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Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics
更新时间:2025-12-15
    • Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics

    • The latest research has found that machine learning based radiomics models can accurately predict the disease-free survival and overall survival of locally advanced cervical cancer patients after synchronous radiotherapy and chemotherapy, providing reliable basis for diagnosis and treatment decisions and prognosis prediction.
    • Oncoradiology   Vol. 34, Issue 3, Pages: 247-257(2025)
    • DOI:10.19732/j.cnki.2096-6210.2025.03.008    

      CLC:
    • Received:12 March 2025

      Published Online:08 July 2025

      Published:28 June 2025

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  • Meng LI, Shisheng XU, Jiehui Li. Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics[J]. Oncoradiology, 2025, 34(3): 247-257. DOI: 10.19732/j.cnki.2096-6210.2025.03.008.

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Related Author

Xie LI
Haitao HUANG
Huihu LI
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Yun WAN
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Related Institution

Department of ECT, Maoming People’s Hospital
Department of Radiology, Xinyi People’s Hospital, Xinyi
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The Graduate School, Anhui Medical University
The Fifth Clinical Medical College of Anhui Medical University
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