{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T16:45:41Z","timestamp":1791996341505,"version":"4.4.0"},"reference-count":34,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82171255"],"award-info":[{"award-number":["82171255"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371946"],"award-info":[{"award-number":["82371946"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2026,11]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Although Parkinson's disease (PD) and Parkinsonism\u2010Plus syndromes (PPS) exhibit distinct brain atrophy, current clinical differentiation heavily relies on manual, plane\u2010specific 2D metrics, which are labor\u2010intensive and observer\u2010dependent. To fill this gap, this study developed an automated, software\u2010independent metric\u2014the parkinsonism volumetric index (PDSVI)\u2014calculated as [(pons volume \u00d7 third ventricle volume)\/(midbrain volume \u00d7 thalamus volume)\u2009\u00d7\u200910].<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To evaluate the performance of PDSVI in precisely differentiating progressive supranuclear palsy (PSP) from PD, multiple system atrophy cerebellar (MSA\u2010C) and parkinsonian (MSA\u2010P) types.<\/jats:p>\n <\/jats:sec>\n \n Study Type<\/jats:title>\n Retrospective.<\/jats:p>\n <\/jats:sec>\n \n Population<\/jats:title>\n \n 246 PD, 108 PSP, 63 MSA\u2010C, 63 MSA\u2010P (\n N<\/jats:italic>\n \u2009=\u2009480, 253 males and 227 females; mean age: 63.3\u2009\u00b1\u20099.2\u2009years) and 252 healthy controls (HC) (134 males and 118 females; mean age: 64.9\u2009\u00b1\u20098.2\u2009years).\n <\/jats:p>\n <\/jats:sec>\n \n Field Strength\/Sequence<\/jats:title>\n 3\u2009T, 3D inversion\u2010prepared fast spoiled gradient echo sequence T1\u2010weighted Imaging.<\/jats:p>\n <\/jats:sec>\n \n Assessment<\/jats:title>\n \n Manual magnetic resonance parkinsonism index (MRPI) was measured by two raters. Automated brain volumetry was performed using a pre\u2010trained cascaded VB\u2010Net. Patients were randomly assigned to training (\n n<\/jats:italic>\n \u2009=\u2009320) and internal validation (\n n<\/jats:italic>\n \u2009=\u2009160) cohorts via 2:1 stratified randomization. Diagnostic performance of manual MRPI, pons\/midbrain volume ratio, and PDSVI were assessed.\n <\/jats:p>\n <\/jats:sec>\n \n Statistical Tests<\/jats:title>\n \n Diagnostic performance was assessed via receiver operating characteristic (ROC) curve analysis and DeLong's test;\n p<\/jats:italic>\n \u2009<\u20090.05 was considered statistically significant.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n In internal validation cohort, ROC analysis showed that PDSVI distinguished PSP from non\u2010PSP (AUC\u2009=\u20090.897), PD (0.873), MSA\u2010P (0.950), MSA\u2010C (0.939), and HC (0.909), comparable to manual MRPI (AUCs: 0.909, 0.886, 0.923, 0.984 and 0.862,\n p<\/jats:italic>\n values: 0.760, 0.786, 0.492, 0.092, 0.287, respectively).\n <\/jats:p>\n <\/jats:sec>\n \n Data Conclusion<\/jats:title>\n This study proposes a fully automated, 3D\u2010T1\u2010derived parameter that, while exhibiting lower sensitivity compared to the manual MRPI, provides comparable overall diagnostic performance among PSP, PD, MSA, and healthy controls.<\/jats:p>\n <\/jats:sec>\n \n Evidence Level<\/jats:title>\n 3.<\/jats:p>\n <\/jats:sec>\n \n Technical Efficacy<\/jats:title>\n Stage 2.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jmri.70418","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T14:21:50Z","timestamp":1782915710000},"page":"1250-1263","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Structural MRI Volumetry Index for Differentiation of Progressive Supranuclear Palsy From Parkinson's Disease and Multiple System Atrophy by Automatic Segmentation: A Comparison With Magnetic Resonance Parkinsonism Index"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1021-1907","authenticated-orcid":false,"given":"Mingnan","family":"Jia","sequence":"first","affiliation":[{"name":"Department of Radiology Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"You","sequence":"additional","affiliation":[{"name":"Department of Radiology Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoxi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology Beijing Tiantan Hospital, Capital Medical University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Neurology Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 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