{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T20:06:13Z","timestamp":1792613173622,"version":"4.5.0"},"reference-count":34,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001677","name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001677","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201011\u2010INBS\u20100006 (France Life Imaging)"],"award-info":[{"award-number":["ANR\u201011\u2010INBS\u20100006 (France Life Imaging)"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANRMNP 20"],"award-info":[{"award-number":["ANRMNP 20"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006289","name":"\u00c9lectricit\u00e9 de France","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006289","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008211","name":"Association France Parkinson","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008211","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018960","name":"Association de soutien \u00e0 la Paralysie Supranucl\u00e9aire Progressive","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018960","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disorders"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>International clinical criteria are the reference for the diagnosis of degenerative parkinsonism in clinical research, but they may lack sensitivity and specificity in the early stages.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To determine whether magnetic resonance imaging (MRI) analysis, through visual reading or machine\u2010learning approaches, improves diagnostic accuracy compared with clinical diagnosis at an early stage in patients referred for suspected degenerative parkinsonism.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials<\/jats:title>\n                    <jats:p>Patients with initial diagnostic uncertainty between Parkinson's disease (PD), progressive supranuclear palsy (PSP), and multisystem atrophy (MSA), with brain MRI performed at the initial visit (V1) and available 2\u2010year follow\u2010up (V2), were included. We evaluated the accuracy of the diagnosis established based on: (1) the international clinical diagnostic criteria for PD, PSP, and MSA at V1 (\u201cClin1\u201d); (2) MRI visual reading blinded to the clinical diagnosis (\u201cMRI\u201d); (3) both MRI visual reading and clinical criteria at V1 (\u201cMRI and Clin1\u201d), and (4) a machine\u2010learning algorithm (\u201cAlgorithm\u201d). The gold standard diagnosis was established by expert consensus after a 2\u2010year follow\u2010up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We recruited 113 patients (53 with PD, 31 with PSP, and 29 with MSA). Considering the whole population, compared with clinical criteria at the initial visit (\u201cClin1\u201d: balanced accuracy, 66.2%), MRI visual reading showed a diagnostic gain of 14.3% (\u201cMRI\u201d: 80.5%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.01), increasing to 19.2% when combined with the clinical diagnosis at the initial visit (\u201cMRI and Clin1\u201d: 85.4%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.0001). The algorithm achieved a diagnostic gain of 9.9% (\u201cAlgorithm\u201d: 76.1%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.08).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Our study shows the use of MRI analysis, whether by visual reading or machine\u2010learning methods, for early differentiation of parkinsonism. \u00a9 2024 The Authors.\n                      <jats:italic>Movement Disorders<\/jats:italic>\n                      published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.\n                    <\/jats:p>\n                  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Investigations and Therapeutics\u201d (MOV'IT)  Paris France"},{"name":"Department of Neuroradiology Sorbonne Universit\u00e9, Institut du Cerveau\u2013Paris Brain Institute\u2013ICM, CNRS, Inserm, AP\u2010HP, H\u00f4pital de la Piti\u00e9 Salp\u00eatri\u00e8re, DMU DIAMENT  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alice","family":"Faucher","sequence":"additional","affiliation":[{"name":"Assistance Publique H\u00f4pitaux de Paris, Service de Neurologie, H\u00f4pital Avicenne, H\u00f4pitaux Universitaires de Paris Seine\u2010Saint\u2010Denis, Sorbonne Paris Nord, NS\u2010PARK\/FCRIN Network  Bobigny France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johann","family":"Faouzi","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Institut du Cerveau\u2013Paris Brain Institute\u2013ICM, CNRS, Inria, Inserm, AP\u2010HP, H\u00f4pital de la Piti\u00e9 Salp\u00eatri\u00e8re  Paris France"},{"name":"CREST, ENSAI, 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