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Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real‐world multisite study
http://hdl.handle.net/2241/00159526
http://hdl.handle.net/2241/0015952637996948-299c-47ee-93b3-95f9857b2820
名前 / ファイル | ライセンス | アクション |
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PCN_74-1 (719.8 kB)
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Item type | Journal Article(1) | |||||
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公開日 | 2020-02-03 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real‐world multisite study | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
根本, 清貴
× 根本, 清貴× 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 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. |
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書誌情報 |
en : Psychiatry and clinical neurosciences 巻 74, 号 1, p. 56-63, 発行日 2020-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1323-1316 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11040669 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 31587444 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1111/pcn.12934 | |||||
権利 | ||||||
権利情報 | © 2019 The Authors | |||||
権利 | ||||||
権利情報 | 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. | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版者 | ||||||
出版者 | Wiley |