ArticleClinical and translational radiation oncology2023
Incorporating axillary-lateral thoracic vessel juncture dosimetric variables improves model for predicting lymphedema in patients with breast cancer: A validation analysis.
Article in Clinical and translational radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Dosimetric comparison of the shoulder region between paired photon and proton plans in breast cancer patients.Technical innovations & patient support in radiation oncology · 2026Article
- Dose to the axillary-lateral thoracic vessel junction predicts breast cancer-related lymphedema after postmastectomy radiotherapy: development and temporal validation of NTCP and nomogram models.World journal of surgical oncology · 2026Article
- Breast cancer related lymphedema and shoulder mobility following radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Dosimetric Feasibility of Tomotherapy-Based Selective Axillary Sparing Regional Nodal Irradiation for Lymphedema Risk Reduction in Breast Cancer.Medicina (Kaunas, Lithuania) · 2025Article
- Lymphedema and Axillary-Lateral Thoracic Vessel Juncture Irradiation: A Clinical Dilemma.European journal of breast health · 2025Article
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13 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Background: A relationship between the axillary-lateral thoracic vessel juncture (ALTJ) dose and lymphedema rate has been reported in patients with breast cancer. The purpose of this study was to validate this relationship and explore whether incorporation of the ALTJ dose-distribution parameters improves the prediction model's accuracy. Methods: A total of 1,449 women with breast cancer who were treated with multimodal therapies from two institutions were analyzed. We categorized regional nodal irradiation (RNI) as limited RNI, which excluded level I/II, vs extensive RNI, which included level I/II. The ALTJ was delineated retrospectively, and dosimetric and clinical parameters were analyzed to determine the accuracy of predicting the development of lymphedema. Decision tree and random forest algorithms were used to construct the prediction models of the obtained dataset. We used Harrell's C-index to assess discrimination. Results: The median follow-up time was 77.3 months, and the 5-year lymphedema rate was 6.8 %. According to the decision tree analysis, the lowest lymphedema rate (5-year, 1.2 %) was observed in patients with ≤ six removed lymph nodes and ≤ 66 % ALTJ V Conclusion: The prognostic value of ALTJ for lymphedema was externally validated. The estimation of lymphedema risk based on individual dose-distribution parameters of the ALTJ seemed more reliable than that based on the conventional RNI field design.
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