TY - JOUR
T1 - Embracing the Future of Clinical Trials in Radiation Therapy
T2 - An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions
AU - Xiao, Ying
AU - Benedict, Stanley
AU - Cui, Yunfeng
AU - Glide-Hurst, Carri
AU - Graves, Stephen
AU - Jia, Xun
AU - Kry, Stephen F.
AU - Li, Heng
AU - Lin, Liyong
AU - Matuszak, Martha
AU - Newpower, Mark
AU - Paganetti, Harald
AU - Qi, X. Sharon
AU - Roncali, Emilie
AU - Rong, Yi
AU - Sgouros, George
AU - Simone, Charles B.
AU - Sunderland, John J.
AU - Taylor, Paige A.
AU - Tchelebi, Leila
AU - Weldon, Michael
AU - Zou, Jennifer W.
AU - Wuthrick, Evan J.
AU - Machtay, Mitchell
AU - Le, Quynh Thu
AU - Buchsbaum, Jeffrey C.
N1 - Publisher Copyright:
© 2025
PY - 2025/6/1
Y1 - 2025/6/1
N2 - This white paper examines the potential of pioneering technologies and artificial intelligence-driven solutions in advancing clinical trials involving radiation therapy. As the field of radiation therapy evolves, the integration of cutting-edge approaches such as radiopharmaceutical dosimetry, FLASH radiation therapy, image guided radiation therapy, and artificial intelligence promises to improve treatment planning, patient care, and outcomes. Additionally, recent advancements in quantum science, linear energy transfer/relative biological effect, and the combination of radiation therapy and immunotherapy create new avenues for innovation in clinical trials. The paper aims to provide an overview of these emerging technologies and discuss their challenges and opportunities in shaping the future of radiation oncology clinical trials. By synthesizing knowledge from experts across various disciplines, this white paper aims to present a foundation for the successful integration of these innovations into radiation therapy research and practice, ultimately enhancing patient outcomes and revolutionizing cancer care.
AB - This white paper examines the potential of pioneering technologies and artificial intelligence-driven solutions in advancing clinical trials involving radiation therapy. As the field of radiation therapy evolves, the integration of cutting-edge approaches such as radiopharmaceutical dosimetry, FLASH radiation therapy, image guided radiation therapy, and artificial intelligence promises to improve treatment planning, patient care, and outcomes. Additionally, recent advancements in quantum science, linear energy transfer/relative biological effect, and the combination of radiation therapy and immunotherapy create new avenues for innovation in clinical trials. The paper aims to provide an overview of these emerging technologies and discuss their challenges and opportunities in shaping the future of radiation oncology clinical trials. By synthesizing knowledge from experts across various disciplines, this white paper aims to present a foundation for the successful integration of these innovations into radiation therapy research and practice, ultimately enhancing patient outcomes and revolutionizing cancer care.
UR - https://www.scopus.com/pages/publications/85217930619
UR - https://www.scopus.com/pages/publications/85217930619#tab=citedBy
U2 - 10.1016/j.ijrobp.2025.01.006
DO - 10.1016/j.ijrobp.2025.01.006
M3 - Review article
C2 - 39848295
AN - SCOPUS:85217930619
SN - 0360-3016
VL - 122
SP - 443
EP - 457
JO - International Journal of Radiation Oncology Biology Physics
JF - International Journal of Radiation Oncology Biology Physics
IS - 2
ER -
