Abstract #2966

The value of DWI in the pre-treatment prediction of progression in Nasopharyngeal Carcinoma based on MRI radiomics

Miaoru Zhang¹, Sulan Wei¹, Tianran Li¹, Haiyan Pan¹, Qian Yang¹, Long Qian², Shuangfeng Dai³, and Dehong Luo¹

¹Department of Diagnostic Radiology, Cancer Hospital, Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China, ²GE Healthcare, MR Research China, Beijing, China, ³Huiying Medical Technology Co., Ltd., Beijing, China

Radiomics provides a new evaluation method for the prognosis of nasopharyngeal carcinoma (NPC) by extracting high throughput of quantitative descriptors from routinely acquired medical images. However, the research of the prognosis prediction of NPC based on radiomics derived from DWI images hasn’t been reported yet. The present study explores the value of DWI images in the pretreatment predictive of NPC with radiomics methods. By comparing the performance of three classifiers and different MRI sequences, we found that combined DWI and T2W showed optimal pretreatment predictive performance of NPC.

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