03/27/2026
Led by Dr. Asal Rahimi, Professor and Chief of Breast Radiation Oncology Service, and Dr. David Parsons, Assistant Professor, our team delivered the first simulation-omitted (So-Fast) treatment on the Ethos today.
This study explores a faster way to deliver radiation therapy for breast cancer, where planning and treatment are completed in real time within about an hour by skipping traditional pre-treatment steps and using advanced imaging and artificial intelligence instead. Researchers tested and then implemented a “direct-to-treatment” approach, allowing patients to begin therapy much sooner, potentially within hours rather than weeks, by reducing time from consult to treatment and combining radiation planning and treatment in the same session. By combining real-time imaging, automated tumor outlining by artificial intelligence, and on-the-spot treatment adjustments, the team found this method maintained the same level of accuracy and safety as standard care, even when accounting for small positioning uncertainties. Overall, this method is much more convenient for patients, saves them time by less visits, and expands access to care.
Pictured team (l-r): Cherilyn Yip, radiation therapist; Dr. Liyuan Chen, Assistant Professor (seated); Trung Truong, radiation therapist; Dr. Rahimi; Dr. Parsons; and Drs. Shanshan Tang and Jingying Lin, medical physics residents
The abstract/manuscript for this work is currently under preparation and includes Drs. Shanshan Tang, Justin Visak, Tingliang Zhuang, Chang-Shiun Lin, Chien-Yi Liao, Mona Arbab, Sean Domal, Narine Wandrey, Cynthia Tye, Prasanna Alluri, David Sher, Shahed Badiyan, Asal Rahimi, Mu-Han Lin, and David Parsons.
