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Copyright ©The Author(s) 2020.
Artif Intell Gastroenterol. Nov 28, 2020; 1(4): 71-85
Published online Nov 28, 2020. doi: 10.35712/aig.v1.i4.71
Table 5 Previous studies on the radiological diagnosis of gastric cancer using radiomics or artificial intelligence
Ref.
Targets
Sample size
Input
Task
Analysis method
Diagnostic performance
Li et al[57] GC, radical surgery181 casesPrimary tumor, preoperative CTPrediction of survivalManual segmentation, radiomics, NomogramsThe TNM stage and radiomics signature were good biomarkers
Zhang et al[58] GC, radical surgery669 cases Primary tumor, preoperative CTPredication of early recurrenceManual segmentation, radiomics, NomogramsAUC: 0.806-0.831
Li et al[59] GC, radical surgery204 casesPrimary tumor, pre-operative dual-energy CTPre-operative diagnosis of LNMManual segmentation, radiomics, NomogramAUC; 0.82--.84
Li et al[60] GC, radical surgery554 casesPrimary tumor, preoperative CTPrediction of a pathological status, survivalSemi-automatic segmentation, radiomicsAUC for prediction of the pathological status: 0.77, the TNM stage and radiomics signature were good biomarkers
Wang et al[61] GC, radical surgery187 casesPrimary tumor, preoperative dynamic CTPre-operative prediction of intestinal-type GCManual segmentation, radiomics, NomogramsAUC: 0.904
Jiang et al[62] GC, surgery214 casesPrimary tumor, preoperative PET-CTPrediction of survivalManual segmentation, radiomics, NomogramsC-index: DFS, 0.800; OS, 0.786
Chen et al[63] GC, surgery146 casesPrimary tumor, preoperative MRIPre-operative diagnosis of lymph node metastasisManual segmentation, radiomics analysisAUC: 0.878
Gao et al[64] GC, surgery627 cases, 17340 imagesLymph nodes, preoperative CTPre-operative diagnosis of lymph node metastasisManual segmentation, deep learningAUC: 0.9541.
Huang et al[65] GC, surgeryPrimary tumor, preoperative CTPre-operative diagnosis of peritoneal metastasisManual segmentation, CNNOngoing, retrospective cross-sectional study