Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics
9
Zitationen
45
Autoren
2024
Jahr
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.
Ähnliche Arbeiten
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.877 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.861 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.136 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.709 Zit.
Autoren
- 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 Goetz
- Horst K. Hahn
- Johannes Haubold
- Tobias Haueise
- Nils Große Hokamp
- Michael Ingrisch
- Andra-Iza Iuga
- Marco Janoschke
- Matthias Jung
- Lena S. Kiefer
- Philipp Lohmann
- Jürgen Machann
- Jan Hendrik Moltz
- Johanna Nattenmüller
- Tobias Nonnenmacher
- Benedict Oerther
- Ahmed E. Othman
- Felix Peisen
- Fritz Schick
- Lale Umutlu
- Barbara Wichtmann
- Wenzhao Zhao
- Svenja Caspers
- Heinz‐Peter Schlemmer
- Christopher L. Schlett
- Klaus Maier‐Hein
- Fabian Bamberg
Institutionen
- German Cancer Research Center(DE)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- Heidelberger Institut für Radioonkologie(DE)
- National Center for Tumor Diseases(DE)
- DKFZ-ZMBH Alliance(DE)
- German Center for Lung Research(DE)
- Translational Research in Oncology(FR)
- München Klinik(DE)
- University Medical Centre Mannheim(DE)
- University of Freiburg(DE)
- University Medical Center Freiburg(DE)
- University Hospital Cologne(DE)
- Universitätsklinikum Würzburg(DE)
- Humboldt-Universität zu Berlin(DE)
- German Centre for Cardiovascular Research(DE)
- Freie Universität Berlin(DE)
- Charité - Universitätsmedizin Berlin(DE)
- Deutschen Konsortium für Translationale Krebsforschung(DE)
- Technical University of Munich(DE)
- Forschungszentrum Jülich(DE)
- Integrated Oncology (United States)(US)
- Fraunhofer Institute for Digital Medicine(DE)
- University Hospital Ulm(DE)
- Hochschule Bremen(DE)
- University of Bremen(DE)
- Essen University Hospital(DE)
- University Children's Hospital Tübingen(DE)
- Deutsches Diabetes-Zentrum e.V.(DE)
- German Center for Diabetes Research(DE)
- Heinrich Heine University Düsseldorf(DE)
- University of Tübingen(DE)
- LMU Klinikum(DE)
- Ludwig-Maximilians-Universität München(DE)
- RWTH Aachen University(DE)
- Johannes Gutenberg University Mainz(DE)
- University Medical Center of the Johannes Gutenberg University Mainz(DE)
- University Hospital Bonn(DE)