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©The Author(s) 2024.
World J Gastrointest Oncol. May 15, 2024; 16(5): 1849-1860
Published online May 15, 2024. doi: 10.4251/wjgo.v16.i5.1849
Published online May 15, 2024. doi: 10.4251/wjgo.v16.i5.1849
Figure 4 Performance of the final selected model to predict lymph node metastasis.
A and B: Receiver operating characteristic curves of conventional magnetic resonance imaging (MRI) model, T1-weighted imaging (T1WI) & T2-weighted imaging (T2WI)-Radscore and nomogram to predict lymph node metastasis (LNM) with rectal cancer in training set (A), validation set (B); C: Predictive nomogram of LNM; D: Decision curve analysis of models to investigate the clinical usefulness in predicting LNM. It indicates both T1WI & T2WI-Radscore and nomogram obtain more benefit than “treat all”, “treat none”, and the Conventional MRI model when the threshold probability is > 15%. AUC: Area under the curve; ROC: Receiver operating characteristic.
- Citation: Ye YX, Yang L, Kang Z, Wang MQ, Xie XD, Lou KX, Bao J, Du M, Li ZX. Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer. World J Gastrointest Oncol 2024; 16(5): 1849-1860
- URL: https://www.wjgnet.com/1948-5204/full/v16/i5/1849.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i5.1849