Room: ePoster Forums
Purpose: To provide an open-access web-based tool for the medical physics community that (i) accurately detects errors in user-uploaded data (profiles, percent depth dose (PDD), and output factors) acquired during the LINAC commissioning process and (ii) allows users to iteratively compare measured and computed data through progress tracking. The tool seeks to standardize the practice of beam modeling and commissioning using a vendor agnostic approach.
Methods: A secure and interactive web-interface was developed to assist the medical physicist in the beam modeling and commissioning process. The web interface is built using standard html/css/js. The Quantitative Metric Analysis Tool (QMAT) is written using python and is served to the front end via an npm server hosted on a cloud provider. Future iterations will engage with database technologies to store user data over time to generate statistics on the sensitivity/specificity to detect errors.
Results: The users measured data is initially evaluated against vendor golden beam data (PDDs and profiles) and Monte Carlo (output factors). Measured data outside a standard deviation from the mean alerts the medical physicist and provides action items. QMAT compares the measured to computed data via user defined and region specific 1-D gamma analysis with percent pass rates displayed in pivot tables. Recommendations for beam model parameter adjustment are instantly provided based on percent pass rates. Previous iterations are displayed to provide progress tracking to enhance user experience.
Conclusion: Providing medical physicists in low- and middle-income countries with immediate feedback regarding measured data used for commissioning as well as employing QMAT to achieve excellent agreement between measured and computed data prevents subpar beam models that dictate the accuracy of treatment plans. This promotes consistency in the treatment planning commissioning process and allows for greater confidence when performing advanced planning techniques.