Won Jin Moon1, Younghee Yim2, Byeong Kyu Park1, Jinho Yang1, Yeonsil Moon3, Seol-Heui Han3, Hee-Jin Kim4, and Jongho Lee5
1Radiology, Konkuk University Medical Center, Seoul, Korea, Republic of, 2Radiology, Chung-Ang University hospital, Seoul, Korea, Republic of, 3Neurology, Konkuk University Medical Center, Seoul, Korea, Republic of, 4Neurology, Hanyang University Hospital, Seoul, Korea, Republic of, 5Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of
Synopsis
Keywords: Neurodegeneration, Alzheimer's Disease
Prediction or prevention of
progression to dementia for non-demented patients is critical for management
and prevention strategy of dementia. Recent evidences suggest that larger
choroid plexus (CP) volume was associated with the severity of cognitive
impairment in Alzheimer disease (AD) spectrum. We evaluated clinical data and the volume, permeability
and susceptibility of choroid plexus of 62 consecutive non-demented prospective
cohorts with follow-up up to 2 years. Dementia converter group showed larger CP
volume than that of non-converters. Thus, CP volume could be utilized as a potential
imaging marker for patients who are likely to progress to dementia.
INTRODUCTION
Larger choroid plexus
(CP) volume has been suggested as an important imaging marker associated with
the severity of cognitive impairment in Alzheimer disease (AD) spectrum 1. However, whether CP imaging features can be a predictor
of progression of dementia is not clear. In this study, we investigated whether
CP imaging features could be utilized as possible imaging marker for prediction
of dementia conversion for non-demented patients by using structural MR imaging,
dynamic contrast enhanced (DCE) imaging, and quantitative susceptibility
mapping (QSM).METHODS
We used the data set of 62
consecutive non-demented prospective cohorts who initially diagnosed as
subjective cognitive impairment (SCI, n=11) and mild cognitive impairment (MCI,
n=51). Diagnosis of SCI and MCI was made on the basis of clinical and
neuropsychological test. All patients underwent MRI study and cognitive
assessment at baseline and follow-up up to2 years. CP volume was automatically
segmented; the volume transfer constant (i.e., Ktrans) and fractional plasma
volume (i.e., Vp) were determined using DCE MRI, and susceptibility was
assessed using QSM based on previously described methods 2-4. CP volume was expressed as the ratio to
intracranial volume (ICV). Logistic regression analysis was performed to
determine the predictors of dementia conversion after adjusting for age,
education, and hippocampal atrophy.RESULTS
Out of 62 patients, 7
(11.3%) patients progressed to dementia (age=73.5 IQR [73 - 76], all females)
whereas 55 (88.7%) were non-converters (age = 72 [65 – 76], 32 females
(58.2%)). CP volume was not statistically different between the two groups (p=0.064).
Only education (Odd Ratio [OR] = 0.656, 95% CI [0.473-0.911], p=0.012) and
hippocampal atrophy (OR= 0.076 [0.009-0.626], p=0.017) were the independent
predictors of dementia conversion. In the subgroup analysis, female patients
(n=32) showed larger CP volume (ratio of ICVx103) in the converter
group (1.433, IQR [1.227-1.534]) compared with the non-converter group (1.059,
IQR [0.877-1.184], p=0.030), while showing no difference regarding permeability
and susceptibility of CP according to the conversion status. Logistic
regression analysis showed CP volume (OR =459.3 [1.954-108.0 x103], p=0.028)
was an independent predictor for the dementia conversion , in addition to
education level (OR = 0.571 [0.353-0.926], p = 0.023) and hippocampal volume
(OR= 0.008 [0.000-0.409], p = 0.016).DISCUSSION and CONCLUSION
Our results suggest the CP
volume independently predicts the future dementia conversion in female
non-demented patients with early cognitive impairments. Lack of relationship
between permeability/susceptibility of CP and conversion to dementia is corroborated by the previous cross-sectional study finding 1. Limitation of this study, however, are relatively
small sample size and skewed sex distribution. In conclusion, CP volume measure
could be utilized as a potential imaging marker for prediction of the future progression
to the dementia in on-demented older subjects. Acknowledgements
This work was supported
by the Korea Health Technology R&D Project through the Korea Health
Technology R&D Project through the Korea Health Industry Development
Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of
Korea (grant number HI21C0222).References
1. Choi JD, Moon Y, Kim H-J, Yim Y, Lee S,
Moon W-JJR. Choroid plexus volume and permeability at brain MRI within the
Alzheimer disease clinical spectrum. 2022:212400.
2. Lee J, Lee JY, Oh
SW, Chung MS, Park JE, Moon Y, et al. Evaluation of reproducibility of brain
volumetry between commercial software, inbrain and established research purpose
method, FreeSurfer. 2021;17(2):307.
3. Heye AK, Thrippleton
MJ, Armitage PA, Hernández MdCV, Makin SD, Glatz A, et al. Tracer kinetic
modelling for DCE-MRI quantification of subtle blood–brain barrier
permeability. 2016;125:446-55.
4. Jung W, Yoon J, Ji S, Choi JY, Kim JM, Nam Y, et al. Exploring
linearity of deep neural network trained QSM: QSMnet+. 2020;211:116619.