ArticleBMC cancer2025
Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Analysis of prognostic factors in patients with locally advanced cervical squamous cell carcinoma and development of a nomogram prediction model.Frontiers in oncology · 2026Article
- A machine learning-based framework for prognostic prediction and tumor microenvironment characterization of locally advanced cervical cancer with concurrent chemoradiotherapy.NPJ precision oncology · 2025Article
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7 authors.
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Abstract
backgroundAlthough concurrent chemoradiotherapy (CCRT) is the standard treatment strategy for locally advanced cervical squamous carcinoma (LACSC), there are still individual differences. It is of vital importance to establish a radiomics-based model for predicting overall survival (OS) of LACSC patients treated using CCRT, and evaluating the feasibility of adjuvant chemotherapy (ACT).
methods122 LACSC patients were retrospectively analyzed who underwent pelvic MRI before standard CCRT between January 2013 and September 2016, including 85 patients in training set and 37 patients in testing set. 3D Slicer was used to segment images and extract features. IPMs software was used to select features and construct radscore. We selected the group with the largest area under the curves as the best result from 150 feature subsets and corresponding radscore. A nomogram was established using univariate and multivariate Cox analyses. We used Shapley Additive Explanations (SHAP) for further interpretation of the nomogram. Kaplan-Meier curves demonstrated the associations of radscore and clinical characteristics with OS and ACT.
resultsRadscore was a prognostic factor (P = 0.001) which constructed using 10 radiomics features influencing the OS of patients with LACSC treated using CCRT. The radiomics-clinical model estimated OS (training, C-index: 0.761; testing, C-index: 0.718) more accurately than the clinical (training, C-index: 0.745; testing, C-index: 0.708) and radiomics models (training, C-index: 0.702; testing, C-index: 0.671). Radscore has the greatest impact on the prognosis of LACSC patients. We combined radscore and clinical factors to obtain risk scores. There was a better OS rate among low-risk patients than among high-risk patients (training, P = 0.034; testing, P = 0.003). Compared with CCRT, ACT + CCRT did not improve prognosis (high-risk patients, P = 0.703; all patients, P = 0.425).
conclusionsRadscore independently predicted OS in LACSC. The radiomics-clinical nomogram improved individualized OS estimation. Patients did not benefit from ACT.
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