TY - JOUR
T1 - The European Organisation for Research and Treatment of Cancer, State of Science in radiation oncology and priorities for clinical trials meeting report
AU - European Organisation for Research and Treatment of Cancer (EORTC)
AU - Thomas, Gillian
AU - Eisenhauer, Elizabeth
AU - Bristow, Robert G.
AU - Grau, Cai
AU - Hurkmans, Coen
AU - Ost, Piet
AU - Guckenberger, Matthias
AU - Deutsch, Eric
AU - Lacombe, Denis
AU - Weber, Damien C.
N1 - Publisher Copyright:
© 2020 The Authors
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Background: New technologies and techniques in radiation oncology and imaging offer opportunities to enhance the benefit of loco-regional treatments, expand treatment to new patient populations such as those with oligometastatic disease and decrease normal tissue toxicity. Furthermore, novel agents have become available which may be combined with radiation therapy, and identification of radiation-related biomarkers can be studied to refine treatment prescriptions. Finally, the use of artificial intelligence (AI) capabilities may also improve treatment quality assurance or the ease with which radiation dosing is prescribed. All of these potential advances present both opportunities and challenges for academic clinical researchers. Methods: Recently, the European Organisation for Research and Treatment of Cancer addressed these topics in a meeting of multiple stakeholders from Europe and North America. The following five themes radiobiology-based biomarkers, new technologies – particularly proton beam therapy, combination systemic and radiation therapy, management of oligometastatic disease and AI opportunities in radiation oncology were discussed in a State of Science format to define key controversies, unanswered questions and propose clinical trial priorities for development. Conclusions: Priorities for clinical trials implementing new science and technologies have been defined. Solutions to integrate the multidimensional complexity of data have been explored. New types of platforms and partnerships can support innovative approaches for clinical research in radiation oncology.
AB - Background: New technologies and techniques in radiation oncology and imaging offer opportunities to enhance the benefit of loco-regional treatments, expand treatment to new patient populations such as those with oligometastatic disease and decrease normal tissue toxicity. Furthermore, novel agents have become available which may be combined with radiation therapy, and identification of radiation-related biomarkers can be studied to refine treatment prescriptions. Finally, the use of artificial intelligence (AI) capabilities may also improve treatment quality assurance or the ease with which radiation dosing is prescribed. All of these potential advances present both opportunities and challenges for academic clinical researchers. Methods: Recently, the European Organisation for Research and Treatment of Cancer addressed these topics in a meeting of multiple stakeholders from Europe and North America. The following five themes radiobiology-based biomarkers, new technologies – particularly proton beam therapy, combination systemic and radiation therapy, management of oligometastatic disease and AI opportunities in radiation oncology were discussed in a State of Science format to define key controversies, unanswered questions and propose clinical trial priorities for development. Conclusions: Priorities for clinical trials implementing new science and technologies have been defined. Solutions to integrate the multidimensional complexity of data have been explored. New types of platforms and partnerships can support innovative approaches for clinical research in radiation oncology.
KW - Artificial intelligence
KW - Clinical research
KW - Oligometastases
KW - Particle therapy
KW - Quality assurance
KW - Radiation oncology
KW - Radiobiology
KW - Treatment optimisation
UR - http://www.scopus.com/inward/record.url?scp=85083336523&partnerID=8YFLogxK
U2 - 10.1016/j.ejca.2020.02.050
DO - 10.1016/j.ejca.2020.02.050
M3 - Article
C2 - 32305726
AN - SCOPUS:85083336523
SN - 0959-8049
VL - 131
SP - 76
EP - 88
JO - European Journal of Cancer
JF - European Journal of Cancer
ER -