Automated MRI Classification in Progressive Supranuclear Palsy: a Large International Cohort Study

被引：42

作者：

Nigro, Salvatore ^{[1
]}

Antonini, Angelo ^{[2
]}

Vaillancourt, David E. ^{[3
,4
]}

Seppi, Klaus ^{[5
,6
]}

Ceravolo, Roberto ^{[7
]}

Strafella, Antonio P. ^{[8
,9
]}

Augimeri, Antonio ^{[10
]}

Quattrone, Andrea ^{[11
]}

Morelli, Maurizio ^{[11
]}

Weis, Luca ^{[12
]}

Fiorenzato, Eleonora ^{[12
]}

Biundo, Roberta ^{[12
]}

Burciu, Roxana G. ^{[13
]}

Krismer, Florian ^{[5
]}

McFarland, Nikolaus R. ^{[4
]}

Mueller, Christoph ^{[5
]}

Gizewski, Elke R. ^{[6
,14
]}

Cosottini, Mirco ^{[15
]}

Del Prete, Eleonora ^{[7
]}

Mazzucchi, Sonia ^{[7
]}

Quattrone, Aldo ^{[1
,16
]}

机构：

[1] Magna Graecia Univ Catanzaro, Neurosci Ctr, Catanzaro, Italy

[2] Univ Padua, Dept Neurosci, Padua, Italy

[3] Univ Florida, Dept Appl Physiol & Kinesiol, Gainesville, FL USA

[4] Univ Florida, Dept Neurol & Biomed Engn, Gainesville, FL USA

[5] Med Univ Innsbruck, Dept Neurol, Innsbruck, Austria

[6] Med Univ Innsbruck, Neuroimaging Core Facil, Innsbruck, Austria

[7] Univ Pisa, Dept Clin & Expt Med, Neurol Unit, Pisa, Italy

[8] UHN, Krembil Res Inst, Toronto, ON, Canada

[9] Univ Toronto, CAMH, Campbell Family Mental Hlth Res Inst, Res Imaging Ctr, Toronto, ON, Canada

[10] Biotecnomed SC aRL, Catanzaro, Italy

[11] Magna Graecia Univ Catanzaro, Inst Neurol, Dept Med & Surg Sci, Catanzaro, Italy

[12] IRCCS San Camillo Hosp, Venice, Italy

[13] Univ Delaware, Dept Kinesiol & Appl Physiol, Newark, DE USA

[14] Med Univ Innsbruck, Dept Neuroradiol, Innsbruck, Austria

[15] Univ Pisa, Dept Translat Res & New Technol, Pisa, Italy

[16] CNR, Inst Mol Bioimaging & Physiol, Neuroimaging Res Unit, Catanzaro, Italy

来源：

MOVEMENT DISORDERS | 2020年 / 35卷 / 06期

基金：

美国国家卫生研究院;

关键词：

automated MRI-based classification; international multicenter study; Magnetic Resonance Parkinsonism Index; progressive supranuclear palsy; web-based platform; MAGNETIC-RESONANCE PARKINSONISM; CLINICAL PHENOTYPES; INDEX; DIAGNOSIS; PSP; MULTICENTER; BIOMARKERS; ACCURACY; CRITERIA; DISTINCT;

D O I：

10.1002/mds.28007

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Background The Magnetic Resonance Parkinsonism Index is listed as one of the most reliable imaging morphometric markers for diagnosis of progressive supranuclear palsy (PSP). However, the use of this index in diagnostic workup has been limited until now by the low generalizability of published results because of small monocentric patient cohorts, the lack of data validation in independent patient series, and manual measurements used for index calculation. The objectives of this study were to investigate the generalizability of Magnetic Resonance Parkinsonism Index performance validating previously established cutoff values in a large international cohort of PSP patients subclassified into PSP-Richardson's syndrome and PSP-parkinsonism and to standardize the use of the automated Magnetic Resonance Parkinsonism Index by providing a web-based platform to obtain homogenous measures around the world. Methods In a retrospective international multicenter study, a total of 173 PSP patients and 483 non-PSP participants were enrolled. A web-based platform () was used to calculate automated Magnetic Resonance Parkinsonism Index values. Results Magnetic Resonance Parkinsonism Index values showed optimal performance in differentiating PSP-Richardson's syndrome and PSP-parkinsonism patients from non-PSP participants (93.6% and 86.5% of accuracy, respectively). The Magnetic Resonance Parkinsonism Index was also able to differentiate PSP-Richardson's syndrome and PSP-parkinsonism patients in an early stage of the disease from non-PSP participants (90.1% and 85.9%, respectively). The web-based platform provided the automated Magnetic Resonance Parkinsonism Index calculation in 94% of cases. Conclusions Our study provides the first evidence on the generalizability of automated Magnetic Resonance Parkinsonism Index measures in a large international cohort of PSP-Richardson's syndrome and PSP-parkinsonism patients. The web-based platform enables widespread applicability of the automated Magnetic Resonance Parkinsonism Index to different clinical and research settings. (c) 2020 International Parkinson and Movement Disorder Society

引用

页码：976 / 983

页数：8

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