microscopy to detect the cellular maturation in development.

4644
Booth 6
Brain redox imaging using the blood–brain barrier-permeable nitroxides with different resistances to esterase
Miho C EMOTO1, Shingo Sato2, Hideo Sato-Akaba3, and Hirotada G Fujii4

1Department of Clinical Laboratory Science, Health Sciences University of Hokkaido, Sapporo, Japan, 2Yamagata University, Yamagata, Japan, 3Osaka University, Toyonaka, Japan, 4Health Sciences University of Hokkaido, Ishikari, Japan

Lipophilic 3-methoxycarbonyl-2,2,5,5-tetramethylpiperidine-1-oxyl (MCP) has been used as a redox-sensitive nitroxide probe in MRI and EPR brain redox studies. Despite its success for this purpose, MCP cannot evaluate the redox status at both hydrophobic and hydrophilic brain regions. Accordingly, it is necessary to identify a lipophilic nitroxide that can penetrate the BBB and is hydrolyzed to hydrophilic nitroxide by neuronal esterase in the brain. For this purpose, lipophilic 3-acetoxymethoxycarbonyl-2,2,5,5-tetramethylpyrrolidine-1-oxyl was prepared and compared with MCP. Brain redox EPR imaging revealed that these two probes each detect a different redox status according to the antioxidant levels in the brain.

4645
Booth 7
Design and construction of a volume Tx coil and conformal Rx array for simultaneous squirrel monkey brain and spinal cord imaging at 9.4 T
Ming Lu1, Zhangyan Yang2,3, Feng Wang2,4, Gary Drake2,4, Li Min Chen2,4, John Gore2,3,4, and Xinqiang Yan2,4

1College of nuclear equipment and nuclear engineering, Yantai University, Yantai, China, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States

Simultaneous imaging of brain and spinal cord regions potentially provides valuable information about how they work together and interact. However, to date, almost all studies have investigated these two highly interconnected systems separately, mainly because of a lack of adequate imaging coils. We designed a volume Tx and conformal receive array dedicated to simultaneous imaging of squirrel monkey brain and spinal cord at 9.4 T. The coil exhibits excellent SNR in both brain and spinal cord areas and can be used for studies investigating how the brain and spinal cord work together.

4646
Booth 8
Design and Construction of an 8-channel transceiver coil array for Rat imaging at 9.4T
Feng Du1,2, Nan Li1,2, Xing Yang1,2, Baogui Zhang3, Xiaoliang Zhang4, Xin Liu1,2, Hairong Zheng1,2, and Ye Li1,2

1Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen, China, 3Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 4Department of Biomedical Engineering, State University of New York, Buffalo, NY, United States

The development of RF coils for the ultrahigh-field(UHF) MRI system is greatly significant for biomedical research as it determines imaging performance. In this work,an 8-channel transceiver array was designed and constructed for UHF MRI at 9.4 T to take full advantage of the benefits provided by higher field strengths. The phantom and in vivo studies were performed on  preclinical 9.4 T MRI system to verify the proposed tansceiver performance. The results proved the ability of the proposed 8-channel transceiver array to obtain high signal-to-noise ratio (SNR) and high-spatial resolution MR images at 9.4T and indicated the potentiality for UHF MRIapplications.

4647
Booth 9
Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study
Ying-Chieh Lai1,2, Ching-Yi Hsieh2,3,4, Kuan-Ying Lu1,2, Albert P Chen5, Shu-Hang Ng1,4, Fang-Hsin Chen4,6, and Gigin Lin1,2,3,4

1Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan, Taoyuan, Taiwan, 2Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, Taoyuan, Taiwan, 3Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan, Taoyuan, Taiwan, 4Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, Taoyuan, Taiwan, 5GE Healthcare, Toronto, ON, Canada, Toronto, ON, Canada, 6Radiation Biology Research Center, Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan, Taoyuan, Taiwan

Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. The present study demonstrates the potential for monitoring early metabolic alterations in both cancer and immune cells following radiation treatment by using hyperpolarized 13C-MRI. We demonstrated that cancer cells (human FaDu squamous carcinoma) and immune cells (HMC3 microglial cells and THP-1 monocytes) had distinct metabolic responses to ionizing radiation. Western blot analysis confirmed the similar trends in LDHA and LDHB expression levels. We furthered the knowledge of metabolic alterations resulting from not only cancer cells but also immune cells in the tumor microenvironment.

4648
Booth 10
Influence of gadoxetate disodium to the liver fat fraction quantified with Dixon sequences in rabbits
Zhe Huang1, Yu Jiang#1, Xia Wang#1, Sheng Zhang#1, Heng Li#1, and Dong Yue Han*1

1Department of Radiology, Xi’an GaoXin Hospital, Xi’an Jiao Tong University, Xi’an, China

A study was carried out on the effect of Gadoxetate disodium (Gx) on the accuracy of liver fat content determined by 2-echos and 6-echos VIBE Dixon in rabbits with nonalcoholic fatty liver disease in hepatobiliary specific phase. Proton density fat-fraction (PDFF) before and 13min. and 17min. after Gx enhancement had strong correlation with that of histopathology (r22E= 0.7643-0.8014 vs. r26E= 0.8208-0.8536). PDFF measured by 6E-VIBE Dixon was stable and reliable, especially for that before Gx enhancement(r26E= 0.8536). PDFF measured by 2E-VIBE Dixon fluctuated to some extent, however, it could be effectively corrected in the specific hepatobiliary phase after Gx enhancement.

4649
Booth 11
IVIM and DCE MRI to early detect hepatic injury and microcirculation alteration induced by intestinal ischemia reperfusion in a rat model
jiaxing yang1, Weiqiang Dou2, changjie pan3, and haifeng shi3

1Radiology, The Affiliated ChangzhouNo.2 People's Hospital of Nanjing Medical University, Changzhou, China, 2MR Research China, Beijing, China, 3The Affiliated ChangzhouNo.2 People's Hospital of Nanjing Medical University, Changzhou, China

This study demonstrated that intravoxel incoherent motion (IVIM) and dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) can effectively estimate hepatic pathophysiological processes in a rat model with intestinal ischemia reperfusion (IIR) induced hepatic injury. The changes in microcirculation and perfusion were considered the major factors of IIR-induced hepatic injury. IVIM derived parameters of f and D* as well as DCE related parameter of Ve and Ktrans revealed high sensitivity to histological change, implying that IVIM and DCE-MRI might be an effective tool to evaluate the process of IIR-induced hepatic injury.

4650
Booth 12
Intravoxel incoherent motion magnetic resonance imaging for the early detection of renal cold ischemia–reperfusion injury in a rat model
Yan Ren1 and Wen Shen1

1Tianjin First Central Hospital, Tianjin, China

The study evaluated the use of Intravoxel Incoherent Motion (IVIM) imaging to detect dynamic changes in renal microvascular characteristics during cold ischemia-reperfusion injuries (CIRIs). As previous studies have investigated warm ischemia-reperfusion injuries, we aimed to assess MR diffusion imaging in a renal CIRI Sprague Dawley rat model. Results showed that IVIM imaging is a sensitive tool to monitor changes in renal functional characteristics.

4651
Booth 13
Detection of early metastatic lymph nodes using inflow-based vascular-space-occupancy (iVASO) MR imaging
Yuankui Wu1, Liuji Guo1, Jun Hua2,3, Xiaomin Liu1, Yikai Xu1, and Kan Deng4

1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Neurosection, Division of MRI Research, Department of Radiology,, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4Philips Healthcare, Guangzhou, China

Accurate preoperative evaluation of lymph nodes (LNs) involvement is of vital importance for clinical decisions and optimizing individual treatment regimens. Related studies showed elevated perfusion at the level of capillary in metastatic LNs. Inflow-based vascular space occupancy (iVASO) is a novel and noninvasive perfusion technology that can provide absolute blood volume of precapillary arterioles (arteriolar blood volume, BVa). In this study, the potential value of BVa in detecting metastatic LNs was investigated. The results showed that the BVa might have the potential to detect early metastases within lymph nodes.

4652
Booth 14
Whole-brain mouse fMRI combined with cortex-wide patterned optogenetic stimulation
Hyun Seok Moon1,2,3, Seonghoon Kim1,4, Thanh Tan Vo1,2,3, Geun Ho Im1, Myunghwan Choi1,4, and Seong-Gi Kim1,2,3

1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 4School of Biological Sciences, Seoul National University, Seoul, Korea, Republic of

Cortex-wide, spatial-patterned optogenetic mouse fMRI with online stimulation planning in situ.

4653
Booth 15
Tales of Two Environments: Enriched Mice show Stronger Sensory Evoked BOLD fMRI Responses, while Socially Isolated Ones Respond Less
Taekwan Lee1, Taeyi You2,3, Geun Ho Im3, Seong-Gi Kim2,3,4, Sungkwon Chung5, and Jung Hee Lee2,3,6

1Korea Brain Research Institute, Daegu, Korea, Republic of, 2Biomedical Engineering, Sungkyungkwan University, Suwon, Korea, Republic of, 3Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 4Intelligent Precision Healthcare Convergence, Sungkyungkwan University, Suwon, Korea, Republic of, 5Physiology, Sungkyunkwan University, Suwon, Korea, Republic of, 6Radiology, Sungkyungkwan University, Suwon, Korea, Republic of

It is well known environmental factors can affect brain plasticity in humans, yet finding strong correlative factors is difficult due to the long development and complexity of human research. Mouse enrichment studies allows for better controlled research and by combining it with fMRI, makes mapping brain-wide plasticity changes possible. Here, we treated mice into three groups of enrichment, standard caging, and isolated caging to see how their brain responds to multiple-sensory stimulations. We found the enrichment group responded stronger in multimodal midbrain and thalamic areas. The isolated group responded less suggesting mouse fMRI is viable in detecting plasticity changes.  


Diagnosis of Liver & Kidney Disease

Gather.town Space: North West
Room: 3
Thursday 9:15 - 11:15
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

4654
Booth 1
Distinction of compensated stage of liver cirrhosis in patients with chronic hepatitis B using IDEAL-IQ Magnetic Resonance Imaging
Hongyi Li1, Huang lesheng1, Jun Chen1, Weiyin Vivian Liu 2, Jinghua Jiang1, Kaili Cai1, Tianzhu Liu1, Wanchun Zhang1, Jiahui Tang1, Kailian Yang1, Se Peng3, and Dan Li4

1Radiology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China, 2MR Research, GE Healthcare, Beijing, China, 3Clinical Lab, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China, 4Hepatology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, China

The purpose was to evaluate the feasibility of IDEAL-IQ in distinction of patients with early liver cirrhosis(compensated stage). Sixty CHB patients with compensated cirrhosis conformed by liver biopsy and twenty healthy controls were recruited. FF and R2* of IDEAL-IQ sequence were analyzed between CHB compensated cirrhosis patients and volunteers. Correlations between FF and R2* and ALT, INR values were analyzed in CHB patients with compensated cirrhosis. R2* was statistically different between compensated cirrhosis patients and volunteers (p<0.01) with AUC of 0.726. The correlations between FF and ALT, INR were both fair(0.268, p=0.03 and -0.351, p<0.01).

4655
Booth 2
Staging liver fibrosis through a machine learning model built from radiomics features of T2WI images
nannan shi1, jianqing sun2, Fei Shan1, Yiying qin1, Zecheng yang1, Weibo chen3, and yuxin shi1

1Shanghai Public Health Clinical Center, Fudan University, shanghai, China, 2Shanghai United Imaging Research Institute of Intelligent Imaging, shanghai, China, 3Philips Healthcare, shanghai, China

To further develop and validate a radiomics-based model from liver T2WI images for staging liver fibrosis.

4656
Booth 3
Quantitative T1 and R2* mapping in the evaluation of renal function for diabetic nephropathy patients
Huijian Lu1, Hongmei Gu1, Fangfang Shang1, Li Yuan1, Xinquan Wang1, Weiqiang Dou2, and Weiyin Vivian Liu2

1Affiliated Hospital of Nantong University, Nantong, China, 2MR Research, GE Healthcare, Beijing, China

Renal T1 and R2* mapping were performed on 55 diabetic nephropathy (DN) patients , 20 healthy volunteers(HVs)and 10 diabetes mellitus (DM) patients to explore the clinical potential in assessing renal function. While comparable T1 and R2* values of renal cortex were found between HVs and DM patients, DN patients showed significantly increased T1 and R2* values of renal cortex relative to HVs and DM patients. Both T1 and R2*metrics were also significantly correlated with renal function. Therefore, quantitative T1 and R2* mapping might be considered effective measures in evaluating renal function for DN patients.

4657
Booth 4
Can extracellular volume fraction assess liver fibrosis? A preliminary Gd-EOB-DTPA-enhanced MRI study
Pin Yang1, YanLi Jiang1, Jie Zou1, Miao Chang1, Jing Zhang1, and Kai Ai2

1Department of Magnetic Resonance, LanZhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi’an, China

This study evaluates the feasibility of extracellular volume fraction (ECV) in judging liver fibrosis, analyzes the interaction between ECV and liver function.The method is to calculate ECV in different degrees of liver function and compare the correlation between ECV and serum albumin. Our research shows that ECV20min had no significant difference among Child-Pugh A, Child-Pugh B and Child-Pugh C, there was a weak correlation with serum albumin. Therefore, we consider that ECV of hepatobiliary phase will not be affected by liver function when Gd-EOB-DTPA is used to evaluate liver fibrosis, it may be a reliable tool in assessing liver fibrosis.

4658
Booth 5
Noninvasive Assessment of Chronic Hepatitis B with Different Courses or Liver Cirrhosis Patients Receiving Interferon Therapy Using T1ρ Mapping
Yufei Zhao1 and Xingui Peng1

1Southeast University, Nanjing, China

The staging of chronic hepatitis B mainly relies on invasive pathological biopsy, interferon treatment can reduce the risk of deterioration. 93 patients were divided into three groups: mild, moderate, severe or liver cirrhosis according to histopathology and received T1ρ magnetic resonance liver scan before and after interferon treatment. With the aggravation of chronic hepatitis B, T1ρ relaxation time gradually increased, but it decreased significantly after treatment, which is linearly correlated with the level of ALT and AST. T1ρ magnetic resonance can non-invasively assess the severity of the chronic hepatitis B and monitor the improvement of fibrosis after receiving treatment dynamically.

4659
Booth 6
Deep Learning Reconstruction for Abdomen Diagnosis: Improvement of Image Quality and Diagnostic Performance
Po-Ting Chen1,2, Cheng-Ya Yeh2, Yi-Chen Chen2, Chia-Wei Li3, Charng-Chyi Shieh3, Chien-Yuan Lin3, and Kao-Lang Liu1,2

1Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, 2Department of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan, 3GE Healthcare, Taipei, Taiwan

There has been no study that demonstrated the quality improvement in abdomen images by DLrecon. We evaluate the image quality comparison, included SNR, CNR, and clinical scoring, between DL and non-DL abdomen images. DLrecon are found to be less artefacts, higher SNR, CNR, and clinical scores than those on non-DL images. This study proves the improvement of image quality by DLrecon, and DLrecon shows its potential power in clinical diagnosis of abdomen images to overcome classical MRI trade-off resolution, SNR, and scan time.

4660
Booth 7
Detection of Early Cirrhosis by Means of Curvature Analysis of Liver Surface Nodularity in MRI
Wang Nan1,2,3, Huang Jisui2, Song Qingwei1, Chen Lihua1, Lei Na3, and Liu Ailian1

1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Capital Normal University, Beijing, China, 3Dalian University of Technology, Dalian, China

The normal liver is affected by various pathogenic factors, resulting in liver fibrosis, progressive disease, false lobule formation and cirrhosis. Liver cirrhosis will be accompanied by morphological changes of liver. Literature studies have shown that liver surface nodularity can be used to evaluate the progress of liver cirrhosis and predict the stage of liver cirrhosis. The method of curvature analysis of liver surface nodules adopted by our team is feasible and can be used to evaluate early cirrhosis.

4661
Booth 8
Correlation analysis between quantitative parameters of mDIXON-Quant sequence and liver function in patients with liver cirrhosis
Wang Nan1, Lihua Chen1, Qingwei Song1, Jiazheng Wang2, Zhigang Wu2, and Liu Ailian3

1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China, 3the First Affiliated Hospital of Dalian Medical University, Dalian, China

Evaluation of liver reserve function is crucial for patients with cirrhosis and is helpful for the determination of the surgical plan formulation, the evaluation of treatment process and prognosis, and the operation of cirrhosis. However, there is still lacking a clinically useable non-invasive technique to measure the abnormality of liver function. The purpose of this study is to investigate the potential correlation between Fat Fraction (FF), R2* and liver function indexes in patients with cirrhosis using mDIXON-Quant sequence. We found that there was a moderate correlation between R2* value and liver function assay indexes in liver cirrhosis.

4662
Booth 9
Repeatability and reliability of intravoxel incoherent motion derived parameters in evaluation of liver heterogeneity
Tianzhu Liu1, Weiyin Vivian Liu2, Jun Chen1, Lesheng Huang1, Hongyi Li1, Jinghua Jiang1, Kaili Cai1, Jiahui Tang1, Wanchun Zhang1, Kailian Yang1, Guangjun Tian3, Meng Hu3, Se Peng4, Dong Zhang3, Dong Zhang3, Dan Li3, and Yongxiang Zhuo3

1Radiology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, Zhuhai, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China, 3Hepatology, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, Zhuhai, China, 4Laboratory, Guangdong Hospital of Traditional Chinese Medicine, Zhuhai, Zhuhai, China

This study aimed to investigate the repeatability and reliability of IVIM derived parameters in evaluation of liver heterogeneity. Patients with early liver fibrosis and healthy subjects were recruited and underwent MRI using respiratory triggered SS-DWI with 12 b values and an IDEAL-IQ sequence. Two readers independently analyzed liver segment data using mono-exponential, bi-exponential and stretched exponential models. CVs and ICCs were calculated before and after the exclusion of subjects with potential liver fat deposition. ADC, D and α measurements of right liver lobe were satisfactorily repeatable, regardless of fat deposition. Segment-VII and -VIII values may be more repeatable and reliable.

4663
Booth 10
Radiomics Analysis of Multi-sequence MR Imaging for Staging Liver Fibrosis and Hepatitis Activity of Chronic Hepatitis B
Aina HUANG1, Jian LU1, Tao ZHANG1, Xueqin ZHANG1, Shuangshuang LU2, and Xiance ZHAO3

1Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China, 2Affiliated Hospital of Nantong University, Nantong,Jiangsu, China, 3Philips Healthcare, Shanghai, China

Synopsis: The purpose of this study was to explore the evaluation value of liver fibrosis staging and hepatitis activity of chronic hepatitis B based on multi-sequence MRI radiomics model. Unenhanced T2WI, T1WI and Gd-EOB-DTPA enhanced T1WI, including AP, PP, TP and HBP, were acquired. And a multi-sequence MRI radiomics model were built. We used receiver operating characteristic (ROC) curves for the diagnostic performance of each sequence and the combination of these six sequences in the training set and validated with the validation set. The models combined with six sequences performed the best. 

4664
Booth 11
Evaluation of T1 and R2* Mapping in Diagnosis of Chronic Kidney Disease
Yue Wang1, Ye Ju1, Liangjie Lin2, and Ailian Liu1

1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China

Chronic kidney disease (CKD), which has shown increased incidence  gradually, is prevalent worldwide and occurs in conjunction with cardiovascular disease and diabetes. Purpose of this study is to evaluate the value of quantitative T1 and R2* mapping in diagnosis of CKD. Results showed that renal cortex R2* and T1 values can be used to distinguish mild CKD from healthy volunteers, and the combination of them can improve the diagnostic efficiency. Cortex R2*, cortex T1, and medulla T1 values can be used to distinguish mild from severe CKD, and the diagnostic efficiency was also significantly improved by using their combination.

4665
Booth 12
Radiomics Analysis Based on IVIM-DWI for Early Assessment of Transplanted Kidney Dysfunction
Xiaodong Liu1, Lihua Chen1, Wen Shen1, Kun Zhang1, Xiaodong Ji1, Robert Grimm2, and Jinxia Zhu3

1Department of Radiology, Tianjin First Central Hospital, Tianjin, China, 2MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China

This study investigated the feasibility of predicting early renal function impairment after renal transplantation based on an intravoxel incoherent motion imaging (IVIM)diffusion weighted imaging (DWI)radiomics model. For noninvasive detection of kidney function impairment at an early stage, IVIM-DWI applies a bi-exponential model to evaluate both capillary perfusion and tissue diffusion. The overall accuracy of the radiomics model was 79.3%, with 73.3% sensitivity and 85.7% specificity in distinguishing renal function impairment after renal transplantation. These results demonstrate the potential of a radiomics model for a reliable non-invasive diagnosis of renal transplant function.

4666
Booth 13
Predict MGMT promoter methylation and P53 gene status of glioma based on ADC Histogram Analysis
Huan Zhao1, Yan Bai1, Xianchang Zhang2, and Meiyun Wang1

1Henan Provincial People's Hospital, Zhengzhou, China, 2MR Collaboration,Siemens Healthineers Ltd., Beijing, China

Conventional MRI is limited in reflecting tumor genetic status. This study used the parameters derived from histogram analysis of apparent diffusion coefficient(ADC) maps in glioma lesion to predict the MGMT and P53 gene status. We found the ADC histogram derived parameters are significantly higher in MGHT-methylated and P53 wild group. ROC analysis revealed these parameters have high sensitivity to differentiate the MGHT-methylated/-unmethylated or P53 wild/ mutant gliomas. These findings suggest ADC histogram could be a good candidate for predicting MGMT promoter methylation and P53 gene status in gliomas.

4667
Booth 14
Comparison of TGSE-BLADE, RESOLVE and SS-EPI for diffusion weighted imaging after cerebral aneurysmal clipping
Sachi Okuchi1, Yasutaka Fushimi1, Satoshi Nakajima1, Akihiko Sakata1, Takuya Hinoda1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Satoshi Ikeda1, Kun Zhou2, and Yuji Nakamoto1

1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China

TGSE-BLADE DWI has been reported to reduce geometric distortion and susceptibility artifacts. However, it is unknown whether it reduces the clip-induced artifacts and improves image quality in patients after cerebral aneurysmal clipping. We compared the distortion and the artifacts between SS-EPI, RESOLVE, and TGSE-BLADE DWI in healthy volunteers and patients with a cerebral aneurysmal clip. TGSE-BLADE DWI has the best image quality regarding distortion and artifacts, especially at air-bone interfaces and near metal clips, which suggests that TGSE-BLADE DWI is a promising method for evaluating lesions at air-bone interfaces and scanning the patients with a clip.


Preclinical Imaging IV

Gather.town Space: North West
Room: 2
Thursday 9:15 - 11:15
Clinical & Preclinical
Module : Module 13: Preclinical Imaging

4668
Booth 1
Optogenetically-evoked Brain-wide Spindles Alleviate Associative Memory Dysfunction in Aging Animal
Xunda Wang1,2, Alex T. L. Leong1,2, Pit Shan Chong3, Lee-Wei Lim3, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

Memory consolidation, the ability to transform new memory into long-term knowledge, declines with age. Impairment of thalamo-cortical spindle activities at systems level has been proposed as a mechanism underlying such memory dysfunction. However, it remains unknown whether targeted neuromodulation of spindle activities can arrest decline of memory consolidation functions in aging brains. Here, we demonstrate in an accelerated aging animal model that optogenetically-evoked spindle activities from the somatosensory thalamus alleviate associative memory consolidation dysfunction through potentiating brain-wide sensorimotor and limbic regions. Our work provides valuable insights into the therapeutic implications of targeted spindle manipulation to rescue age-related memory consolidation declines. 

4669
Booth 2
Feasibility of non-invasive IDEAL-IQ MR imaging in assessment the correlation of fat fraction and hepatosomatic index in two in vivo fish species
Dong Liu1, lei pan2, Weixin Vivian Liu3, and Wenzhen Zhu4

1Department of Radiology, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, wuhan, China, 2Faculty of Resources and Environmental Science, Hubei University, wuhan, China, 3GE Healthcare, beijing, China, 4Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Fish is widely consumed as one of the main sources of animal food and plays a key role in the ecological processes in aquatic ecosystems. Of particular importance to assess the effects of aquatic pollution on the development and health of fish are organ somatic indices (HSI) and physiological indices (e.g. lipid deposition). Traditional assessment of somatic indices and lipid deposition is invasive and required to sacrifice examined animals. The present study was designed to assess HSI and lipid deposition in intraperitoneal tissues and livers of two fish species using a rapid, accurate and noninvasive magnetic resonance imaging  method.

4670
Booth 3
The protective effect of silymarin on TAA-induced liver injury model as assessed by MRI for a long-term follow-up study
Yeon ji Chae1, Hwon Heo1, Chul-Woong Woo2, Sang-Tae Kim2, Jae-Im Kwon2, Monica Young Choi1, Yoonseok Choi3, and Dong-Cheol Woo1,2

1Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 2Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 3Medical Research Institute, Gangneung Asan Hospital, Gangneung-si, Gangwon-do, Korea, Republic of

Our study aims to monitor the protective effects of silymarin with multi-parametric MRI follow-ups and pathological markers in a TAA-induced liver injury rat model. Moreover, correlations between the MR values and serological markers were analyzed to interpret MR values as indicators of liver functions.

4671
Booth 4
Assessment of intra-tumoral heterogeneity of prostate cancer using Intravoxel Incoherent Motion (IVIM)
Sirisha Tadimalla1, Yu-Feng Wang1, Yu Sun1, Jonathan Goodwin2, Robba Rai3,4,5, Sheryl Foster6,7, and Annette Haworth1

1Institute of Medical Physics, The University of Sydney, Sydney, Australia, 2Department of Radiation Oncology, Calvary Mater Hospital, Waratah, Australia, 3South Western Sydney Clinical School, University of New South Wales, Sydney, Australia, 4Liverpool and Macarthur Cancer Therapy Centre, Liverpool, Australia, 5Ingham Institute of Applied Medical Research, Liverpool, Australia, 6Faculty of Medicine and Health, The University of Sydney, Sydney, Australia, 7Department of Radiology, Westmead Hospital, Westmead, Australia

Mapping the intra-tumoral heterogeneity of perfusion before and after treatment offers the opportunity to identify hypoxic regions in the tumour and predict recurrent disease. Intravoxel Incoherent Motion (IVIM) parametric maps were obtained in patients with prostate cancer before and after radiation therapy. IVIM shows potential for the assessment of intra-tumoral heterogeneity of perfusion in prostate cancer.

4672
Booth 5
High Temporal and Spatial Pulmonary Dynamic Ventilation Imaging Using Hyperpolarized 129Xe MRI
Hongchuang Li1, Haidong Li1, Ming Zhang1, Xiaoling Liu1, Xiuchao Zhao1, Yeqing Han1, Xianping Sun1, Chaohui Ye1, and Xin Zhou1

1Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences- Wuhan National Laboratory for Optoelectronics, Wuhan, China

The mutual restriction of temporal resolution and spatial resolution is a challenge for hyperpolarized gas dynamic MRI. Herein, we proposed a method to enhance the temporal resolution of pulmonary dynamic ventilation imaging without spatial resolution loss using hyperpolarized 129Xe MRI. Furthermore, compressed sensing undersampling technique was used to accelerate the MRI data acquisition. 

4673
Booth 6
Investigation of Pulmonary Physiological Compensatory Mechanism with Hyperpolarized 129Xe MR
Xiaoling Liu1, Haidong Li1, Hongchuang Li1, Ming Zhang1, Xiuchao Zhao1, Yu Zheng1, Ming Luo1, Yecheng Li1, Xianping Sun1, Yeqing Han1, Chaohui Ye1, and Xin Zhou1

1Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences- Wuhan National Laboratory for Optoelectronics, Wuhan, China

In this study, we tried to use hyperpolarized (HP) 129Xe MR to explore pulmonary physiological compensatory mechanisms. With the increased Xe washout times, obvious changes of chemical shift, FWHM, RBC oscillation amplitude and the parameters extracted from MOXE model could be found. Our study demonstrates the feasibility of HP 129Xe MR for assessing pulmonary compensatory capacity, which would be helpful for understanding lung function changes caused by pulmonary diseases and early diagnosis.

4674
Booth 7
Optogenetic fMRI investigation of the anterior cingulate cortex in pain processing
Taeyi You1,2, Jeong-Yun Lee2, Choong-Hee Lee2, Geun Ho Im2, Heewon Seo2, Choong-Wan Woo1,2,3, and Seong-Gi Kim1,2,3

1Biomedical Engineering, Sungkyungkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 3Intelligent Precision Healthcare Convergence, Sungkyungkwan University, Suwon, Korea, Republic of

Pain involves a multidimension network of brain circuits related to both somatosensation and cognitive-motivational dimension. Mouse fMRI allows for the in-vivo brain-wide functional mapping that can help explore the pain circuits at a systems level. We utilized transgenic mice in which we suppressed the anterior cingulate cortex (ACC) with optogenetics to better understand its role in pain. Our behavior and fMRI results show that the ACC is involved in the cognitive-motivational dimension of pain, but not in the sensation of pain. In addition, we detected other brain regions as potential targets related to pain hypersensitivity with fMRI.

4675
Booth 8
Evidence for nigral neuromelanin abnormalities in rat brain in the methamphetamine addiction assessed by neuromelanin-sensitive MRI
Fei Tang1, Jun Liu1, Yongming Dai2, Liyun Zheng2, Xiaojie Zhang1, Huihui Zheng1, Wenhan Yang1, and Yanyao Du1

1The Second Xiangya Hospital of Central South University, Changsha, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

NM-MRI is a newly developed magnetic resonance imaging technique, which indirectly measures dopamine synthesis and demonstrate neuromelanin-related contrast. In this study, ten rats with acute methamphetamine exposure underwent a NM-MRI scan at different time points. The NM-MRI data of four brain regions were measured and compared. The results showed significantly higher NM-MRI signal in substantia nigra compared to other brain regions, and the NM-MRI signal gradually increased over time in almost all measured brain regions. These findings demonstrated the potential of NM-MRI as biomarker and the predictive value of NM-MRI for dopamine function.

4676
Booth 9
Longitudinal dynamic changes in DTI metrics after repetitive mild traumatic brain injury with different intervals
Ching Cheng1, Chia-Feng Lu1, Bao-Yu Hsieh2, and Yu-Chieh Jill Kao1

1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming Chiao-Tung University, Taipei, Taiwan, 2Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang-Gung University, Taoyuan, Taiwan

Long-term effects of repetitive mild traumatic brain injury (rmTBI) with the short versus long interinjury interval were explored using quantitative DTI and immunohistological staining. Significant changes in DTI metrics under the impact site and the lateral part of white matter in the ipsilesional brain after rmTBI may suggest the exacerbated microstructural damage induced by repetitive injury with the short interval.

4677
Booth 10
HPA hyperactivity leads to time dependent alterations in serum metabolomics and inflammatory profile of closed head injured rats
Palkin Arora1, Richa Trivedi1, Kavita Singh1,2, and Megha Kumari1

1RNAIS, INMAS-DRDO, New Delhi, India, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States

Closed head injury (CHI) can lead to both neurological disabilities and systemic alterations through HPA axis activation. A dysregulated HPA function allows relocation of energy substrates and alterations in metabolic pathways and systemic inflammation. Assessment of time-dependent changes in serum metabolites and inflammatory markers showed unique pattern between mild and moderate injured rats. These alterations were found to be associated with HPA hyperactivity with increased serum corticosterone levels and hypothalamic microglial activation post mild and moderate TBI. The study suggests an important relation between HPA axis induced changes in systemic metabolomics.

4678
Booth 11
Correlation of metabolomics of intestinal mucosal biopsies with enzyme and secretory activity of duodenal enterocytes in celiac disease
Uma Sharma1, Deepti Upadhyay1, Ritu Tyagi1, Prasenjit Das2, and Govind Makharia3

1Department of NMR, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 2Department of Pathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 3Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences (AIIMS), New Delhi, India

The present study revealed a correlation of metabolic activity of intestinal mucosa with enzymatic, secretory, and functional activity in patients with celiac disease (CeD). Significantly lower concentrations of choline, GPC, and histidine were observed patients along with the significantly lower expression of villin in both villi and crypt of the CeD compared to disease controls (DC) controls. Higher expression of Mucin 3 in the crypt of the CeD was seen. A significant correlation between expression of villin, mucin and metabolites GPC and histidine provided an insight into underlying biochemical and functional mechanism of mucosal damage in CeD.

4679
Booth 12
A preliminary study of real-time imaging for MR guided vascular intervention and image quality assessment
kunkun liu1,2, Weibin Dai1, Yueyou Peng1, Tianfeng Shi1,2, Tingting Liu1,3, Ningning Song1,3, Yueluan Jiang4, Yunhui Kang5, and Yanfeng Meng1

1MR, Taiyuan Central Hospital of Shanxi Medical University, Shanxi, China, 2Physiology, Shanxi Medical University, Shanxi, China, 3Medical Imaging, Shanxi Medical University, Shanxi, China, 4MR Scientific Marketing, Siemens Healthineers, Beijing, China, 5MR Customer Application Specialist, Siemens Healthineers Digital Technology (Shanghai) Co. Ltd., Beijing, China

This study conducted a preliminary phantom study of MRI-guided vascular intervention, and evaluated the image quality of MR real-time sequences for MR compatible guidewire and balloon imaging with a 3D printed aorta phantom in a 3T MRI scanner. The results showed that the two real-time imaging sequences have sufficient guiding ability to guide the guidewire and balloon to the expected position. After comprehensive evaluation, it was concluded that the FLASH sequence was better than the True FISP sequence.


Clinical Brain Imaging, Including COVID-19

Gather.town Space: South West
Room: 4
Thursday 17:00 - 19:00
Clinical & Preclinical
Module : Module 4: Clinical Diagnosis & Treatment

4954
Booth 1
Structural covariance of diffusion metrics in mild COVID19: Spatially coherent effect on fractional anisotropy but not free water.
Nick Teller1, Jordan A. Chad1,2, Eugenie Roudaia1, Ali Hashemi3, Haddas Grosbein1, Asaf Gilboa1,2, Maged Goubran2,4, Ivy Cheng2,4, Sandra E. Black2,4, Robert Fowler2,4, Chris Heyn2,4, Fuqiang Gao4, Mario Masellis2,4, Jennifer Rabin2,4, Xiang Ji4, Aravinthan Jegatheesan2,4, Benjamin Lam2,4, Allison B. Sekuler1,2,3, Bradley J. MacIntosh2,4, Simon J. Graham2,4, and J. Jean Chen1,2

1Rotman Research Institute, North York, ON, Canada, 2University of Toronto, Toronto, ON, Canada, 3Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada, 4Sunnybrook Research Institute, Toronto, ON, Canada

The impact of COVID19 on the brain’s microstructural integrity remains unclear.  In this study, we examine self-isolated COVID19 patients and controls using diffusion-tensor and free-water imaging, based on single- and multi-shell acquisitions, respectively. We identify several differences in spatial covariance among patients in fractional anisotropy (in cingulate-frontal and temporal-parietal regions), but not free water fraction. Our results indicate COVID19’s implications in long-term, measurable brain deficits.

4955
Booth 2
Lower functional connectivity in areas of reduced cerebrovascular reactivity in elderly patients with long COVID
Alexander D. Cohen1, Laura Umfleet2, Malgorzata Franczak2, Sara Swanson2, Jessica Pommy2, Mohit Agarwal2, Baolian Yang3, Suchandrima Banerjee3, and Yang Wang1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Medical College of Wisconsin, Milwaukee, WI, United States, 3GE Healthcare, Waukesha, WI, United States

Patients suffering from long COVID report cognitive symptoms months after disease onset, which may be related to neurovascular changes. Here, we evaluated functional connectivity in long COVID elderly patients and control subjects using a region of lower cerebrovascular reactivity (CVR) as the seed. We found significantly lower connectivity in long COVID patients that was widespread potentially linking alterations in CVR to functional connectivity and reduced cognitive ability in long COVID patients.

4956
Booth 3
COVID-19 as an Opportunity for Quality Improvement in MR Neuro Imaging.
Emanuele Camerucci1, Jose Thulasee1, Matthew Bernstein1, Steven Messina1, Peter Kollasch1, and John Huston1

1Mayo Clinic, Rochester, MN, United States

We took advantage of the COVID-19-related decrease in clinical volume to conduct a quality improvement project; we established a panel of 24 experts for reviewing currently used brain MRI sequences and proposing ways to improve image quality and/or decrease acquisition time. The proposed sequences were integrated in existing protocols and compared with the standard ones. We were able to improve 14 of the most used brain MRI sequences with an equal or improved image quality and reduced acquisition time. Hence, we were able to reduce the acquisition time of our Brain protocol and Epilepsy protocol by 29.2% and 40%, respectively.

4957
Booth 4
Assessing redox changes induced by treatment with pharmacological ascorbate in glioblastoma using T2* and QSM
Chu-Yu Lee1, Michael S Petronek2, Cameron M Cushing3, Garry R Buettner2, Joel J St-Aubin2, Varun Monga4, John M Buatti2, Joseph J Cullen5, Douglas R Spitz2, Bryan G Allen2, and Vincent A Magnotta1

1Department of Radiology, The University of Iowa, Iowa City, IA, United States, 2Department of Radiation Oncology, Free Radical and Radiation Biology Program, The University of Iowa, Iowa City, IA, United States, 3Skope Magnetic Resonance Technologies AG, Zurich, Switzerland, 4Department of Internal Medicine, The University of Iowa, Iowa City, IA, United States, 5Department of Surgery, The University of Iowa, Iowa City, IA, United States

Pharmacological ascorbate (P-AscH-), as an adjuvant to standard treatment for glioblastoma, may selectively enhance cancer cell killing. The mechanisms of P-AscH- have been associated with redox changes in the labile iron pool. This study applies T2* and QSM to assess the redox changes in 40 glioblastoma patients receiving standard treatment and adjuvant P-AscH-. The results demonstrate an increase in T2* values and a decrease in QSM values within contrast-enhancing lesions 1 hour after P-AscH- infusion. These changes in T2* and QSM may result from the redox changes by P-AscH-, supporting the potential for imaging assessment of response to P-AscH-.

4958
Booth 5
Intranasal Insulin Enhances Resting Neurovascular Fluctuations in Type 2 Diabetes
Zongpai Zhang1, Faizan Khan2, Peter Novak2, Christos Mantzoros3, Long Ngo3, Vera Novak2, and Weiying Dai1

1State University of New York at Binghamton, Binghamton, NY, United States, 2Department of Neurology, Harvard Medical School, Boston, ME, United States, 3Department of Medicine, Harvard Medical School, Boston, ME, United States

We aimed to investigate the effect of intranasal insulin (INI) on cognition, balance, and brain neurovascular activity in type 2 diabetes mellitus (T2DM) participants of the MemAID trial. Cognition, balance, and brain neurovascular fluctuations - amplitude of low-frequency fluctuations (ALFF) were measured in 11 subjects before and after 24-week treatment with INI or placebo. INI treatment significantly increased ALFF in the medial-frontal region. The ALFF increases at the end-of INI treatment were associated with improved balance. These findings suggest that INI may increase brain neurovascular activity in T2DM in the regions related to balance control and sustained attention.

4959
Booth 6
Association of White Matter Integrity of Locus Coeruleus Pathways to Hypothalamus and Sleep Apnea in Military Mild Traumatic Brain Injury
Ping-Hong Yeh1, J. Kent Werner, Jr2,3, Chihwa Song1, Rujirutana Srikanchana1, Wei Liu1, Kimbra Kenney1,2, Treven Pickett1,2, Grant Bonavia1,2, Gerard Riedy1,2, and John Ollinger1

1National Intrepid Center of Excellence, Bethesda, MD, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Walter Reed National Military Medical Center, Bethesda, MD, United States

Sleep disturbances are common following traumatic brain injury (TBI). The intent of this study is to characterize the role of the noradrenergic locus coeruleus (LC) for sleep maintenance in service members following mild TBI by associating microstructural features, derived from diffusion MRI, of the LC–noradrenergic (NA) system with objective sleep measures. We found that severity of sleep apnea, particularly in rapid eye movement stage during sleep, significantly correlated with microstructural changes in the LC pathways to hypothalamus in mTBI participants. This result suggests sleep apnea following mild TBI may be modulated by sympathetic activity via pathways interconnecting LC and hypothalamus.

4960
Booth 7
Evidence of meningeal inflammation in multiple sclerosis: a combined in vivo 11C-PBR28 MR-PET and post-mortem study
Elena Herranz1,2, Valeria Barletta1,2, Constantina A. Treaba1,2, Ambica Mehendiratta1, Russell Ouellette1,3,4, Eric Klawiter5,6, Jacob Sloane 2,7, Carolina Ionette8, Suma Babu2,5, Marco L. Loggia1,2, Meena M Makary1,2,9, Jacob M Hooker1,2, Ciprian Catana1,2, Revere Kinkel10, Roberta Magliozzi11,12, and Caterina Mainero1,2

1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, 4Department of Neurology, 4. Karolinska University Hospital, Stockholm, Sweden, 5Neurology, Massachusetts General Hospital, Boston, MA, United States, 6Massachusetts General Hospital, Boston, MA, United States, 7Beth Israel Deaconess Medical Center, Boston, MA, United States, 8Department of Neurology, UMass Memorial Medical Center, Worcester, MA, United States, 9Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt, 10Department of Neuroscience, University of California, San Diego, CA, United States, 11Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy, 12Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, United Kingdom

In multiple sclerosis (MS), neuropathological studies suggest that meningeal inflammation involving T-, B-lymphocytes, plasma cells, macrophages may trigger underlying cortical neuroinflammation and demyelination. Using MR-PET targeting the18kDa mitochondrial translocator protein, which is overexpressed in activated glia/macrophages, we detected in 49 MS patients cortical inflammatory changes along with neuroinflammation in both meninges and juxtacortical white matter. Meningeal inflammation correlated with worse neurological disability and cognitive performance. Histochemistry performed in meningeal tissue from 40 post-mortem progressive MS cases confirmed in vivo findings. This study provides in vivo PET imaging evidence implicating meningeal neuroinflammation in the pathophysiology of MS.

4961
Booth 8
Parameters associated with durable clinical success in a multi-center trial using MR guided focused ultrasound treat uterine leiomyomas
Rachel Bitton1, Angela Fast2, Gina Hesley3, Steven Raman4, Alan Matsumoto5, Eric Dolan6, Maureen Kohi7, Thomas Price8, Fiona Fenessey9, and Pejman Ghanouni1

1Radiology, Stanford University, Stanford, CA, United States, 2Allegheny Health Network, Pittsburgh, PA, United States, 3Radiology, Mayo Clinic, Rochester, MN, United States, 4Radiology, UCLA, Los Angeles, CA, United States, 5Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 6Interventional Radiology, Ohio Health, Columbus, OH, United States, 7Radiology, UCSF, San Francisco, CA, United States, 8Obstetrics and Gynecology, Duke University, Durham, NC, United States, 9Radiology, Brigham and Women's Hospital, Boston, MA, United States

This study presents results of a prospective multicenter clinical trial of 99 women treated with MR guided focused ultrasound (MRgFUS) for symptomatic uterine leiomyomas to assess treatment durability and to evaluate potential demographic, imaging, and technical characteristics associated with lasting clinical outcomes. Following treatment, there was an improvement in symptoms, with a significant decrease in mean symptom severity score at the 6, 12, 24 and 36 month follow up (p<0.001). In a multivariate model, a new parameter of interest, the ratio of non-perfused volume to total fibroid volume (NPV/TFV) was found to be predictive of durable clinical success (p=0.03).

4962
Booth 9
Coronavirus Disease 2019 (COVID-19): Impact of First and Second Waves on CT and MRI Patient Volumes at a Large Tertiary Center
Stanley Chu1, Mitchell Collins1, Maurice H Pradella2, Rachel Davids 3, Martin Kramer 3, Mathis Zimmerman3, Sarah Fopma2, Alexander Korutz2, Ryan Avery2, Michael Markl2, Bradley Allen2, Blair Faber2, and James Carr2

1Radiology, Northwestern University, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States, 3Siemens Medical Solutions, Chicago, IL, United States

The impact of the first wave of COVID-19 (Feb-Apr. 2020) on imaging volumes has been widely explored, but responses to a subsequent wave (Oct-Dec. 2020) remain to be investigated. In this study, a cloud-based analytics tool (CBAT) collected monthly CT/MRI scan volumes at a large tertiary center from Oct 2019 to Aug 2021. The first wave of COVID-19 significantly lowered all forms of CT/MRI imaging. The second COVID-19 wave did not significantly impact CT/MRI scan volumes, which remained at pre-pandemic levels during/afterwards. CBAT has the ability to assess impact/response towards two waves of COVID-19 at a large tertiary center.

4963
Booth 10
Analysis of white matter tissue integrity of COVID-19 recovered patients using diffusion weighted imaging
Alejandro Santos-Díaz1,2, Berenice Sanchez-Alvarado3, Oscar Marrufo Melendez4, Roger Carrillo Mezo4, Antonio Arauz Gongora4, and Monica Rodriguez5

1School of Engineering and Science, Tecnologico de Monterrey, Mexico City, Mexico, 2School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico, 3School of Engineering and Science, Tecnologico de Monterrey, Monterrey, Mexico, 4Neuroimaging, Instituto Nacional de Neurologia y Neurocirugía, Mexico City, Mexico, 5Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico

Evidence supports that the virus SARS-CoV-2 has a potential neuroinvasion causing neurological symptoms, even after recovery. Diffusion Weighted Imaging (DWI) allows us to detect the microstructural changes in white matter tissue integrity. In this work, we studied the neurological manifestations of COVID-19 in apparent diffusion coeficient (ADC), fractional anisotropy (FA), and metrics derived from fixel-based analysis (FBA) such as fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC). We found statistically significant differences in 34/43 fiber bundle regions from the IIT Human Brain Atlas in the five different metrics studied.

4964
Booth 11
High White Matter Fractional Anisotropy and Low Diffusivity in Participants with Post-acute Sequelae SARS-CoV-2 Infection
Huajun Liang1, Thomas Ernst1,2, Kenichi Oishi3, Meghann Ryan1, Eleanor Wilson4, Andrea Levine5, Eric Cunningham1, Shyamasundaran Kottilil4, and Linda Chang1,2,6

1Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Institute of Human Virology, Department of Medicine, Division of Infectious Disease, University of Maryland School of Medicine, Baltimore, MD, United States, 5Department of Medicine, Division of Pulmonary & Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 6Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States

Diffusion tensor imaging (DTI), a sensitive method to detect inflammatory or cytotoxic tissue changes, has been used to study brain microstructure in patients with COVID-19. At 2-3 months post-acute sequelae SARS-CoV-2 infection (PASC), prior reports found both higher or lower than normal white matter diffusivity in participants who had variable severity of clinical manifestations. We performed DTI and neuropsychiatric assessments in 20 participants with PASC. Individuals with PASC had lower diffusivity 6 months after the diagnosis, which correlated with greater fatigue. These diffusion findings may be due to glial proliferation and immune-response related cytotoxic edema. 

4965
Booth 12
Dose-Escalated Radiation Treatment Plans in Glioblastoma Based on Quantitative Magnetization Transfer using a 1.5T MR-Linac
Rachel W. Chan1, Mark Ruschin2, Liam S.P. Lawrence3, James Stewart2, Sten Myrehaug2, Chia-Lin Tseng2, Jay Detsky2, Pejman J. Maralani4, Mary Jane Lim-Fat2, Hany Soliman2, Greg J. Stanisz1,3,5, Arjun Sahgal2, and Angus Z. Lau1,3

1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada, 5Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, Lublin, Poland

Hybrid MR/radiotherapy MR-Linac devices enable dose adaptation based on daily  imaging. Saturation transfer MRI, including quantitative magnetization transfer (qMT) and chemical exchange saturation transfer (CEST), have been shown to predict treatment response in glioblastoma. Here, in a proof-of-principle study, we demonstrated the feasibility of retrospectively generating dose-escalated radiation plans based on qMT semi-solid fraction maps acquired on the MR-Linac. Treatment plans with a 115-120% boost dose were successfully generated in all four patients and adhered to clinical organs-at-risk dose constraints.

4966
Booth 13
Predicting Stereotactic Radiosurgery Dose Maps from Pre-Therapy MR Images using a Deep Neural Network
Shraddha Pandey1,2, Tugce Kutuk3, Matthew N Mills3, Mahmoud Abdalah4, Olya Stringfield4, Kujtim Latifi3, Timothy J Robinson3, Wilfrido Moreno1, Kamran A Ahmed3, and Natarajan Raghunand2,5

1Electrical Engineering, University of South Florida, Tampa, FL, United States, 2Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States, 3Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States, 4Quantitative Imaging Shared Service, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States, 5Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States

Stereotactic Radiosurgery (SRS) of asymptomatic brain metastases provides lasting tumor control with only minor side effects to healthy brain. An active research area is the development of models to predict tumor response to a given dose of Radiation Treatment (RT) from analysis of pre-RT and post-RT MR images (i.e., the forward problem). Here we propose an approach to train a deep neural net on pre-RT MR images of patients with Breast Cancer Metastases to the Brain (BCMB), for predicting RT dose maps that will yield desired/target tumor voxel intensities on post-RT MR images (i.e., the inverse problem).

4967
Booth 14
Diffusion Tensor Imaging Biomarkers for Chronic Pain Following Mild Traumatic Injury
Ho-Ching Yang1, Kelly Naugle2, Qiuting Wen1, Fletcher A White3,4,5, and Yu-Chien Wu1

1Departments of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Department of Kinesiology, School of Health and Human Sciences, Indiana University Purdue University Indianapolis, Indianapolis, IN, United States, 3Department of Anesthesia, School of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States, 4Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, United States, 5Research and Development Services, Richard L. Roudebush VA Medical Center, Indianapolis, IN, United States

To investigate the neuropathogenesis of post-traumatic headache following mild traumatic brain injuries (mTBI), this study applied diffusion tensor imaging and functional magnetic resonance imaging to explore relationships between brain structural and functional changes and sensitization, pain inhibitory capacity, psychological factors and headache pain in mTBI subjects. The results found structural and functional alterations in mTBI. Also, the results showed that DTI metric differences between mTBI subjects and controls can be used to predict pain/psychological measurements, which indicated the relationship between white matter disruption and measurements of endogenous pain modulation and psychological distress in mTBI.

4968
Booth 15
Magnetic Resonance Imaging to Identify Chronicity and Treatability of Migraine and Chronic Headache Disorders
Isaac Vicente Manzanera Esteve1, Adam Evans1, Brian Johnson2, Ryan Robinson3, Saikat Sengupta1, Alonda Pollins1, Wesley Thayer1, and Salam Al Kassis1

1Vanderbilt University Medical Center, Nashville, TN, United States, 2Philips Healthcare, Gainesville, FL, United States, 3Philips Healthcare, Nashville, TN, United States

Migraine Headaches (MH) are the 6th leading cause of years lived with disability worldwide, affect 15% of the US population, and are nearly twice as prevalent in veterans who have been deployed. Our study focuses on pathology of the greater occipital nerve (GON), which occurs with a high prevalence in individuals with a history of trauma (i.e. traffic accidents, explosions, falls). In our pilot MRI scans and operative experience, migraines associated with GON pathology displayed a pathologic thickening of the nerve validated intraoperatively. These results present MRI as a potential biomarker of headache pathologies of MH associated with GON pathology.