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An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study

Hai Liao, Yang Zhao, Wei Pei, Xia Huang, Shi‐Ting Huang, Wei Wei, P H Lai, Weifeng Jin, Huayan Bao, Xueli Liang, Lei Xiao, Zhenyu Chen, Shaolu Lu, Danke Su, Bingfeng Lu, Linghui Pan

2025European Radiology10 citationsDOI

Topics & Concepts

MedicineNasopharyngeal carcinomaInduction chemotherapyNeuroradiologyRadiomicsHazard ratioInternal medicineMachine learningOncologyOverall survivalRadiation therapyMedical physicsRadiologyComputer scienceNeurologyConfidence intervalPsychiatryHead and Neck Cancer StudiesRadiomics and Machine Learning in Medical ImagingAdvanced Radiotherapy Techniques
An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study | Litcius