From Measurement to Prediction: Evolving Strategies for IMRT and VMAT QA

An Insight Series Webinar

Join us for an in-depth webinar focused on the latest advancements in IMRT and VMAT QA, where you’ll learn from three leading experts who are transforming the landscape of patient-specific QA.

Justus Adamson, from Duke University, leads the discussion providing an overview of current and future QA methods, sharing the results of an FMEA study that highlights the sensitivity of log files when paired with proper MLC quality assurance.

Washington University's Nels Knutson follows to discuss his institution’s review of over 700 plans, and present strategies for reducing the QA burden, such as using Monte Carlo calculations to filter out plans that are likely to pass.

We also play a presentation from Michael Barnes, with Calvary Mater Newcastle in Australia, who shares insights from his extensive work on QA using portal imaging, explaining how this technology can be integrated into clinical practice to further enhance accuracy and safety in radiotherapy.

This session covers the limitations of traditional QA methods and explores alternative approaches that streamline QA workflows. Real-world case studies and research illustrate how innovative techniques like AI prediction models and Monte Carlo simulations are improving error detection, optimizing resources, and enhancing the precision of radiotherapy treatments.

Don't miss this opportunity to stay ahead of the curve in radiotherapy QA—watch the recording to learn actionable strategies from true experts in the field.