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©The Author(s) 2025.
World J Gastroenterol. Apr 7, 2025; 31(13): 104466
Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104466
Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104466
Figure 7 Time-dependent receiver operating characteristic curve analysis and decision curve analysis of the xTRM-P staging system and the 8th edition American Joint Committee on Cancer tumor node metastasis staging system.
A: Time-dependent receiver operating characteristic curve (ROC) analysis of the xTRM-P staging system in the training set; B: Time-dependent ROC analysis of the 8th edition American Joint Committee on Cancer tumor node metastasis (AJCC TNM) staging system in the training set; C: Time-dependent ROC analysis of the xTRM-P staging system in the validation set; D: Time-dependent ROC analysis of the 8th edition AJCC TNM staging system in the validation set; E: Decision curve analysis (DCA) of the xTRM-P staging system and the 8th edition AJCC TNM staging system in the training set; F: DCA of the xTRM-P staging system and the 8th edition AJCC TNM staging system in the validation set. ROC: Receiver operating characteristic curve; DCA: Decision curve analysis.
- Citation: Zhang YL, Song HB, Xue YW. Machine learning-based reconstruction of prognostic staging for gastric cancer patients with different differentiation grades: A multicenter retrospective study. World J Gastroenterol 2025; 31(13): 104466
- URL: https://www.wjgnet.com/1007-9327/full/v31/i13/104466.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i13.104466