ArticleFrontiers in oncology2021
Support Vector Machine Model Predicts Dose for Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer.
Article in Frontiers in oncology, 2021. 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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Who cites it
2 citing papers in PubMed.
- Targeted Nanoboron Delivery Platform for Boron Neutron Capture Therapy in Refractory Solid Tumors.International journal of nanomedicine · 2026Review
- A personalized DVH prediction model for HDR brachytherapy in cervical cancer treatment.Frontiers in oncology · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
introductionThis study aimed to establish a support vector machine (SVM) model to predict the dose for organs at risk (OARs) in intracavitary brachytherapy planning for cervical cancer with tandem and ovoid treatments.
methodsFifty patients with loco-regionally advanced cervical cancer treated with 200 CT-based tandem and ovoid brachytherapy plans were included. The brachytherapy plans were randomly divided into the training (N = 160) and verification groups (N = 40). The bladder, rectum, sigmoid colon, and small intestine were divided into sub-OARs. The SVM model was established using MATLAB software based on the sub-OAR volume to predict the bladder, rectum, sigmoid colon, and small intestine
resultsThe
conclusionThe SVM model established in this study can effectively predict the
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