Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2025 Dec;19(6):1507-1508.
doi: 10.1007/s12072-025-10912-5. Epub 2025 Sep 15.

Comment on "CT-based intratumoral and peritumoral radiomics to predict the treatment response to hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 in high-risk hepatocellular carcinoma cases: a multi-center study"

Zhiyao Shi  1 , Kai Feng  1 , Yu Gao  2 , Xixing Wang  3
Affiliations
Comment

Comment on "CT-based intratumoral and peritumoral radiomics to predict the treatment response to hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 in high-risk hepatocellular carcinoma cases: a multi-center study"

Zhiyao Shi et al. Hepatol Int. 2025 Dec.
No abstract available

PubMed Disclaimer

Conflict of interest statement

Declarations. Conflict of interest: The authors declare no conflicts of interest. Ethical approval: The authors have nothing to report.

Comment on

References

    1. Liu Z, Li X, Huang Y, et al. CT-based intratumoral and peritumoral radiomics to predict the treatment response to hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 in high-risk hepatocellular carcinoma cases: a multi-center study. Hepatol Int. 2025. https://doi.org/10.1007/s12072-025-10877-5 - DOI - PubMed
    1. Song X, Liu X, Liu F, et al. Comparison of machine learning and logistic regression models in predicting acute kidney injury: a systematic review and meta-analysis. Int J Med Inform. 2021;151: 104484. https://doi.org/10.1016/j.ijmedinf.2021.104484 - DOI - PubMed
    1. Peng J, Huang J, Huang G, et al. Predicting the initial treatment response to transarterial chemoembolization in intermediate-stage hepatocellular carcinoma by the integration of radiomics and deep learning. Front Oncol. 2021;11: 730282. https://doi.org/10.3389/fonc.2021.730282 - DOI - PubMed - PMC
    1. Xie T, Gong J, Zhao Q, et al. Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer. BMC Med Imaging. 2024;24(1):136. https://doi.org/10.1186/s12880-024-01311-7 - DOI - PubMed - PMC

LinkOut - more resources