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

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 overtreatment. Thus,...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Lu, Jiang, Yicheng, Jin, Zhe, Jiang, Wenting, Zhang, Bin, Wang, Changmiao, Wu, Lingeng, Chen, Luyan, Chen, Qiuying, Liu, Shuyi, You, Jingjing, Mo, Xiaokai, Liu, Jing, Xiong, Zhiyuan, Huang, Tao, Yang, Liyang, Wan, Xiang, Wen, Ge, Han, Xiao Guang, Fan, Weijun, Zhang, Shuixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101835/
https://www.ncbi.nlm.nih.gov/pubmed/35549776
http://dx.doi.org/10.1186/s40644-022-00457-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101835/
https://www.ncbi.nlm.nih.gov/pubmed/35549776
http://dx.doi.org/10.1186/s40644-022-00457-3

Ejemplares similares