Copyright: ©Author(s) 2026.
World J Gastroenterol. Sep 7, 2026; 32(33): 119646
Published online Sep 7, 2026. doi: 10.3748/wjg.119646
Published online Sep 7, 2026. doi: 10.3748/wjg.119646
Figure 3 Multivariable logistic regression analysis in the training cohort.
A: For the tongue-only model. Forest plot of odds ratios (ORs) and 95% confidence interval (CIs) for the seven least absolute shrinkage and selection operator-selected tongue-image predictors entered simultaneously into the multivariable model; four predictors were retained in the final tongue-only model; B: For the tongue image-clinical model. Forest plot of ORs and 95%CIs for prespecified clinical predictors and tongue-image predictors entered simultaneously into the multivariable model. Anterior tongue brightness (V) was not retained in the final model (P = 0.059). OR: Odds ratio; CI: Confidence interval; TB: Tongue body; TC: Tongue coating; H: Hue in hue, saturation, value color space; V: Brightness (value) in hue, saturation, value color space; CRC: Colorectal cancer; a*: Red green axis in CIELAB color space; b*: Yellow-blue axis in CIELAB color space.
- Citation: Zhang J, Zhu ML, Xie YX, Fan YQ, Zhang W, Liu SS, Yu XM, Wang W, Fu XY. Development and validation of a tongue image-clinical nomogram for detection of advanced colorectal adenoma. World J Gastroenterol 2026; 32(33): 119646
- URL: https://www.wjgnet.com/1007-9327/full/v32/i33/119646.htm
- DOI: https://dx.doi.org/10.3748/wjg.119646