Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB-IV NSCLC (LCDigital-IO Study): a multicenter retrospective study.
Shaowei WuWeijie ZhanLan LiuDaipeng XieLintong YaoHenian YaoGuoqing LiaoLuyu HuangYubo ZhouPeimeng YouZekai HuangQiaxuan LiBin XuSiyun WangGuangyi WangDong-Kun ZhangGuibin QiaoLawrence Wing-Chi ChanMichael LanutiHaiyu ZhouPublished in: Journal for immunotherapy of cancer (2023)
By analyzing both tumorous and peritumoral regions of CT images in a radiomic strategy, we developed a non-invasive biomarker for distinguishing responders of ICIs therapy and stratifying their survival outcome efficiently, which may support the clinical decisions on the use of ICIs in advanced as well as patients with resectable NSCLC.
Keyphrases
- small cell lung cancer
- advanced non small cell lung cancer
- computed tomography
- deep learning
- image quality
- optical coherence tomography
- brain metastases
- convolutional neural network
- magnetic resonance imaging
- cross sectional
- magnetic resonance
- clinical trial
- machine learning
- liver metastases
- mesenchymal stem cells
- bone marrow
- double blind
- rectal cancer
- tyrosine kinase
- smoking cessation