Abstract #1335

Radiomics model based on MRI for early prediction of radiation encephalopathy in nasopharyngeal carcinoma

Lixuan Huang¹, Zongxiang Yang¹, Hao Ren², Yao Hu¹, Cheng Tang¹, Huiting Zhang³, and Liling Long¹

¹The First Affliated Hospital of Guangxi Medical University, Nanning, China, ²Guangxi Medical University Kaiyuan Langdong Hospital, Nanning, China, ³MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China

Synopsis

Keywords: Head & Neck/ENT, RadiomicsThis study aimed to develop radiomic models based on MRI to investigate the changes of temporal lobe heterogeneity in nasopharyngeal carcinoma (NPC) patients with radiation encephalopathy (REP) during the latent period, and to predict the temporal lobe REP early. Results showed that The AUC of radiomics-clinics combined model was higher than radiomics model and clinics model, with better accuracy. Our study suggested that the radiomics-clinics combined model may be an effective method for the noninvasive prediction of REP in NPC patients after radiotherapy.

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