Evidence map›Paper›PMID 41163758›Full record

ArticleJournal of medical physics

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

Xin Li, Hongying Feng, Jing Li, Huazhong Huang, Zhuo Kong, Wenwu Hu

Abstract read
In one paragraph

Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xin LiDepartment of Radiation Oncology, The Second People's Hospital of China Three Gorges University, Yichang, Hubei, China.
Hongying FengDepartment of College of Mathematics and Physics, China Three Gorges University, Yichang, Hubei, China.
Jing LiDepartment of Radiation Oncology, The Second People's Hospital of China Three Gorges University, Yichang, Hubei, China.
Huazhong HuangDepartment of Radiation Oncology, The Second People's Hospital of China Three Gorges University, Yichang, Hubei, China.
Zhuo KongDepartment of Radiation Oncology, The Second People's Hospital of China Three Gorges University, Yichang, Hubei, China.
Wenwu HuDepartment of Radiation Oncology, The Second People's Hospital of China Three Gorges University, Yichang, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: 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. Methods: 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). Results: 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 ( Conclusion: 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.

Indexed as

Cervical cancerknowledge-based planningmulticriteria optimizationRapidPlan

Identifiers

PMID41163758
PMCPMC12560982

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