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Title: | Personalising treatment plan quality review with knowledge-based planning in the TROG 15.03 trial for stereotactic ablative body radiotherapy in primary kidney cancer. | Austin Authors: | Hardcastle, Nicholas;Cook, Olivia;Ray, Xenia;Moore, Alisha;Moore, Kevin L;Pryor, David;Rossi, Alana;Foroudi, Farshad ;Kron, Tomas;Siva, Shankar | Affiliation: | Olivia Newton-John Cancer Research Institute Department of Oncology, Sir Peter MacCallum, University of Melbourne, Parkville, Australia Department of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, USA Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia Physical Sciences, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Australia Trans Tasman Radiation Oncology Group, Newcastle, Australia |
Issue Date: | 3-Aug-2021 | Date: | 2021 | Publication information: | Radiation oncology (London, England) 2021-08-03; 16(1): 142 | Abstract: | Quality assurance (QA) of treatment plans in clinical trials improves protocol compliance and patient outcomes. Retrospective use of knowledge-based-planning (KBP) in clinical trials has demonstrated improved treatment plan quality and consistency. We report the results of prospective use of KBP for real-time QA of treatment plan quality in the TROG 15.03 FASTRACK II trial, which evaluates efficacy of stereotactic ablative body radiotherapy (SABR) for kidney cancer. A KBP model was generated based on single institution data. For each patient in the KBP phase (open to the last 31 patients in the trial), the treating centre submitted treatment plans 7 days prior to treatment. A treatment plan was created by using the KBP model, which was compared with the submitted plan for each organ-at-risk (OAR) dose constraint. A report comparing each plan for each OAR constraint was provided to the submitting centre within 24 h of receiving the plan. The centre could then modify the plan based on the KBP report, or continue with the existing plan. Real-time feedback using KBP was provided in 24/31 cases. Consistent plan quality was in general achieved between KBP and the submitted plan. KBP review resulted in replan and improvement of OAR dosimetry in two patients. All centres indicated that the feedback was a useful QA check of their treatment plan. KBP for real-time treatment plan review was feasible for 24/31 cases, and demonstrated ability to improve treatment plan quality in two cases. Challenges include integration of KBP feedback into clinical timelines, interpretation of KBP results with respect to clinical trade-offs, and determination of appropriate plan quality improvement criteria. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/27180 | DOI: | 10.1186/s13014-021-01820-7 | ORCID: | 0000-0001-7796-8472 0000-0003-2840-0658 |
Journal: | Radiation Oncology (London, England) | PubMed URL: | 34344402 | Type: | Journal Article | Subjects: | Clinical trial Kidney Knowledge based planning Quality assurance Renal cell carcinoma SABR SBRT |
Appears in Collections: | Journal articles |
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