Evaluation of organ motion-based robust optimisation for VMAT planning for breast and internal mammary chain radiotherapy. (May 2019)

• Record Type: Journal Article
• Authors: Dunlop, Alex; Colgan, Ruth; Kirby, Anna; Ranger, Alison; Blasiak-Wal, Irena
• Is Part Of: Clinical and translational radiation oncology. Volume 16(2019)
• Page Start: 60
• Page End: 66
• Publication Date: 2019-05
• Subjects: Robust optimisation -- VMAT -- Breast cancer -- Organ-motion -- IMC; Cancer -- Radiotherapy -- Periodicals; Oncology -- Periodicals; Cancer -- Radiotherapy; Oncology; Radiation Oncology; Neoplasms -- radiotherapy; Translational Medical Research; Periodicals; Electronic journals; Periodicals; 616.9940642
• DOI: 10.1016/j.ctro.2019.04.004
• Languages: English
• ISSNs: 2405-6308

Abstract

Highlights: Evaluation of organ-motion based robust optimisation for breast VMAT. Organ-motion based robust optimisation generates clinically acceptable plans. Technique validated by recalculating robust plans on real patient CBCT data. The technique generated plans that are robust to changes to the patient shape. Abstract: Aims: In patients undergoing locoregional radiotherapy (RT) for breast cancer including the internal mammary chain (IMC), VMAT has been shown to be superior to tangential-field radiotherapy in terms of target coverage and minimising dose to heart and lungs. In this study we describe and validate organ motion-based robust optimisation for generating breast and locoregional lymph node VMAT plans that are robust to inter-fractional changes. Materials and methods: In this retrospective study of five patients with left-sided breast cancer requiring locoregional breast radiotherapy including the IMC, non-robust plans were generated in the nominal scenario (planning-CT) and corresponding robust plans were created by optimising over a range of simulated CTs representing worst-case scenario shape changes to the breast. Both plans were re-calculated on CBCT images (n = 67) acquired prior to RT to generate estimates of delivered fractional dose. Plan robustness to inter-fractional changes was assessed in terms of the estimated target coverage and OAR dose. Results: Organ motion-based robust optimisation was able to generate clinically acceptable treatment plans in the nominal scenario on the planning CT with no significant differences to OAR dose between the robust and non-robust planning techniques. All plans (robust and non-robust) achieved the mandatory target coverage requirements. Estimates of delivered dose demonstrated a significant improvement in breast target coverage for the robust plans compared to non-robust plans. For the breast CTV, 92% of the robust plans achieved the optimal D98% > 95% clinical goal as compared to 71% of the non-robust plans (p < 0.01). 94% of robust plans achieved acceptable superficial breast coverage, as compared to 55% for the non-robust technique. Conclusions: Organ motion-based robust optimisation VMAT is able to produce clinically acceptable organ-at-risk sparing plans for locoregional breast radiotherapy (including the IMC) that are robust to inter-fractional changes, therefore reducing the likelihood of reactive adaptive re-planning.