Deep learning-based 3D quantitative total tumor burden predicts early recurrence of BCLC A and B HCC after resection.

Hong WeiTianying ZhengXiaolan ZhangChao ZhengDifei JiangYuanan WuJeong Min LeeMustafa R BashirEmily LernerRongbo LiuBotong WuHua GuoYidi ChenTing YangXiaoling GongHanyu JiangXijiao Liu

Published in: European radiology (2024)

Total tumor burden (TTB) is important for Barcelona Clinic Liver Cancer (BCLC) staging, but is heterogenous. TTB derived by deep learning-based automated segmentation was predictive of postoperative early recurrence. Incorporating TTB into the BCLC algorithm resulted in successful subcategorization of BCLC A and B patients.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
end stage renal disease
newly diagnosed
chronic kidney disease
ejection fraction
primary care
patients undergoing
high resolution
free survival
risk factors
pet ct
single cell