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Study on optimizing the prediction model for microvascular invasion in hepatocellular carcinoma by integrating peripheral blood immune cells and FS-T2WI radiomics
更新时间：2025-12-15

    • Study on optimizing the prediction model for microvascular invasion in hepatocellular carcinoma by integrating peripheral blood immune cells and FS-T2WI radiomics

    • “The latest research has found that incorporating peripheral blood immune cells into machine learning models can significantly improve the performance of predicting microvascular invasion in hepatocellular carcinoma, with the XGBoost model performing the best.”
    • Oncoradiology   Vol. 34, Issue 4, Pages: 396-404(2025)

    • DOI：10.19732/j.cnki.2096-6210.2025.04.011    

      CLC：

    • Received：06 May 2025，

      Published Online：04 September 2025，

      Published：28 August 2025

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  • Pengfei YANG, Yiping GAO, Mingxia JIANG, et al. Study on optimizing the prediction model for microvascular invasion in hepatocellular carcinoma by integrating peripheral blood immune cells and FS-T2WI radiomics[J]. Oncoradiology, 2025, 34(4): 396-404. DOI： 10.19732/j.cnki.2096-6210.2025.04.011.

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