Copyright: ©Author(s) 2026.
World J Gastroenterol. Aug 28, 2026; 32(32): 120382
Published online Aug 28, 2026. doi: 10.3748/wjg.120382
Published online Aug 28, 2026. doi: 10.3748/wjg.120382
Figure 7 Prognostic value of the gastric artificial intelligence-based tumor-infiltrating lymphocytes index in early gastric cancer.
A and B: Kaplan-Meier curves for disease-free survival and overall survival (OS) stratified by the median gastric artificial intelligence-based tumor-infiltrating lymphocytes (G-AI-TIL) cut-off of 28.5% (log-rank test). The high G-AI-TIL group exhibited significantly better survival outcomes; C: Forest plot of multivariate Cox regression analysis for OS, identifying high G-AI-TIL ( ≥ 28.5%) as an independent protective factor alongside risk factors such as age and submucosal invasion; D: A prognostic nomogram predicting 3- and 5-year OS probabilities by integrating G-AI-TIL, age, and invasion depth, with matching calibration curves demonstrating high accuracy (C-index = 0.81). EGC: Early gastric cancer; HR: Hazard ratio; CI: Confidence interval; G-AI-TIL: Gastric artificial intelligence-based tumor-infiltrating lymphocytes.
- Citation: Fan Y, Wang SN, Jiang B, Li YY, Zhu CY, Liao XH, Zhang FS, Wang YK. Automatic recognition of tumour-infiltrating lymphocytes in pathological biopsy images of the gastric mucosa. World J Gastroenterol 2026; 32(32): 120382
- URL: https://www.wjgnet.com/1007-9327/full/v32/i32/120382.htm
- DOI: https://dx.doi.org/10.3748/wjg.120382