Evidence map›Paper›PMID 38825600›Full record

ArticleInsights into imaging2024

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 and 35 more

Abstract read
In one paragraph

Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors.

Ralf FlocaGerman Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany. r.floca@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0003-3218-3377
Jonas BohnGerman Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany.
Christian HauxDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Benedikt WiestlerDepartment of Neuroradiology, TU Munich University Hospital, Munich, Germany.
Frank G ZöllnerComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Annika ReinkeIntelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jakob WeißDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Marco NoldenGerman Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany.
Steffen AlbertComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Thorsten PersigehlInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.
Tobias NorajitraGerman Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany.
Bettina BaeßlerDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Marc DeweyCharité - 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, Berlin, Germany.
Rickmer BrarenInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine & Health, Ismaninger Str. 22, 81675, München, Germany.
Martin BüchertDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Eva Maria FallenbergInstitute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine & Health, Ismaninger Str. 22, 81675, München, Germany.
Norbert GalldiksDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Annika GerkenFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
Michael GötzDivision of Experimental Radiology, Department for Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
Horst K HahnFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
Johannes HauboldDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Tobias HaueiseSection on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Nils Große HokampInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.
Michael IngrischDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Andra-Iza IugaInstitute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Cologne, Germany.
Marco JanoschkeDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Matthias JungDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Lena Sophie KieferDepartment of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Philipp LohmannInstitute of Neuroscience and Medicine (INM-4), Research Center Juelich (FZJ), Juelich, Germany.
Jürgen MachannSection on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Jan Hendrik MoltzFraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
Johanna NattenmüllerDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Tobias NonnenmacherDepartment of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Benedict OertherDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Ahmed E OthmanDepartment of Neuroradiology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Felix PeisenDepartment of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Fritz SchickSection on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
Lale UmutluDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Barbara D WichtmannDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Wenzhao ZhaoMannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
Heinz-Peter SchlemmerGerman Cancer Research Center (DKFZ) Heidelberg, Division of Radiology, Heidelberg, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.
Klaus Maier-Hein *German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany.
Fabian Bamberg *Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine Freiburg, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAchieving 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

methodsThe 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.

resultsWorkflow 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.

conclusionTo 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.

Indexed as

Computer-assistedConsensus development conferenceImage processingTerminologyWorkflow

Identifiers

PMID38825600
PMCPMC11144687

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