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Cho, Hyungjoon
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dc.citation.number 6 -
dc.citation.startPage umaf042 -
dc.citation.title RADIOLOGY ADVANCES -
dc.citation.volume 2 -
dc.contributor.author Ambaye, Dagnachew Tessema -
dc.contributor.author Jo, Sungyang -
dc.contributor.author Candan, Huseyin Enes -
dc.contributor.author Tessema, Abel Worku -
dc.contributor.author Myratgeldiyev, Nepes -
dc.contributor.author Suh, Chong Hyun -
dc.contributor.author Ryu, Jihong -
dc.contributor.author Chung, Sun Ju -
dc.contributor.author Lee, Hansol -
dc.contributor.author Lee, Jae-Hyeok -
dc.contributor.author Lee, Eun-Jae -
dc.contributor.author Cho, Hyungjoon -
dc.date.accessioned 2026-01-12T14:35:09Z -
dc.date.available 2026-01-12T14:35:09Z -
dc.date.created 2026-01-10 -
dc.date.issued 2025-12 -
dc.description.abstract Background: Choroid plexus (ChP) has gained attention as a potential biomarker in neurodegenerative diseases, yet its segmentation remains challenging. Gadolinium-based contrast-enhanced MRI (CE-MRI) is the reference standard, as non-contrast MRI images lack sufficient contrast. However, gadolinium deposition, risk of nephrogenic system fibrosis in renally impaired patients, and patient discomfort limit its repeated administration. Purpose: To develop deep learning-based synthetic-contrast-enhanced MRI (SynCE-MRI) using T1-weighted images to improve ChP visualization and evaluate its ability to detect morphological changes in Parkinsonian syndromes. Materials and methods: This retrospective study included 265 (mean age ¼ 65.7±7.00 years, males/females: 120/145) consecutive patients in the internal cohort (174 with Parkinson’s disease [PD], 46 with essential tremor, and 45 with atypical Parkinsonian disorder [APD]) who underwent T1W and CE-MRI at 3T from Asan Medical Center (June 2021-December 2023), and an external cohort of 58 (mean age ¼ 60.7±7.8 years, males/females: 40/18) patients (29/29 PD/APD) from Pusan National University, Yangsan Hospital (April 2011-December 2014). Nested-UNet was used for SynCE-MRI synthesis from T1W images. The 3D-UNet ChP segmentation model was trained by CE-MRI and tested using SynCE-MRI. KruskalWallis and Bonferroni-corrected Mann-Whitney U tests assessed image synthesis, segmentation, and ChP morphometry (P < .05). Results: SynCE-MRI achieved high-fidelity images with peak signal-to-noise ratio (PSNR) 35.37 ± 1.32 and structural similarity index measure (SSIM) 0.970 ±0.0054. Segmentation accuracy for SynCE-MRI (dice score ¼ 0.803 ± 0.029, 95% CI: 0.797-0.810) significantly outperformed manual (dice score ¼ 0.59 ± 0.057, 95% CI: 0.578-0.603; P < .001) and automated (dice score ¼ 0.489 ± 0.049, 95% CI: 0.479-0.500; P < .001) T1W-based segmentations. SynCE-MRI-based ChP volumes closely matched CE-MRI (mean absolute-volume difference [MAVD] ¼ 6.7% ICC ¼ 0.88, 95% CI: 0.82-0.92). SynCE-MRI revealed significantly larger ChP volumes in APD versus PD using internal cohort (APD: 2.69 ±0.39 mL, 95% CI: 2.54-2.84 vs PD: 2.43 ± 0.47 mL, 95% CI: 2.25-2.52; P ¼ .04) and external cohort (APD: 2.81 ± 0.48 mL, 95% CI: 2.60-3.02 vs PD: 2.52 ± 0.45 mL, 95% CI: 2.36-2.69; P ¼ .03). -
dc.identifier.bibliographicCitation RADIOLOGY ADVANCES, v.2, no.6, pp.umaf042 -
dc.identifier.doi 10.1093/radadv/umaf042 -
dc.identifier.issn 2976-9337 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/90236 -
dc.identifier.wosid 001645489900001 -
dc.language 영어 -
dc.publisher OXFORD UNIV PRESS -
dc.title Automated Synthetic Contrast-Enhanced MRI Improves Choroid Plexus Segmentation in Parkinsonian Syndromes -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.type.docType Article -
dc.subject.keywordPlus deep learning -
dc.subject.keywordPlus synthetic contrast-enhanced MRI -
dc.subject.keywordPlus choroid plexus morphometry -
dc.subject.keywordPlus volumetric analysis -
dc.subject.keywordPlus contrast-enhanced MRI -
dc.subject.keywordPlus Parkinsonian syndromes -

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