TY - JOUR
T1 - Individual voxel-based morphometry adjusting covariates in multiple system atrophy
AU - Ebina, Junya
AU - Hara, Kazuhiro
AU - Watanabe, Hirohisa
AU - Kawabata, Kazuya
AU - Yamashita, Fumio
AU - Kawaguchi, Atsushi
AU - Yoshida, Yusuke
AU - Kato, Toshiyasu
AU - Ogura, Aya
AU - Masuda, Michihito
AU - Ohdake, Reiko
AU - Mori, Daisuke
AU - Maesawa, Satoshi
AU - Katsuno, Masahisa
AU - Kano, Osamu
AU - Sobue, Gen
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85114097180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114097180&partnerID=8YFLogxK
U2 - 10.1016/j.parkreldis.2021.07.025
DO - 10.1016/j.parkreldis.2021.07.025
M3 - Article
C2 - 34481140
AN - SCOPUS:85114097180
SN - 1353-8020
VL - 90
SP - 114
EP - 119
JO - Parkinsonism and Related Disorders
JF - Parkinsonism and Related Disorders
ER -