2631 - End-to-End Credentialing for Simulation-Omitted MR-guided Adaptive Radiotherapy: A Streamlined and Practical Approach
Presenter(s)
Z. Tong1, T. D. Chiu2, V. Iakovenko3, S. J. Domal3, D. D. M. Parsons3, A. R. Godley4, M. H. Lin3, and D. Wang5; 1Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 2University of Texas, Southwestern Medical Center, Dallas, TX, 3Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 4Medical Artificial Intelligence and Automation (MAIA) Lab, Dallas, TX, 5UT Southwestern Medical Center, Dallas, TX
Purpose/Objective(s): Simulation-omitted MR-guided radiotherapy (MRgRT) can shorten time-to-treatment, reduce reliance on simulation imaging resources, and streamline patient scheduling. It leverages diagnostic MR imaging for reference planning and MR-guided adaptive radiotherapy (ART) platform for online re-optimization to account for the patient’s actual setup and anatomy variation at the time of treatment. However, no standardized end-to-end credentialing framework currently established to verify the workflow safety, systematic consistency, accuracy between dose calculation and delivered dose. To address this gap, we developed a streamlined and practical end-to-end credentialing test using a commercially available phantom with interchangeable inserts, enabling institutions to independently validate simulation-omitted MRgRT workflows and support safe clinical implementation.
Materials/Methods: The credentialing approach was implemented on a 1.5T MR-Linac system using a MR-compatible phantom, which supports point dose measurement at multiple anatomical locations (target, spinal cord, and liver) and planar film dosimetry. A calibrated PinPoint MR ionization chamber was used for point-dose measurements, and Gafchromic film was used for planar dose verification. Pseudo-diagnostic MR image sets and corresponding digital structures were created and intentionally deformed to mimic anatomical variability expected in simulation-omitted workflows. The electron density of structures was captured from CT images. A reference treatment plan was created using an institutional lung prescription 60Gy with an IMRT technique and Monte Carlo dose calculation. Standard simulation-omitted MRgRT online adaptive workflows were followed. Adaptive plans generated from daily MRIs were delivered over multiple fractions. Three point-dose measurements at PTV, spinal cord and liver were compared against TPS-reported values, and sagittal and coronal planar film results were evaluated using global gamma analysis.
Results: The point-dose differences were < 1.8% of PTV and < 2cGy in liver and spinal cord for the adaptive plans, despite the chamber positioning uncertainty and potential electron returned effects surrounding the chamber. All planar film measurements exceeded a 93% gamma pass rate using 3%/3 mm.
Conclusion: This work establishes a streamlined, practical, cost-effective end-to-end credentialing methodology for simulation-omitted adaptive MRgRT workflows. The proposed approach verifies the accuracy of online re-optimization and dose delivery, supporting safe clinical implementation and cross-institutional standardization.