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ROC curves of five models in the training set (A) and test sets (B) . IRM, intratumoral radiomics model; PRM, 6-mm peritumoral radiomics model; CIPRM, combined intra- and 6-mm peritumoral radiomics model; CM, clinical-radiological model; NM, nomogram model.

Journal: Frontiers in Oncology

Article Title: Intra- and peritumoral radiomics nomogram based on DCE-MRI for the early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer

doi: 10.3389/fonc.2025.1561599

Figure Lengend Snippet: ROC curves of five models in the training set (A) and test sets (B) . IRM, intratumoral radiomics model; PRM, 6-mm peritumoral radiomics model; CIPRM, combined intra- and 6-mm peritumoral radiomics model; CM, clinical-radiological model; NM, nomogram model.

Article Snippet: The ROC curves were plotted by Medcalc 19.1.3 software, and AUC, sensitivity, specificity and accuracy were calculated to evaluate the prediction performance of different models.

Techniques: