Preoperative prediction of recurrence risk factors in operable cervical cancer based on clinical-radiomics features

The fusion model constructed based on bp-MRI radiomics features combined with clinical features provides an important reference for predicting the risk status of recurrence in operable cervical cancer. The findings of this study are preliminary exploratory results, and further large-scale, multicenter studies are needed to validate these findings.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-02-28
DOI
https://doi.org/10.3389/fonc.2025.1492494
Citations
2
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
4.11
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article

Preoperative prediction of recurrence risk factors in operable cervical cancer based on clinical-radiomics features

Chunbao Chen, Xue Du, Min Li, Lu Yang et al.
2 citations
Frontiers in Oncology
Endometrial and Cervical Cancer Treatments
4.11
article

Preoperative prediction of recurrence risk factors in operable cervical cancer based on clinical-radiomics features

Chunbao Chen, Xue Du, Min Li, Lu Yang, Yu Cui
article en
2 citations

Abstract

The fusion model constructed based on bp-MRI radiomics features combined with clinical features provides an important reference for predicting the risk status of recurrence in operable cervical cancer. The findings of this study are preliminary exploratory results, and further large-scale, multicenter studies are needed to validate these findings.

Frontiers in OncologyVol. 15
North Sichuan Medical University (CN), Affiliated Hospital of North Sichuan Medical College (CN)
Good health and well-being
Openalex Percentile: Top 9%
Endometrial and Cervical Cancer Treatments
4.11
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