Differentiation of hepatocellular carcinoma from hepatic hemangioma using diffusion-derived vessel density map-based radiomics features - Takeaways - MDSpire

Differentiation of hepatocellular carcinoma from hepatic hemangioma using diffusion-derived vessel density map-based radiomics features

  • By

  • Jingwen Yu

  • Lijian Liu

  • Long Qian

  • Wenming Deng

  • Jujian Guo

  • Yijia Zheng

  • Dehong Luo

  • Zhou Liu

  • May 28, 2026

  • 0 min

Share

  • 1

    The study evaluated the diagnostic performance of radiomics features from diffusion-derived Vessel Density (DDVD) in distinguishing HCC from HG.

  • 2

    A total of 232 patients were enrolled, including 104 with HCC and 128 with HG, with a random division into training and testing sets.

  • 3

    Ten informative features were retained from 1,197 initially extracted features, with DDVD showing comparable performance to other models.

  • 4

    The DDVD-based model achieved AUC values of 0.926 in the validation cohort and 0.977 in the independent test cohort.

  • 5

    The study highlights the potential of DDVD in non-invasive differentiation of HCC and HG, which is crucial for appropriate treatment strategies.

Original Source(s)

Differentiation of hepatocellular carcinoma from hepatic hemangioma using diffusion-derived vessel density map-based radiomics features

  • by Jingwen Yu, Lijian Liu, Long Qian, Wenming Deng, Jujian Guo, Yijia Zheng, Dehong Luo, Zhou Liu

  • May 28, 2026

Related Content

Retraction: MicroRNA-935 directly targets FZD6 to inhibit the proliferation of human glioblastoma and correlate to glioma malignancy and prognosis

  • May 28, 2026

From molecular networks to translational intervention: current progress in the mechanisms of gemcitabine resistance in bladder cancer

Evolution of therapeutic paradigms in Hodgkin lymphoma: from “cure-oriented” to “functional cure”