A pre-treatment CT-based weighted radiomic approach combined with clinical characteristics to predict durable clinical benefits of immunotherapy in advanced lung cancer.

Zhenchen ZhuMinjiang ChenGe HuZhengsong PanWei HanWeixiong TanZhen ZhouMengzhao WangLi MaoXiuli LiXin SuiLan SongYan XuWei SongYizhou YuZhengyu Jin

Published in: European radiology (2022)

• Weighted radiomic-based model derived from multiple intrapulmonary lesions on pre-treatment CT images has the potential to predict durable clinical benefits of immunotherapy in lung cancer. • Early line immunotherapy is associated with longer progression-free survival in advanced lung cancer.

Keyphrases

contrast enhanced
free survival
computed tomography
magnetic resonance
magnetic resonance imaging
deep learning
dual energy
machine learning
risk assessment
convolutional neural network
combination therapy
optical coherence tomography
replacement therapy