Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real-world multisite study.
classification
multisite study
schizophrenia
structural MRI
voxel-based morphometry
Journal
Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551
Informations de publication
Date de publication:
Jan 2020
Jan 2020
Historique:
received:
02
04
2019
revised:
07
09
2019
accepted:
13
09
2019
pubmed:
7
10
2019
medline:
24
11
2020
entrez:
7
10
2019
Statut:
ppublish
Résumé
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. 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. 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%. 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.
Identifiants
pubmed: 31587444
doi: 10.1111/pcn.12934
pmc: PMC6972978
doi:
Types de publication
Journal Article
Multicenter Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
56-63Subventions
Organisme : Brain/MINDS
ID : JP18dm0207006
Organisme : Brain/MINDS beyond
ID : JP18dm0307002
Organisme : Grants-in-Aid for Scientific Research
ID : JP16H05375
Organisme : Grants-in-Aid for Scientific Research
ID : JP18K18164
Organisme : Grants-in-Aid for Scientific Research
ID : JP25293250
Organisme : Japan Agency for Medical Research and Development
ID : 16dk0307031h0003
Informations de copyright
© 2019 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.
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