ArticleJournal of applied clinical medical physics2021
Assessing the performance of an automated breast treatment planning software.
Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Influence of target coverage priority levels on dose homogeneity in commercial automated field-in-field planning for breast radiotherapy.Radiological physics and technology · 2026Article
- Automated fluence optimization in breast cancer radiotherapy: balancing dosimetric quality, organ-at-risk sparing, and workflow efficiency.Radiation oncology (London, England) · 2026Article
- Development of automated whole breast 3D planning with tangential fields.Journal of applied clinical medical physics · 2025Article
- An automated treatment planning portfolio for whole breast radiotherapy.Medical physics · 2025Article
- Automated treatment planning for whole breast irradiation with individualized tangential IMRT fields.Journal of applied clinical medical physics · 2024Article
- Implementation of automated personalised breast radiotherapy planning techniques with scripting in Raystation.The British journal of radiology · 2023Article
- Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer.Physics and imaging in radiation oncology · 2021Article
- Effectiveness of Automated Treatment Planning for Left-sided Breast in Flattening Filter-free Photon Beams.Journal of medical physicsArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the dosimetric performance of an automated breast planning software.
methodsWe retrospectively reviewed 15 breast cancer patients treated with tangent fields according to the RTOG 1005 protocol and 30 patients treated off-protocol. Planning with electronic compensators (eComps) via manual, iterative fluence editing was compared to an automated planning program called EZFluence (EZF) (Radformation, Inc.). We compared the minimum dose received by 95% of the volume (D95%), D90%, the volume receiving at least 105% of prescription (V105%), V95%, the conformity index of the V95% and PTV volumes (CI95%), and total monitor units (MUs). The PTV_Eval structure generated by EZF was compared to the RTOG 1005 breast PTV_Eval structure.
resultsThe average D95% was significantly greater for the EZF plans, 95.0%, vs. the original plans 93.2% (P = 0.022). CI95% was less for the EZF plans, 1.18, than the original plans, 1.48 (P = 0.09). D90% was only slightly greater for EZF, averaging at 98.3% for EZF plans and 97.3% for the original plans (P = 0.0483). V105% (cc) was, on average, 27.8cc less in the EZF breast plans, which was significantly less than for those manually planned. The average number of MUs for the EZF plans, 453, was significantly less than original protocol plans, 500 (P = 8 × 10
conclusionEZF improved dose homogeneity, coverage, and MU efficiency vs. manually produced eComp plans. The EZF-generated PTV eval is based on the volume encompassed by the tangents, and is not appropriate for dosimetric comparison to constraints for RTOG 1005 PTV eval. EZF produced dosimetrically similar or superior plans to manual, iteratively derived plans and may also offer time and efficiency benefits.
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