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©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
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 surgery | 181 cases | Primary tumor, preoperative CT | Prediction of survival | Manual segmentation, radiomics, Nomograms | The TNM stage and radiomics signature were good biomarkers |
Zhang et al[58] | GC, radical surgery | 669 cases | Primary tumor, preoperative CT | Predication of early recurrence | Manual segmentation, radiomics, Nomograms | AUC: 0.806-0.831 |
Li et al[59] | GC, radical surgery | 204 cases | Primary tumor, pre-operative dual-energy CT | Pre-operative diagnosis of LNM | Manual segmentation, radiomics, Nomogram | AUC; 0.82--.84 |
Li et al[60] | GC, radical surgery | 554 cases | Primary tumor, preoperative CT | Prediction of a pathological status, survival | Semi-automatic segmentation, radiomics | AUC for prediction of the pathological status: 0.77, the TNM stage and radiomics signature were good biomarkers |
Wang et al[61] | GC, radical surgery | 187 cases | Primary tumor, preoperative dynamic CT | Pre-operative prediction of intestinal-type GC | Manual segmentation, radiomics, Nomograms | AUC: 0.904 |
Jiang et al[62] | GC, surgery | 214 cases | Primary tumor, preoperative PET-CT | Prediction of survival | Manual segmentation, radiomics, Nomograms | C-index: DFS, 0.800; OS, 0.786 |
Chen et al[63] | GC, surgery | 146 cases | Primary tumor, preoperative MRI | Pre-operative diagnosis of lymph node metastasis | Manual segmentation, radiomics analysis | AUC: 0.878 |
Gao et al[64] | GC, surgery | 627 cases, 17340 images | Lymph nodes, preoperative CT | Pre-operative diagnosis of lymph node metastasis | Manual segmentation, deep learning | AUC: 0.9541. |
Huang et al[65] | GC, surgery | Primary tumor, preoperative CT | Pre-operative diagnosis of peritoneal metastasis | Manual segmentation, CNN | Ongoing, retrospective cross-sectional study |
- Citation: Kudou M, Kosuga T, Otsuji E. Artificial intelligence in gastrointestinal cancer: Recent advances and future perspectives. Artif Intell Gastroenterol 2020; 1(4): 71-85
- URL: https://www.wjgnet.com/2644-3236/full/v1/i4/71.htm
- DOI: https://dx.doi.org/10.35712/aig.v1.i4.71