European journal of radiologyHumansMachine LearningFemaleMaleTomography
Development and validation of an interpretable machine learning model for predicting intraoperative HDI in PPGL based on intratumoral and peritumoral CT radiomics.
Shurong Li, Zhiqiang Zhang, Yubing Zhang, Yulong Chen, Jian Ling, Qingfen Hong, Xuanling Wu, Fufu Zheng, Cheng Luo
Published: 202610.1016/j.ejrad.2025.112559
Abstract
PURPOSE: Intraoperative hemodynamic instability (HDI) might lead to severe complications for pheochromocytoma and paraganglioma (PPGL) patients. This study aims to construct a machine learning (ML) model to predict HDI based on intratumoral and perit…
Preview only. Read the full abstract at the source