Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions

Ying Xiao; Stanley Benedict; Yunfeng Cui; Carri Glide-Hurst; Stephen Graves; Xun Jia; Stephen F. Kry; Heng Li; Liyong Lin; Martha Matuszak; Mark Newpower; Harald Paganetti; X. Sharon Qi; Emilie Roncali; Yi Rong; George Sgouros; Charles B. Simone; John J. Sunderland; Paige A. Taylor; Leila Tchelebi; Michael Weldon; Jennifer W. Zou; Evan J. Wuthrick; Mitchell Machtay; Quynh Thu Le; Jeffrey C. Buchsbaum

doi:10.1016/j.ijrobp.2025.01.006

Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions

Ying Xiao
, Stanley Benedict
, Yunfeng Cui
, Carri Glide-Hurst
, Stephen Graves
, Xun Jia
, Stephen F. Kry
, Heng Li
, Liyong Lin
, Martha Matuszak
, Mark Newpower
, Harald Paganetti
, X. Sharon Qi
, Emilie Roncali
, Yi Rong
, George Sgouros
, Charles B. Simone
, John J. Sunderland
, Paige A. Taylor
, Leila Tchelebi

Michael Weldon, Jennifer W. Zou, Evan J. Wuthrick, Mitchell Machtay, Quynh Thu Le, Jeffrey C. Buchsbaum

Research output: Contribution to journal › Review article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	443-457
Number of pages	15
Journal	International Journal of Radiation Oncology Biology Physics
Volume	122
Issue number	2
DOIs	https://doi.org/10.1016/j.ijrobp.2025.01.006
State	Published - Jun 1 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Radiation
Oncology
Radiology Nuclear Medicine and imaging
Cancer Research

Access to Document

10.1016/j.ijrobp.2025.01.006

Cite this

Xiao, Y., Benedict, S., Cui, Y., Glide-Hurst, C., Graves, S., Jia, X., Kry, S. F., Li, H., Lin, L., Matuszak, M., Newpower, M., Paganetti, H., Qi, X. S., Roncali, E., Rong, Y., Sgouros, G., Simone, C. B., Sunderland, J. J., Taylor, P. A., ... Buchsbaum, J. C. (2025). Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions. International Journal of Radiation Oncology Biology Physics, 122(2), 443-457. https://doi.org/10.1016/j.ijrobp.2025.01.006

@article{431bcf111c9e47b9a4bb7e5d5b16e5f0,

title = "Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions",

abstract = "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.",

author = "Ying Xiao and Stanley Benedict and Yunfeng Cui and Carri Glide-Hurst and Stephen Graves and Xun Jia and Kry, \{Stephen F.\} and Heng Li and Liyong Lin and Martha Matuszak and Mark Newpower and Harald Paganetti and Qi, \{X. Sharon\} and Emilie Roncali and Yi Rong and George Sgouros and Simone, \{Charles B.\} and Sunderland, \{John J.\} and Taylor, \{Paige A.\} and Leila Tchelebi and Michael Weldon and Zou, \{Jennifer W.\} and Wuthrick, \{Evan J.\} and Mitchell Machtay and Le, \{Quynh Thu\} and Buchsbaum, \{Jeffrey C.\}",

note = "Publisher Copyright: {\textcopyright} 2025",

year = "2025",

month = jun,

day = "1",

doi = "10.1016/j.ijrobp.2025.01.006",

language = "English (US)",

volume = "122",

pages = "443--457",

journal = "International Journal of Radiation Oncology Biology Physics",

issn = "0360-3016",

publisher = "Elsevier Inc.",

number = "2",

}

Xiao, Y, Benedict, S, Cui, Y, Glide-Hurst, C, Graves, S, Jia, X, Kry, SF, Li, H, Lin, L, Matuszak, M, Newpower, M, Paganetti, H, Qi, XS, Roncali, E, Rong, Y, Sgouros, G, Simone, CB, Sunderland, JJ, Taylor, PA, Tchelebi, L, Weldon, M, Zou, JW, Wuthrick, EJ, Machtay, M, Le, QT & Buchsbaum, JC 2025, 'Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions', International Journal of Radiation Oncology Biology Physics, vol. 122, no. 2, pp. 443-457. https://doi.org/10.1016/j.ijrobp.2025.01.006

Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions. / Xiao, Ying; Benedict, Stanley; Cui, Yunfeng et al.
In: International Journal of Radiation Oncology Biology Physics, Vol. 122, No. 2, 01.06.2025, p. 443-457.

Research output: Contribution to journal › Review article › peer-review

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.

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 -

Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions

Abstract

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All Science Journal Classification (ASJC) codes

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