ArticleAdvances in radiation oncology
Preplanning prediction of the left anterior descending artery maximum dose based on patient, dosimetric, and treatment planning parameters.
Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors.Clinical and translational radiation oncology · 2021Article
- Knowledge-based radiation treatment planning: A data-driven method survey.Journal of applied clinical medical physics · 2021Review
- Knowledge-based planning for intensity-modulated radiation therapy: A review of data-driven approaches.Medical physics · 2019Review
- Model-based cardiac dose estimation in radiation treatment of left breast cancer.The British journal of radiology · 2018Article
- Technical Challenges of Heart Avoidance for Synchronous Breast and Lung Cancers in a Postmenopausal Female: A Planning Case Report From a Safety-Net Hospital.Advances in radiation oncologyArticle
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
purposeMaximum dose to the left anterior descending artery (LADmax) is an important physical constraint to reduce the risk of cardiovascular toxicity. We generated a simple algorithm to guide the positioning of the tangent fields to reliably maintain LADmax <10 Gy. METHODS AND MATERIALS: Dosimetric plans from 146 consecutive women treated prone to the left breast enrolled in prospective protocols of accelerated whole breast radiation therapy, with a concomitant daily boost to the tumor bed (40.5 Gy/15 fraction to the whole breast and 48 Gy to the tumor bed), provided the training set for algorithm development. Scatter plots and correlation coefficients were used to describe the bivariate relationships between LADmax and several parameters: distance from the tumor cavity to the tangent field edge, cavity size, breast separation, field size, and distance from the tangent field. A logistic sigmoid curve was used to model the relationship of LADmax and the distance from the tangent field. Furthermore, we tested this prediction model on a validation data set of 53 consecutive similar patients.
resultsA lack of linear relationships between LADmax and distance from cavity to LAD (-0.47), cavity size (-0.18), breast separation (-0.02), or field size (-0.28) was observed. In contrast, distance from the tangent field was highly negatively correlated to LADmax (-0.84) and was used in the models to predict LADmax. From a logistic sigmoid model we selected a cut-point of 2.46 mm (95% confidence interval, 2.19-2.74 mm) greater than which LADmax is <10 Gy (95% confidence interval, 9.30-10.72 Gy) and LADmean is <3.3 Gy.
conclusionsPlacing the edge of the tangents at least 2.5 mm from the closest point of the contoured LAD is likely to assure LADmax is <10 Gy and LADmean is <3.3 Gy in patients treated with prone accelerated breast radiation therapy.
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Registered trials
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