Machine Learning Model for Risk Stratification of Papillary Thyroid Carcinoma Based on Radiopathomics.
Journal:
Academic radiology
PMID:
39870562
Abstract
RATIONALE AND OBJECTIVES: This study aims to develop a radiopathomics model based on preoperative ultrasound and fine-needle aspiration cytology (FNAC) images to enable accurate, non-invasive preoperative risk stratification for patients with papillary thyroid carcinoma (PTC). The model seeks to enhance clinical decision-making by optimizing preoperative treatment strategies.