Accuracy comparison of artificial intelligence-assisted diagnosis systems based on 18F-FDG PET/CT and structural MRI in the diagnosis of Alzheimer's disease:a meta-analysis
Objective To conduct a meta-analysis comparing the accuracy of artificial intelligence(AI)-assisted diagnostic systems based on 18F-fluorodeoxyglucose PET/CT(18F-FDG PET/CT)and structural MRI(sMRI)in the diagnosis of Alzheimer's disease(AD).Methods Original studies dedicated to the development or validation of AI-assisted diagnostic systems based on 18F-FDG PET/CT or sMRI for AD diagnosis were retrieved from the Web of Science,PubMed,and Embase databases.Studies meeting the inclusion criteria were collected,and the risk of bias and clinical applicability of the included studies were assessed using the PROBAST checklist.The pooled sensitivity,specificity,and area under the summary receiver operating characteristic(SROC)curve(AUC)were calculated using a bivariate random-effects model.Results Twenty-six studies met the inclusion criteria,yielding a total of 38 2x2 contingency tables related to diagnostic performance.Specifically,24 contingency tables were based on 18F-FDG PET/CT to distinguish AD patients from normal cognitive(NC)controls,and 14 contingency tables were based on sMRI for the same purpose.The meta-analysis results showed that for 18F-FDG PET/CT,the AI-assisted diagnostic systems had a pooled sensitivity,specificity,and SROC-AUC of 89％(95％CI 88％to 91％),93％(95％CI 91％to 94％),and 0.96(95％CI 0.93 to 0.97),respectively.For sMRI,the AI-assisted diagnostic systems had a pooled sensitivity,specificity,and SROC-AUC of 88％(95％CI 85％to 90％),90％(95％CI 87％to 92％),and 0.94(95％CI 0.92 to 0.96),respectively.Conclusion AI-assisted diagnostic systems based on either 18F-FDG PET/CT or sMRI demonstrated similar performance in the diagnosis of AD,with both showing high accuracy.
万方数据
维普
