Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer.

Journal: World journal of gastrointestinal oncology
Published Date: May 15, 2025

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is a major global contributor to cancer-related mortality, with advanced stages presenting substantial therapeutic challenges. Although targeted immunotherapy shows potential, many patients exhibit poor responses, underscoring the need for predictive tools to optimize treatment strategies. Emerging data indicate that ultrasound features (, tumor stiffness) and serum biomarkers may serve as predictors of treatment outcomes. However, an integrated model for these predictors remains unavailable. This paper introduces a machine learning-based approach that combines ultrasound and serological data to forecast immunotherapy efficacy in patients with advanced HCC.

Authors

  • Hai-Bin Tu
    Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China. thb861126@163.com.
  • Si-Yi Feng
    Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China.
  • Li-Hong Chen
    Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China.
  • Yu-Jie Huang
    Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, 80778, Taiwan, ROC. yjhuang@adm.cgmh.org.tw.
  • Ju-Zhen Zhang
    Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China.
  • Su-Yu Peng
    Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China.
  • Ding-Luan Lin
    Department of Positron Emission Tomography, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, Fujian Province, China.
  • Xiao-Jian Ye
    Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350001, Fujian Province, China.

Keywords

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