Body / AbdominalAI / InformaticsResearch
MRI habitat and peritumoral radiomics nomogram predicts high-grade prostate cancer preoperatively
Frontiers in oncologyOct 2
A combined MRI radiomics nomogram using intratumoral habitats and peritumoral features predicted high-grade prostate cancer with AUC 0.914 (training), 0.903 (internal), 0.797 (external) in a dual-center study of 274 patients.
- The combined nomogram achieved AUCs of 0.914 (training), 0.903 (internal validation), and 0.797 (external test).
- The 5-mm peritumoral shell yielded the best discriminative performance among peritumoral regions.
- SHAP analysis identified habitat shape sphericity as the most influential feature; the model performed similarly in peripheral and transition zones (AUCs 0.796 and 0.753).
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