Risk analysis of the Unity 1.5T MR-Linac adapt-to-shape workflow Journal Article
| Authors: | Liang, J.; Aliotta, E.; Tyagi, N.; Godoy Scripes, P.; Côté, N.; Subashi, E.; Huang, Q.; Sun, L.; Chan, C. Y.; Ng, A.; Wunner, T.; Brennan, V.; Zakeri, K.; Mechalakos, J. |
| Article Title: | Risk analysis of the Unity 1.5T MR-Linac adapt-to-shape workflow |
| Abstract: | Background and Purpose: The adapt-to-shape (ATS) workflow on the Unity MR-Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with Monaco (Elekta AB, Stockholm, Sweden). Given the interplay of various systems and the inherent complexity of the ATS workflow, a risk analysis would be instructive. Method: Failure modes and effects analysis (FMEA) following Task Group 10013 was completed to evaluate the ATS workflow. A multi-disciplinary team was formed for this analysis. The team created a process map detailing the steps involved in ATS treating both the standard Monaco workflow and a workflow with the use of MIM software in parallel. From this, failure modes were identified, scored using three categories (likelihood of occurrence, severity, and detectability which multiplied create a risk priority number), and then mitigations for the top 20th percentile of failure modes were found. Results: Risk analysis found 264 failure modes in the ATS workflow. Of those, 82 were high-ranking failure modes that ranked in the top 20th percentile for risk priority number and severity scores. Although high-ranking failure modes were identified in each step in the process, 62 of them were found in the contouring and planning steps, highlighting key differences from adapt-to-position (ATP), where the importance of these steps are minimized. Mitigations are suggested for all high-ranking failure modes. Conclusion: The flexibility of the ATS workflow, which enables reoptimization of the treatment plan, also introduces potential critical points where errors can occur. There are more opportunities for error in ATS that can create unintentionally negative dosimetric impact. FMEA can help mitigate these risks by identifying and addressing potential failure points in the ATS process. © 2025 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. |
| Keywords: | radiation oncology; risk analysis; adaptive treatment; mr-linac; adapt-to-shape; process map |
| Journal Title: | Journal of Applied Clinical Medical Physics |
| Volume: | 26 |
| Issue: | 7 |
| ISSN: | 1526-9914 |
| Publisher: | American College of Medical Physics |
| Publication status: | Published |
| Date Published: | 2025-07-01 |
| Online Publication Date: | 2025-04-16 |
| Start Page: | e70095 |
| Language: | English |
| DOI: | 10.1002/acm2.70095 |
| PROVIDER: | scopus |
| PMCID: | PMC12256694 |
| PUBMED: | 40241332 |
| DOI/URL: | |
| Notes: | Article -- MSK corresponding author is Jiayi Liang -- Source: Scopus |
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