Effectiveness of RapidPlan in Combination with Multicriteria Optimization for Cervix Radiotherapy Planning

This study aimed to explore the construction method of a RapidPlan (RP) model for cervical cancer based on knowledge-based planning (KBP) and to evaluate the effect of its combined application with multicriteria optimization (MCO) technology.

Eighty cervical cancer patients treated with postoperative radiotherapy in our hospital were retrospectively selected and then randomly divided into two groups: 60 patients for model training and 20 patients for testing. Using professional algorithms and software tools, we constructed an RP model. This model was then combined with MCO technology to design and optimize treatment plans for cervical cancer cases, generating a combined RP_MCO plan. We statistically compared and analyzed the differences in planning efficiency and dosimetric parameters, such as target coverage and doses to organs at risk (OARs), between the combined plan and traditional manual plans (MPs).

The RP_MCO group significantly reduced the planning time compared to the MP group and the MP_MCO group. Specifically, the RP_MCO group decreased the planning time by 15.2 min compared to the MP group (P < 0.001). In terms of target dose, compared to MP, RP_MCO improved RP_MCO improved target coverage, increasing the minimum dose by 0.58 Gy (P < 0.05), reducing the maximum dose by 0.72 Gy (P < 0.01), and enhancing GI by 0.57 (P < 0.001). The RP_MCO group showed better OAR protection than the MP and MP_MCO groups and also had advantages over the RP group in some OAR protection.

The combination of the KBP-based RP model and MCO provides a more efficient and higher-quality planning design scheme for cervical cancer radiotherapy. This approach is expected to enhance treatment outcomes and promote the quality of life for cervical cancer patients in clinical practice.