ArticleTechnical innovations & patient support in radiation oncology2023
Practice-based training strategy for therapist-driven prostate MR-Linac adaptive radiotherapy.
Article in Technical innovations & patient support in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Online adaptive radiotherapy: International strategies for AI-enabled workflow efficiency and radiation therapist-led delivery for sustainable practice.Technical innovations & patient support in radiation oncology · 2026Article
- Transition from Oncologist- to Therapist-Led MRI-Guided Ultra-Hypofractionated Adaptive Prostate Radiation Therapy: Evaluation of Early Clinical Outcomes.Current oncology (Toronto, Ont.) · 2026Article
- Practice development perspective of RTT contouring in online adaptive radiotherapy for prostate cancer: A single-centre cost-consequence analysis.Technical innovations & patient support in radiation oncology · 2026Article
- Evaluation of efficacy in prostate cancer contouring for MR-guided radiotherapy using structured contouring training modules.Technical innovations & patient support in radiation oncology · 2026Article
- Evaluation of hybrid DIR performance using controlling structures and points of interest in MR-guided adaptive radiotherapy for prostate cancer patients.Journal of applied clinical medical physics · 2026Article
- Feasibility of Therapist-Driven MR-Guided Adaptive Radiotherapy for Oligometastatic Disease: Geometric Accuracy and Dosimetric Impact.Journal of medical imaging and radiation oncology · 2025Article
- The Value of Radiation Therapists in Online Adaptive Radiotherapy.Journal of medical radiation sciences · 2025Article
- Reirradiation practices of Radiation Therapists (RePoRT) study.Technical innovations & patient support in radiation oncology · 2025Article
- Pan-Canadian assessment of image guided adaptive radiation therapy and the role of the radiation therapist.Technical innovations & patient support in radiation oncology · 2025Article
- Training for tomorrow: Establishing a worldwide curriculum in online adaptive radiation therapy.Technical innovations & patient support in radiation oncology · 2025Article
- Geometric and dosimetric evaluation of CTV contour adaptations by radiation therapists for adaptive prostate radiotherapy on a 0.35 T MR-Linac.Technical innovations & patient support in radiation oncology · 2025Article
- Perspectives on program duration and research: A survey of graduates of a 3-year medical physics residency program.Journal of applied clinical medical physics · 2025Article
- Prospective evaluation of patient-reported anxiety and experiences with adaptive radiation therapy on an MR-linac.Technical innovations & patient support in radiation oncology · 2024Article
- Evaluation of clinical parallel workflow in online adaptive MR-guided Radiotherapy: A detailed assessment of treatment session times.Technical innovations & patient support in radiation oncology · 2024Article
- Time Matters: A Review of Current Radiotherapy Practices and Efficiency Strategies.Technology in cancer research & treatmentReview
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To develop a practice-based training strategy to transition from radiation oncologist to therapist-driven prostate MR-Linac adaptive radiotherapy. Methods and materials: In phase 1, 7 therapists independently contoured the prostate and organs-at-risk on T2-weighted MR images from 11 previously treated MR-Linac prostate patients. Contours were evaluated quantitatively (i.e. Dice similarity coefficient [DSC] calculated against oncologist generated online contours) and qualitatively (i.e. oncologist using a 5-point Likert scale; a score ≥ 4 was deemed a pass, a 90% pass rate was required to proceed to the next phase). Phase 2 consisted of supervised online workflow with therapists required no intervention from the oncologist on 10 total cases to advance. Phase 3 involved unsupervised therapist-driven workflow, with offline support from oncologists prior to the next fraction. Results: In phase 1, the mean DSC was 0.92 (range 0.85-0.97), and mean Likert score was 3.7 for the prostate. Five therapists did not attain a pass rate (3-5 cases with prostate contour score < 4), underwent follow-up one-on-one review, and performed contours on a further training set (n = 5). Each participant completed a median of 12 (range 10-13) cases in phase 2; of 82 cases, minor direction were required from the oncologist on 5 regarding target contouring. Radiation oncologists reviewed 179 treatment fractions in phase 3, and deemed 5 cases acceptable but with suggestions for next fraction; all other cases were accepted without suggestions. Conclusion: A training stepwise program was developed and successfully implemented to enable a therapist-driven workflow for online prostate MR-Linac adaptive radiotherapy.
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