Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography videos

Abstract Background Transcatheter arterial chemoembolization (TACE) is the mainstay of therapy for intermediate-stage hepatocellular carcinoma (HCC); yet its efficacy varies between patients with the same tumor stage. Accurate prediction of TACE response remains a major concern to avoid overtreatmen...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Lu Zhang, Yicheng Jiang, Zhe Jin, Wenting Jiang, Bin Zhang, Changmiao Wang, Lingeng Wu, Luyan Chen, Qiuying Chen, Shuyi Liu, Jingjing You, Xiaokai Mo, Jing Liu, Zhiyuan Xiong, Tao Huang, Liyang Yang, Xiang Wan, Ge Wen, Xiao Guang Han, Weijun Fan, Shuixing Zhang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BMC 2022-05-01
Saila:Cancer Imaging
Gaiak:
Hepatocellular carcinoma
Transcatheter arterial chemoembolization
Deep learning
DSA videos
Sarrera elektronikoa:https://doi.org/10.1186/s40644-022-00457-3
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