Individual voxel-based morphometry adjusting covariates in multiple system atrophy

Junya Ebina, Kazuhiro Hara, Hirohisa Watanabe, Kazuya Kawabata, Fumio Yamashita, Atsushi Kawaguchi, Yusuke Yoshida, Toshiyasu Kato, Aya Ogura, Michihito Masuda, Reiko Ohdake, Daisuke Mori, Satoshi Maesawa, Masahisa Katsuno, Osamu Kano, Gen Sobue

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: This study aimed to evaluate whether novel individual voxel-based morphometry adjusting covariates (iVAC), such as age, sex, and total intracranial volume, could increase the accuracy of a diagnosis of multiple system atrophy (MSA) and enable the differentiation of MSA from Parkinson's disease (PD). Methods: We included 53 MSA patients (MSA-C: 33, MSA-P: 20), 53 PD patients, and 189 healthy controls in this study. All participants underwent high-resolution T1-weighted imaging (WI) and T2-WI with a 3.0-T MRI scanner. We evaluated the occurrence of significant atrophic findings in the pons/middle cerebellar peduncle (MCP) and putamen on iVAC and compared these findings with characteristic changes on T2-WI. Results: On iVAC, abnormal findings were observed in the pons/MCP of 96.2% of MSA patients and in the putamen of 80% of MSA patients; however, on T2-WI, they were both observed at a frequency of 60.4% in MSA patients. On iVAC, all but one MSA-P patient (98.1%) showed significant atrophic changes in the pons/MCP or putamen. By contrast, 69.8% of patients with MSA showed abnormal signal changes in the pons/MCP or putamen on T2-WI. iVAC yielded 95.0% sensitivity and 96.2% specificity for differentiating MSA-P from PD. Conclusion: iVAC enabled us to recognize the morphological characteristics of MSA visually and with high accuracy compared to T2-WI, indicating that iVAC is a potential diagnostic screening tool for MSA.

Original languageEnglish
Pages (from-to)114-119
Number of pages6
JournalParkinsonism and Related Disorders
Volume90
DOIs
Publication statusPublished - 09-2021

All Science Journal Classification (ASJC) codes

  • Neurology
  • Geriatrics and Gerontology
  • Clinical Neurology

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