Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors
Abstract Objective To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarterial chemoembolization (TACE)-hepatic arteri...
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Main Authors: | Linan Yin, Ruibao Liu, Wei Li, Shijie Li, Xunbo Hou |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | BMC Gastroenterology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12876-024-03555-7 |
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