Insights into Imaging (Jun 2024)
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics
- Ralf Floca,
- Jonas Bohn,
- Christian Haux,
- Benedikt Wiestler,
- Frank G. Zöllner,
- Annika Reinke,
- Jakob Weiß,
- Marco Nolden,
- Steffen Albert,
- Thorsten Persigehl,
- Tobias Norajitra,
- Bettina Baeßler,
- Marc Dewey,
- Rickmer Braren,
- Martin Büchert,
- Eva Maria Fallenberg,
- Norbert Galldiks,
- Annika Gerken,
- Michael Götz,
- Horst K. Hahn,
- Johannes Haubold,
- Tobias Haueise,
- Nils Große Hokamp,
- Michael Ingrisch,
- Andra-Iza Iuga,
- Marco Janoschke,
- Matthias Jung,
- Lena Sophie Kiefer,
- Philipp Lohmann,
- Jürgen Machann,
- Jan Hendrik Moltz,
- Johanna Nattenmüller,
- Tobias Nonnenmacher,
- Benedict Oerther,
- Ahmed E. Othman,
- Felix Peisen,
- Fritz Schick,
- Lale Umutlu,
- Barbara D. Wichtmann,
- Wenzhao Zhao,
- Svenja Caspers,
- Heinz-Peter Schlemmer,
- Christopher L. Schlett,
- Klaus Maier-Hein,
- Fabian Bamberg
Affiliations
- Ralf Floca
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing
- Jonas Bohn
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing
- Christian Haux
- Department of Radiation Oncology, Heidelberg University Hospital
- Benedikt Wiestler
- Department of Neuroradiology, TU Munich University Hospital
- Frank G. Zöllner
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University
- Annika Reinke
- Intelligent Medical Systems, German Cancer Research Center (DKFZ)
- Jakob Weiß
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Marco Nolden
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing
- Steffen Albert
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University
- Thorsten Persigehl
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne
- Tobias Norajitra
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing
- Bettina Baeßler
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg
- Marc Dewey
- Charité — Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiology, Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), and DKTK (German Cancer Consortium), both partner sites Berlin
- Rickmer Braren
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine & Health
- Martin Büchert
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Eva Maria Fallenberg
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine & Health
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne
- Annika Gerken
- Fraunhofer Institute for Digital Medicine MEVIS
- Michael Götz
- Division of Experimental Radiology, Department for Diagnostic and Interventional Radiology, University Hospital Ulm
- Horst K. Hahn
- Fraunhofer Institute for Digital Medicine MEVIS
- Johannes Haubold
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen
- Tobias Haueise
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen
- Nils Große Hokamp
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne
- Michael Ingrisch
- Department of Radiology, University Hospital, LMU Munich
- Andra-Iza Iuga
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne
- Marco Janoschke
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Matthias Jung
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Lena Sophie Kiefer
- Department of Diagnostic and Interventional Radiology, University Hospital Tübingen
- Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-4), Research Center Juelich (FZJ)
- Jürgen Machann
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen
- Jan Hendrik Moltz
- Fraunhofer Institute for Digital Medicine MEVIS
- Johanna Nattenmüller
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Tobias Nonnenmacher
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg
- Benedict Oerther
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Ahmed E. Othman
- Department of Neuroradiology, University Medical Center, Johannes Gutenberg University Mainz
- Felix Peisen
- Department of Diagnostic and Interventional Radiology, University Hospital Tübingen
- Fritz Schick
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen
- Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen
- Barbara D. Wichtmann
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn
- Wenzhao Zhao
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University
- Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich
- Heinz-Peter Schlemmer
- German Cancer Research Center (DKFZ) Heidelberg, Division of Radiology
- Christopher L. Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- Klaus Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing
- Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg
- DOI
- https://doi.org/10.1186/s13244-024-01704-w
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 12
Abstract
Abstract Objectives Achieving a consensus on a definition for different aspects of radiomics workflows to support their translation into clinical usage. Furthermore, to assess the perspective of experts on important challenges for a successful clinical workflow implementation. Materials and methods The consensus was achieved by a multi-stage process. Stage 1 comprised a definition screening, a retrospective analysis with semantic mapping of terms found in 22 workflow definitions, and the compilation of an initial baseline definition. Stages 2 and 3 consisted of a Delphi process with over 45 experts hailing from sites participating in the German Research Foundation (DFG) Priority Program 2177. Stage 2 aimed to achieve a broad consensus for a definition proposal, while stage 3 identified the importance of translational challenges. Results Workflow definitions from 22 publications (published 2012–2020) were analyzed. Sixty-nine definition terms were extracted, mapped, and semantic ambiguities (e.g., homonymous and synonymous terms) were identified and resolved. The consensus definition was developed via a Delphi process. The final definition comprising seven phases and 37 aspects reached a high overall consensus (> 89% of experts “agree” or “strongly agree”). Two aspects reached no strong consensus. In addition, the Delphi process identified and characterized from the participating experts’ perspective the ten most important challenges in radiomics workflows. Conclusion To overcome semantic inconsistencies between existing definitions and offer a well-defined, broad, referenceable terminology, a consensus workflow definition for radiomics-based setups and a terms mapping to existing literature was compiled. Moreover, the most relevant challenges towards clinical application were characterized. Critical relevance statement Lack of standardization represents one major obstacle to successful clinical translation of radiomics. Here, we report a consensus workflow definition on different aspects of radiomics studies and highlight important challenges to advance the clinical adoption of radiomics. Key Points Published radiomics workflow terminologies are inconsistent, hindering standardization and translation. A consensus radiomics workflow definition proposal with high agreement was developed. Publicly available result resources for further exploitation by the scientific community. Graphical Abstract
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