A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.

Li WangTing QiuJiawei ZhouYinsu ZhuBaozhou SunGuanyu YangShengfu HuangLirong Wu Xia He

Published in: Head & neck (2024)

The clinical-radiomics nomogram, integrating clinical features with radiomics features derived from pretreatment multiparametric MRI, exhibits compelling predictive performance for RTLI in patients diagnosed with NPC.

Keyphrases

contrast enhanced
radiation induced
lymph node metastasis
machine learning
magnetic resonance imaging
ejection fraction
newly diagnosed
radiation therapy
magnetic resonance
diffusion weighted imaging
prognostic factors
squamous cell carcinoma
patient reported outcomes