Diagnostic value of susceptibility-based imaging and apparent diffusion coefficient for differentiating multiple system atrophy-Parkinsonian type from Parkinson's disease.
- 1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
- 2Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
- 3Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Abstract
To characterize the diagnostic performance of susceptibility-weighted imaging (SWI), χ-separation-derived paramagnetic susceptibility (χpara), and apparent diffusion coefficient (ADC) for differentiating multiple system atrophy-Parkinsonian type (MSA-P) from Parkinson's disease (PD). This retrospective case-control study included 27 drug-naïve patients with MSA-P and 27 age- and sex-matched drug-naïve patients with PD. Clinical diagnosis by board-certified neurologists served as the reference standard. χpara maps were generated from multi-echo gradient-recalled echo images using χ-separation, and ADC maps were derived from diffusion-weighted imaging. Two blinded radiologists qualitatively assessed SWI and ADC images using prespecified putaminal criteria. Quantitative analyses included voxel-wise group comparison and receiver operating characteristic (ROC) analysis using mean region-of-interest (ROI) values. Candidate logistic-regression models were assessed using leave-one-out cross-validation. Qualitative assessment yielded sensitivity (85.2%), specificity (100%) and accuracy (92.6%) for SWI; the corresponding ADC assessments were 70.4%, 77.8% and 74.1%, respectively. Voxel-wise χpara analysis revealed a rim-shaped susceptibility increase in the posterior putamen, whereas ADC differences were localized to cerebellar white matter, including the middle cerebellar peduncle (MCP). In ROI-based classification, putaminal χpara yielded a sensitivity of 92.6% and ADC of the MCP showed a specificity of 96.3%. An exploratory model combining putaminal χpara and ADC in the MCP yielded a leave-one-out cross-validation AUC of 0.927. By evaluating susceptibility-based imaging and ADC in the same cohort, this study characterized their respective regional imaging features and diagnostic performance for differentiating MSA-P from PD. χpara revealed an observed rim-shaped susceptibility pattern in the posterior putamen, supporting further evaluation of this pattern as a candidate imaging finding in MSA-P.
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BibTeX
@article{moon2026diagnostic,
title = {{Diagnostic value of susceptibility-based imaging and apparent diffusion coefficient for differentiating multiple system atrophy-Parkinsonian type from Parkinson's disease.}},
author = {Byeongpil Moon and So Yeon Won and Jonghyo Youn and Yujin Seo and Jinyoung Youn and Eung Yeop Kim and Jongho Lee and Beomseok Sohn},
journal = {Frontiers in aging neuroscience},
year = {2026},
month = oct,
doi = {10.3389/fnagi.2026.1967702},
url = {https://europepmc.org/article/MED/42952865},
note = {CC BY},
}
RIS
TY - JOUR
TI - Diagnostic value of susceptibility-based imaging and apparent diffusion coefficient for differentiating multiple system atrophy-Parkinsonian type from Parkinson's disease.
AU - Byeongpil Moon
AU - So Yeon Won
AU - Jonghyo Youn
AU - Yujin Seo
AU - Jinyoung Youn
AU - Eung Yeop Kim
AU - Jongho Lee
AU - Beomseok Sohn
PY - 2026
DA - 2026/10/14
JO - Frontiers in aging neuroscience
DO - 10.3389/fnagi.2026.1967702
UR - https://europepmc.org/article/MED/42952865
AB - To characterize the diagnostic performance of susceptibility-weighted imaging (SWI), χ-separation-derived paramagnetic susceptibility (χpara), and apparent diffusion coefficient (ADC) for differentiating multiple system atrophy-Parkinsonian type (MSA-P) from Parkinson's disease (PD). This retrospective case-control study included 27 drug-naïve patients with MSA-P and 27 age- and sex-matched drug-naïve patients with PD. Clinical diagnosis by board-certified neurologists served as the reference standard. χpara maps were generated from multi-echo gradient-recalled echo images using χ-separation, and ADC maps were derived from diffusion-weighted imaging. Two blinded radiologists qualitatively assessed SWI and ADC images using prespecified putaminal criteria. Quantitative analyses included voxel-wise group comparison and receiver operating characteristic (ROC) analysis using mean region-of-interest (ROI) values. Candidate logistic-regression models were assessed using leave-one-out cross-validation. Qualitative assessment yielded sensitivity (85.2%), specificity (100%) and accuracy (92.6%) for SWI; the corresponding ADC assessments were 70.4%, 77.8% and 74.1%, respectively. Voxel-wise χpara analysis revealed a rim-shaped susceptibility increase in the posterior putamen, whereas ADC differences were localized to cerebellar white matter, including the middle cerebellar peduncle (MCP). In ROI-based classification, putaminal χpara yielded a sensitivity of 92.6% and ADC of the MCP showed a specificity of 96.3%. An exploratory model combining putaminal χpara and ADC in the MCP yielded a leave-one-out cross-validation AUC of 0.927. By evaluating susceptibility-based imaging and ADC in the same cohort, this study characterized their respective regional imaging features and diagnostic performance for differentiating MSA-P from PD. χpara revealed an observed rim-shaped susceptibility pattern in the posterior putamen, supporting further evaluation of this pattern as a candidate imaging finding in MSA-P.
SN - 1663-4365
ER -