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Updated: May 17, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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预测治疗反应和基于免疫检查点抑制剂的综合疗法的预后在晚期肝细胞癌使用纵向CT-based radiomics模型:一个多中心研究研究

Jun Xu1,2,3,4, Junjun Li5, Tengfei Wang6,7,8

  • 1Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, People's Republic of China.

BMC cancer
|April 4, 2025
PubMed
概括

一个新的放射学模型准确地预测了接受免疫检查点抑制剂 (ICI) 组合治疗的晚期肝细胞癌 (HCC) 患者的治疗反应和预后. 这一工具有助于个性化治疗HCC的决策.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.肝细胞癌是肝细胞癌.免疫检查点抑制剂 免疫检查点抑制剂机器学习 机器学习无线电学 (Radiomics) 是一种无线电学.

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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