Diagnostic Accuracy of Magnetic Resonance Imaging Measures of Brain Atrophy Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Degeneration

dc.contributor.authorIllán Gala, Ignacio
dc.contributor.authorNigro, Salvatore
dc.contributor.authorVrede, Lawren Van de
dc.contributor.authorFalgàs Martínez, Neus
dc.contributor.authorHeuer, Hilary W.
dc.contributor.authorPainous Martí, Cèlia
dc.contributor.authorCompta, Yaroslau
dc.contributor.authorMartí Domènech, Ma. Josep
dc.contributor.authorMontal, Victor
dc.contributor.authorPagonabarraga, Javier
dc.contributor.authorKulisevsky, Javier
dc.contributor.authorLleó, Alberto
dc.contributor.authorFortea, Juan
dc.contributor.authorLogroscino, Giancarlo
dc.contributor.authorQuattrone, Andrea
dc.contributor.authorPerry, David C.
dc.contributor.authorGorno-Tempini, Maria Luisa
dc.contributor.authorRosen, Howard J.
dc.contributor.authorGrinberg, Lea T.
dc.contributor.authorSpina, Salvatore
dc.contributor.authorJoie, Renaud La
dc.contributor.authorRabinovici, Gil D.
dc.contributor.authorMiller, Bruce L.
dc.contributor.authorRojas, Julio C.
dc.contributor.authorSeeley, William W.
dc.contributor.authorBoxer, Adam L.
dc.date.accessioned2024-03-27T11:03:32Z
dc.date.available2024-03-27T11:03:32Z
dc.date.issued2023-07-17
dc.date.updated2023-07-17T12:57:34Z
dc.description.abstractThe accurate diagnosis of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) is hampered by imperfect clinical-pathological correlations.To assess and compare the diagnostic value of the magnetic resonance parkinsonism index (MRPI) and other magnetic resonance imaging-based measures of cerebral atrophy to differentiate between PSP, CBD, and other neurodegenerative diseases.This prospective diagnostic study included participants with 4-repeat tauopathies (4RT), PSP, CBD, other neurodegenerative diseases and available MRI who appeared in the University of California, San Francisco, Memory and Aging Center database. Data were collected from October 27, 1994, to September 29, 2019. Data were analyzed from March 1 to September 14, 2021.The main outcome of this study was the neuropathological diagnosis of PSP or CBD. The clinical diagnosis at the time of the MRI acquisition was noted. The imaging measures included the MRPI, cortical thickness, subcortical volumes, including the midbrain, pons, and superior cerebellar peduncle volumes. Multinomial logistic regression models (MLRM) combining different cortical and subcortical regions were defined to discriminate between PSP, CBD, and other pathologies. The areas under the receiver operating characteristic curves (AUROC) and cutoffs were calculated to differentiate between PSP, CBD, and other diseases.Of the 326 included participants, 176 (54%) were male, and the mean (SD) age at MRI was 64.1 (8.0) years. The MRPI showed good diagnostic accuracy for the differentiation between PSP and all other pathologies (accuracy, 87%; AUROC, 0.90; 95% CI, 0.86-0.95) and between 4RT and other pathologies (accuracy, 80%; AUROC, 0.82; 95% CI, 0.76-0.87), but did not allow the discrimination of participants with CBD. Its diagnostic accuracy was lower in the subgroup of patients without the canonical PSP-Richardson syndrome (PSP-RS) or probable corticobasal syndrome (CBS) at MRI. MLRM combining cortical and subcortical measurements showed the highest accuracy for the differentiation between PSP and other pathologies (accuracy, 95%; AUROC, 0.98; 95% CI, 0.97-0.99), CBD and other pathologies (accuracy, 83%; AUROC, 0.86; 95% CI, 0.81-0.91), 4RT and other pathologies (accuracy, 89%; AUROC, 0.94; 95% CI, 0.92-0.97), and PSP and CBD (accuracy, 91%; AUROC, 0.95; 95% CI, 0.91-0.99), even in participants without PSP-RS or CBS at MRI.In this study, the combination of widely available cortical and subcortical measures of atrophy on MRI discriminated between PSP, CBD, and other pathologies and could be used to support the diagnosis of 4RT in clinical practice.
dc.format.extent16 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idimarina9308940
dc.identifier.issn2574-3805
dc.identifier.pmid35486397
dc.identifier.urihttps://hdl.handle.net/2445/209290
dc.language.isoeng
dc.publisherJAMA Network
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1001/jamanetworkopen.2022.9588
dc.relation.ispartofJAMA NETWORK OPEN, 2022, vol. 5, num. 4
dc.relation.urihttps://doi.org/10.1001/jamanetworkopen.2022.9588
dc.rightscc by (c) Illán Gala, Ignacio et al, 2023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
dc.subject.classificationDiagnòstic per la imatge
dc.subject.classificationLesions cerebrals
dc.subject.otherDiagnostic imaging
dc.subject.otherBrain damage
dc.titleDiagnostic Accuracy of Magnetic Resonance Imaging Measures of Brain Atrophy Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Degeneration
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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