crossrefCancers2026-03-11
Unlocking Tumor Aggressiveness in Endometrial Cancer: AI-Driven PET/CT Radiomics and Machine Learning for Prediction of High-Risk Tumor Histology
Samet Yagci, Evrim Erdemoglu, Mehmet Erdogan, Mustafa Avci, Ahmet Tunc, Ismail Ozkoc, et al.
Purpose: Accurate preoperative risk stratification in endometrial cancer (EC) is essential for guiding surgical and therapeutic decisions. This study aimed to evaluate the discriminative performance of [18F]-FDG PET/CT-derived radiomic features combined with machine learning mode…