A deep learning MRI-based signature may provide risk-stratification strategies for nasopharyngeal carcinoma.

Chen YangYuan ChenLuchao ZhuLiansheng WangQin Lin

Published in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2023)

Our study highlights the potential of MRI in predicting the prognosis of NPC through DL algorithm. This approach has the potential to become a novel tool for prognosis prediction and can help physicians to develop more valid treatment strategies in the future.

Keyphrases

deep learning
contrast enhanced
magnetic resonance imaging
machine learning
primary care
diffusion weighted imaging
human health
computed tomography
risk assessment
current status