Seung-Koo Lee1, Yoon Seong Choi2, Sung Soo Ahn1, Ho-Joon Lee1, and Jinna Kim1
1Seoul, Korea, Republic of, 2Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of
Synopsis
We
investigated the difference in APT values according to histopathological
grades, and compared the diagnostic value of APT with relative cerebral blood
volume (rCBV) from dynamic susceptibility contrast-enhanced (DSC) MRI and
apparent diffusion coefficient (ADC) from diffusion weighted imaging (DWI) for
histopathological grades in adult diffuse gliomas. We optimized APT imaging
protocol for clinical setting and found that APT values were increased along
with glioma grades, and APT values has incremental values over ADC values for
glioma grading. We suggest that APT imaging can be a useful noninvasive imaging
biomarker for glioma grading, in combination with ADC.Target Audience
Neuroradiologists and neurosurgeons, who
are interested in noninvasive imaging biomarkers for predicting grades of adult
diffuse gliomas.
Purpose
To investigate the diagnostic value of APT compared
with those of ADC and rCBV, and incremental diagnostic value of APT over ADC
and rCBV for predicting histopathological grade in diffuse gliomas in adults,
with clinically optimized APT imaging protocols.
Methods
The study cohort consisted of 39 adult patients
with histopathologically proven diffuse glioma who underwent preoperative APT
imaging, with 34 patients available for preoperative DSC MRI and DWI. Regions
of interest were obtained from circles manually placed at the area with high
signal in APT and rCBV map, and low signal in ADC map. APT signal was compared
according to WHO grade or low vs high grade of glioma. Diagnostic ability to
discriminate high grade glioma from low grade glioma were compared between APT,
ADC, and rCBV by using Receiver operative characteristic (ROC) analysis, and
incremental diagnostic value of APT over ADC and rCBV were assessed by using
integrated discrimination index. Also, the correlation between APT values and
Ki-67 labeling index (LI) was assessed by linear regression.
Results
The APT SI values were 0.82 ± 0.36% in grade II gliomas, 1.73 ± 0.86% in grade
III, and 2.62 ± 0.78% in grade IV gliomas, which showed significant difference
between grade II and III (p=0.018), III and IV (p = 0.010), as well as II and
IV (p < 0.001). The diagnostic value to discriminate between high and low
grade glioma was not significantly different between APT, ADC and rCBV, with
area under the ROC curve (AUC) of 0.890, 0.917, and 0.947, respectively. (p >
0.05 for each comparison) Incremental diagnostic value of APT was significant
over ADC (p = 0.003), and not significant over rCBV (p=0.066). APT signals were
significantly correlated with Ki-67 LI. (p=0.001, R-squared = 0.26)
Discussion
APT imaging, a subtype of CEST, can indirectly
provide information about peptide or protein concentration within the tissue
and has been investigated as an imaging biomarker in previous studies. However,
these previous studies have limited clinical feasibility, since APT imaging
protocol was not optimized for clinical use, mouse models instead of human were
scanned using experimental MRI with 4.7T or higher magnetic field, and human
patients were scanned in only one representative slice of tumor. Herein, we
optimized the APT imaging protocol using 3T MRI in clinic and validated APT
imaging clinically in glioma patients, and showed that APT imaging has
incremental diagnostic values over ADC values for glioma grading.
Conclusion
APT imaging can be useful, and have incremental
value over ADC for predicting the histopathological grades of adult diffuse
gliomas. APT SI can be correlated with Ki-67 LI.
Acknowledgements
No acknowledgement found.References
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