Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy

OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative adjuvant treatment and monitoring. We aimed to explore the feasibility of deep learning (DL) features derived from gadoxetat...

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Detalles Bibliográficos
Autores principales: Yan, Meng, Zhang, Xiao, Zhang, Bin, Geng, Zhijun, Xie, Chuanmiao, Yang, Wei, Zhang, Shuixing, Qi, Zhendong, Lin, Ting, Ke, Qiying, Li, Xinming, Wang, Shutong, Quan, Xianyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289921/
https://www.ncbi.nlm.nih.gov/pubmed/36786905
http://dx.doi.org/10.1007/s00330-023-09419-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289921/
https://www.ncbi.nlm.nih.gov/pubmed/36786905
http://dx.doi.org/10.1007/s00330-023-09419-0

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