一种新型的诺莫图谱,用于预测老年早期肝细胞癌患者的预后,这些患者经过了废除疗法

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Updated: Jul 21, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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Xiaomeng Tang1,2,3,4, Qi Wang2,3,4, Ronghua Jin2,3,4

  • 1Interventional Therapy Center for Oncology, Beijing You'an Hospital, Capital Medical University, Beijing, People's Republic of China.

Journal of hepatocellular carcinoma
|May 22, 2024
PubMed
概括

一个新的预后模型预测,在老年患者的射频切除后,肝癌的早期复发. 这种工具有助于早期干预,改善肝细胞癌患者的治疗结果和生活质量.

关键词:
欧洲卫生健康委员会 (EHCC) 的研究人员.年长的老人老年人老年人.肝细胞癌是肝细胞癌.预测模型的预测模型.无线电频率剥离方式这是一个复发的复发.

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