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Adapting Radiology Magnetic Resonance Safety Workflows to Magnetic Resonance Imaging Simulation in Radiation Oncology
Rachel A Sabol1, Charlotte S Chan1, Nicolas D Prionas1
1Department of Radiation Oncology, University of California San Francisco, San Francisco, USA.
Implementing MRI safety protocols in radiation oncology improved early detection of high-risk patients. Targeted education and visual aids enhance screening, though same-day cancellations remain consistent.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiology
Background:
- Magnetic resonance imaging (MRI) integration into radiation oncology (RO) necessitates enhanced safety protocols.
- Existing American College of Radiology guidelines offer broad MRI safety advice but lack RO-specific adaptation details.
- Limited published experience exists for implementing MRI safety workflows in RO settings, particularly with MRI simulators.
Purpose of the Study:
- To evaluate the impact of MRI safety interventions in radiation oncology at a single institution.
- To assess the effectiveness of a modified radiology workflow, department-wide education, and visual aids in improving MRI safety.
- To analyze safety endpoints including same-day cancellations, high-risk patient identification, and safety events.
Main Methods:
- Three plan-do-study-act (PDSA) cycles were conducted using a 3-T MRI simulator in RO.
- Cycle 1: Adapted a two-screen functional workflow from radiology.
- Cycle 2: Implemented comprehensive department-wide MRI safety education.
- Cycle 3: Introduced a visual aid for patient screening.
- Retrospective review of MRI schedules for safety endpoints.
Main Results:
- Same-day MRI simulation cancellations were 6.6%, 10.4%, and 7.4% across PDSA cycles (p = 0.51).
- Identification of patients with implants requiring MRI safety team review increased from zero in cycles 1-2 to three in cycle 3.
- No safety events (SEs) occurred during the study period.
Conclusions:
- A radiology-derived MRI safety workflow was successfully implemented in radiation oncology.
- Repeated, targeted education and visual tools improved the early identification of high-risk patients.
- While cancellation rates did not significantly change, these interventions suggest potential for improved early detection of unsafe implants, enhancing MRI simulation efficiency.
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