Non-invasive assessment of response to transcatheter arterial chemoembolization for hepatocellular carcinoma with the deep neural networks-based radiomics nomogram.

Journal: Acta radiologica (Stockholm, Sweden : 1987)

Published Date: Mar 15, 2024

Abstract

BACKGROUND: Transcatheter arterial chemoembolization (TACE) is a mainstay treatment for intermediate and advanced hepatocellular carcinoma (HCC), with the potential to enhance patient survival. Preoperative prediction of postoperative response to TACE in patients with HCC is crucial.

Authors

Yushuang Liu

College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao 266061, China. Electronic address: qustlys@126.com.
Zilin Liu

Guangdong Medical University, Zhanjiang, PR China.
Xinhua Li

Department of Infectious Disease, The Third Affiliated Hospital of Sun Yat-sen University No. 600, Tianhe Road, Guangzhou 510630, China.
Weiwen Zhou

Guangdong Medical University, Zhanjiang, PR China.
Lifu Lin

Guangdong Medical University, Zhanjiang, PR China.
Xiaodong Chen

Keywords

Adult Aged Carcinoma, Hepatocellular Chemoembolization, Therapeutic Deep Learning Female Humans Liver Neoplasms Male Middle Aged Neural Networks, Computer Nomograms Radiomics Retrospective Studies Tomography, X-Ray Computed Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (38489805)

Non-invasive assessment of response to transcatheter arterial chemoembolization for hepatocellular carcinoma with the deep neural networks-based radiomics nomogram.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals