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

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Automated MRI Classification in Progressive Supranuclear Palsy: a Large International Cohort Study
Movement Disorders ( IF 8.6 ) Pub Date : 2020-02-24 , DOI: 10.1002/mds.28007
Salvatore Nigro ₁ , Angelo Antonini ₂ , David E Vaillancourt _{3,

4} , Klaus Seppi _{5,

6} , Roberto Ceravolo ₇ , Antonio P Strafella ₈ , Antonio Augimeri ₉ , Andrea Quattrone ₁₀ , Maurizio Morelli ₁₀ , Luca Weis ₁₁ , Eleonora Fiorenzato ₁₁ , Roberta Biundo ₁₁ , Roxana G Burciu ₁₂ , Florian Krismer ₅ , Nikolaus R McFarland ₄ , Christoph Mueller ₅ , Elke R Gizewski _{6,

13} , Mirco Cosottini ₁₄ , Eleonora Del Prete ₇ , Sonia Mazzucchi ₇ , Aldo Quattrone _{1,

15}

Affiliation

Neuroscience Centre, Magna Graecia University, Catanzaro, Italy.
Department of Neuroscience, University of Padua, Padua, Italy.
Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA.
Department of Neurology and Biomedical Engineering, University of Florida, Gainesville, Florida, USA.
Department of Neurology, Medical University Innsbruck, Innsbruck, Austria.
Neuroimaging Core Facility, Medical University Innsbruck, Innsbruck, Austria.
Department of Clinical and Experimental Medicine, Unit of Neurology, University of Pisa, Pisa, Italy.
Krembil Research Institute, UHN & Research Imaging Centre, Campbell Family Mental Health Research Institute, CAMH, University of Toronto, Toronto, Ontario, Canada.
Biotecnomed S.C. aR.L., Catanzaro, Italy.
Department of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.
IRCCS San Camillo Hospital, Venice, Italy.
Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware, USA.
Department of Neuroradiology, Medical University Innsbruck, Innsbruck, Austria.
Department of Translational Research and New Technologies, University of Pisa, Pisa, Italy.
Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy.

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.

中文翻译：

进行性核上性麻痹的自动 MRI 分类：一项大型国际队列研究

磁共振帕金森综合征指数被列为诊断进行性核上性麻痹 (PSP) 的最可靠的成像形态测量标志物之一。然而，迄今为止，由于单中心患者队列较小、缺乏独立患者系列数据验证以及用于指数计算的手动测量，已发表结果的普遍性低，因此该指数在诊断检查中的使用受到限制。本研究的目的是调查磁共振帕金森症指数表现的普遍性，以验证先前在一个大型国际 PSP 患者队列中确定的临界值，这些 PSP 患者被细分为 PSP-Richardson'

更新日期：2020-02-24

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