2024-03-28T14:53:22Z
https://tsukuba.repo.nii.ac.jp/oai
oai:tsukuba.repo.nii.ac.jp:00054110
2022-04-27T09:28:14Z
2780:4959
3:62:5598:7843
Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real‐world multisite study
根本, 清貴
ネモト, キヨタカ
NEMOTO, Kiyotaka
Shimokawa, Tetsuya
Fukunaga, Masaki
Yamashita, Fumio
Tamura, Masashi
Yamamori, Hidenaga
Yasuda, Yuka
Azechi, Hirotsugu
Kudo, Noriko
Watanabe, Yoshiyuki
Kido, Mikio
Takahashi, Tsutomu
Koike, Shinsuke
Okada, Naohiro
Hirano, Yoji
Onitsuka, Toshiaki
Yamasue, Hidenori
Suzuki, Michio
Kasai, Kiyoto
Hashimoto, Ryota
Arai, Tetsuaki
Aim
Neuroimaging studies have revealed that patients with schizophrenia exhibit reduced gray matter volume in various regions. With these findings, various studies have indicated that structural MRI can be useful for the diagnosis of schizophrenia. However, multisite studies are limited. Here, we evaluated a simple model that could be used to differentiate schizophrenia from control subjects considering MRI scanner differences employing voxel‐based morphometry.
Methods
Subjects were 541 patients with schizophrenia and 1252 healthy volunteers. Among them, 95 patients and 95 controls (Dataset A) were used for the generation of regions of interest (ROI), and the rest (Dataset B) were used to evaluate our method. The two datasets were comprised of different subjects. Three‐dimensional T1‐weighted MRI scans were taken for all subjects and gray‐matter images were extracted. To differentiate schizophrenia, we generated ROI for schizophrenia from Dataset A. Then, we determined volume within the ROI for each subject from Dataset B. Using the extracted volume data, we calculated a differentiation feature considering age, sex, and intracranial volume for each MRI scanner. Receiver–operator curve analyses were performed to evaluate the differentiation feature.
Results
The area under the curve ranged from 0.74 to 0.84, with accuracy from 69% to 76%. Receiver–operator curve analysis with all samples revealed an area under the curve of 0.76 and an accuracy of 73%.
Conclusion
We moderately successfully differentiated schizophrenia from control using structural MRI from differing scanners from multiple sites. This could be useful for applying neuroimaging techniques to clinical settings for the accurate diagnosis of schizophrenia.
journal article
Wiley
2020-01
application/pdf
Psychiatry and clinical neurosciences
1
74
56
63
1323-1316
AA11040669
https://tsukuba.repo.nii.ac.jp/record/54110/files/PCN_74-1.pdf
eng
31587444
10.1111/pcn.12934
© 2019 The Authors
Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.