The role of ESTRO guidelines in achieving consistency and quality in clinical radiation oncology practice

Research output: Contribution to journalEditorial (Lead article)Contributedpeer-review

Contributors

  • Birgitte Vrou Offersen - , Aarhus University (Author)
  • Marianne C. Aznar - , University of Manchester (Author)
  • Carol Bacchus - , German Cancer Research Center (DKFZ) (Author)
  • Rob P. Coppes - , University of Groningen (Author)
  • Eric Deutsch - , Institut Gustave Roussy (Author)
  • Dieter Georg - , Medical University of Vienna (Author)
  • Karin Haustermans - , KU Leuven (Author)
  • Peter Hoskin - , University of Manchester (Author)
  • Mechthild Krause - , Department of Radiotherapy and Radiooncology, University Hospital Carl Gustav Carus Dresden, TUD Dresden University of Technology (Author)
  • Eric F. Lartigau - , Oscar Lambret Comprehensive Cancer Center (Author)
  • Anne W.M. Lee - , The University of Hong Kong (Author)
  • Steffen Löck - , OncoRay - National Center for Radiation Research in Oncology, TUD Dresden University of Technology (Author)
  • David I. Thwaites - , University of Sydney, University of Leeds (Author)
  • Albert J. van der Kogel - , University of Wisconsin-Madison (Author)
  • Uulke van der Heide - , Netherlands Cancer Institute (Author)
  • Vincenzo Valentini - , Catholic University of the Sacred Heart (Author)
  • Jens Overgaard - , Aarhus University (Author)
  • Michael Baumann - , Department of Radiotherapy and Radiooncology, German Cancer Research Center (DKFZ) (Author)

Details

Original languageEnglish
Article number109446
JournalRadiotherapy and oncology
Volume179
Publication statusPublished - Feb 2023
Peer-reviewedYes

External IDs

PubMed 36566990
ORCID /0000-0002-7017-3738/work/146646032
WOS 000940795100001
ORCID /0000-0003-1776-9556/work/171065745

Keywords

Sustainable Development Goals

Keywords

  • Artificial-intelligence, Cervix cancer brachytherapy, Consensus guideline, Diagnosis tripod, Estro/eau/eortc recommendations, Individual prognosis, Multivariable prediction model, Target volume delineation, Therapeutic radiology, Working group, Humans, Medical Oncology, Societies, Medical, Radiation Oncology