Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.

Ziming XuChao AnFeng ShiHe RenYuze LiSong ChenJiaqi DouYajie WangShaozhen YanJie LuHuijun Chen

Published in: European radiology (2023)

• Deep learning radiomic nomogram (DLRN) based on automatic segmentation of CECT can accurately predict hepatic arterial infusion chemotherapy (HAIC) response of advanced HCC patients. • The proposed prediction model can perform survival risk stratification and is an easy-to-use tool for personalized pre-treatment decision-making for advanced HCC patients.

Keyphrases

deep learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
machine learning
artificial intelligence
convolutional neural network
low dose
prognostic factors
combination therapy