Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma

Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma

Abstract Background While triplet therapy (HTI), which combines hepatic arterial infusion chemotherapy (HAIC) with tyrosine kinase inhibitors and immune checkpoint inhibitors, is widely used in the treatment of large hepatocellular carcinoma (HCC), there are few reports about its efficacy versus HAI...

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Bibliographic Details
Main Authors: Chunyu Lin, Yong Ren, Yu Huang, Shuqi Li, Jing Zhang, Shuai Kang, Shurong Li, Changxuan You, Qinghua Cao, Fang Liu
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Cancer Imaging
Subjects:
Hepatocellular carcinoma
Hepatic arterial infusion chemotherapy
Tyrosine kinase inhibitors
Immune checkpoint inhibitors
Histopathologic image
Deep learning
Online Access:https://doi.org/10.1186/s40644-025-00885-x
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https://doi.org/10.1186/s40644-025-00885-x

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