Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker.

Bingxi HeDi DongYunlang SheCaicun ZhouMengjie FangYongbei ZhuHenghui ZhangZhipei HuangTao JiangJie TianChang Chen

Published in: Journal for immunotherapy of cancer (2021)

By combining deep learning technology and CT images, we developed an individual non-invasive biomarker that could distinguish High-TMB from Low-TMB, which might inform decisions on the use of ICIs in patients with advanced NSCLC.

Keyphrases

advanced non small cell lung cancer
deep learning
epidermal growth factor receptor
convolutional neural network
artificial intelligence
computed tomography
small cell lung cancer
image quality
machine learning
magnetic resonance imaging
tyrosine kinase
magnetic resonance
pet ct