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Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis

BACKGROUND: Manual width measurements of the middle cerebellar peduncle on MRI were shown to improve the accuracy of an imaging‐guided diagnosis of multiple system atrophy (MSA). Recently, automated volume segmentation algorithms were able to reliably differentiate patients with Parkinson's dis...

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Autores principales: Krismer, Florian, Seppi, Klaus, Göbel, Georg, Steiger, Ruth, Zucal, Isabel, Boesch, Sylvia, Gizewski, Elke R., Wenning, Gregor K., Poewe, Werner, Scherfler, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767501/
https://www.ncbi.nlm.nih.gov/pubmed/30919495
http://dx.doi.org/10.1002/mds.27669
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author Krismer, Florian
Seppi, Klaus
Göbel, Georg
Steiger, Ruth
Zucal, Isabel
Boesch, Sylvia
Gizewski, Elke R.
Wenning, Gregor K.
Poewe, Werner
Scherfler, Christoph
author_facet Krismer, Florian
Seppi, Klaus
Göbel, Georg
Steiger, Ruth
Zucal, Isabel
Boesch, Sylvia
Gizewski, Elke R.
Wenning, Gregor K.
Poewe, Werner
Scherfler, Christoph
author_sort Krismer, Florian
collection PubMed
description BACKGROUND: Manual width measurements of the middle cerebellar peduncle on MRI were shown to improve the accuracy of an imaging‐guided diagnosis of multiple system atrophy (MSA). Recently, automated volume segmentation algorithms were able to reliably differentiate patients with Parkinson's disease (PD) and the parkinsonian variant of MSA. The objective of the current study was to integrate probabilistic information of the middle cerebellar peduncle into an existing MRI atlas for automated subcortical segmentation and to evaluate the diagnostic properties of the novel atlas for the differential diagnosis of MSA (parkinsonian and cerebellar variant) versus PD. METHODS: Three Tesla MRI scans of 48 healthy individuals were used to establish an automated whole‐brain segmentation procedure that includes the volumes of the putamen, cerebellar gray and white matter, and the middle cerebellar peduncles. Classification accuracy of segmented volumes were tested in early‐stage MSA patients (18 MSA‐parkinsonism, 13 MSA‐cerebellar) and 19 PD patients using a C4.5 classifier. RESULTS: Putaminal and infratentorial atrophy were present in 77.8% and 61.1% of MSA‐parkinsonian patients, respectively. Four of 18 MSA‐parkinsonian patients (22.2%) had infratentorial atrophy without evidence of putaminal atrophy. Infratentorial atrophy was present in all MSA‐cerebellar patients, with concomitant putaminal atrophy in 46.2% of these cases. The diagnostic algorithm using putaminal and infratentorial volumetric information correctly classified all PD patients and 96.8% of MSA patients. CONCLUSIONS: The middle cerebellar peduncle was successfully integrated into a subcortical segmentation atlas, and its excellent diagnostic accuracy outperformed existing volumetric MRI processing strategies in differentiating MSA patients with variable atrophy patterns from PD patients. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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spelling pubmed-67675012019-10-03 Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis Krismer, Florian Seppi, Klaus Göbel, Georg Steiger, Ruth Zucal, Isabel Boesch, Sylvia Gizewski, Elke R. Wenning, Gregor K. Poewe, Werner Scherfler, Christoph Mov Disord Research Articles BACKGROUND: Manual width measurements of the middle cerebellar peduncle on MRI were shown to improve the accuracy of an imaging‐guided diagnosis of multiple system atrophy (MSA). Recently, automated volume segmentation algorithms were able to reliably differentiate patients with Parkinson's disease (PD) and the parkinsonian variant of MSA. The objective of the current study was to integrate probabilistic information of the middle cerebellar peduncle into an existing MRI atlas for automated subcortical segmentation and to evaluate the diagnostic properties of the novel atlas for the differential diagnosis of MSA (parkinsonian and cerebellar variant) versus PD. METHODS: Three Tesla MRI scans of 48 healthy individuals were used to establish an automated whole‐brain segmentation procedure that includes the volumes of the putamen, cerebellar gray and white matter, and the middle cerebellar peduncles. Classification accuracy of segmented volumes were tested in early‐stage MSA patients (18 MSA‐parkinsonism, 13 MSA‐cerebellar) and 19 PD patients using a C4.5 classifier. RESULTS: Putaminal and infratentorial atrophy were present in 77.8% and 61.1% of MSA‐parkinsonian patients, respectively. Four of 18 MSA‐parkinsonian patients (22.2%) had infratentorial atrophy without evidence of putaminal atrophy. Infratentorial atrophy was present in all MSA‐cerebellar patients, with concomitant putaminal atrophy in 46.2% of these cases. The diagnostic algorithm using putaminal and infratentorial volumetric information correctly classified all PD patients and 96.8% of MSA patients. CONCLUSIONS: The middle cerebellar peduncle was successfully integrated into a subcortical segmentation atlas, and its excellent diagnostic accuracy outperformed existing volumetric MRI processing strategies in differentiating MSA patients with variable atrophy patterns from PD patients. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. John Wiley & Sons, Ltd 2019-03-28 2019-07 /pmc/articles/PMC6767501/ /pubmed/30919495 http://dx.doi.org/10.1002/mds.27669 Text en © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Krismer, Florian
Seppi, Klaus
Göbel, Georg
Steiger, Ruth
Zucal, Isabel
Boesch, Sylvia
Gizewski, Elke R.
Wenning, Gregor K.
Poewe, Werner
Scherfler, Christoph
Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title_full Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title_fullStr Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title_full_unstemmed Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title_short Morphometric MRI profiles of multiple system atrophy variants and implications for differential diagnosis
title_sort morphometric mri profiles of multiple system atrophy variants and implications for differential diagnosis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767501/
https://www.ncbi.nlm.nih.gov/pubmed/30919495
http://dx.doi.org/10.1002/mds.27669
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