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@ARTICLE{Floca:1027017,
      author       = {Floca, Ralf and Bohn, Jonas and Haux, Christian and
                      Wiestler, Benedikt and Zöllner, Frank G. and Reinke, Annika
                      and Weiß, Jakob and Nolden, Marco and Albert, Steffen and
                      Persigehl, Thorsten and Norajitra, Tobias and Baeßler,
                      Bettina and Dewey, Marc and Braren, Rickmer and Büchert,
                      Martin and Fallenberg, Eva Maria and Galldiks, Norbert and
                      Gerken, Annika and Götz, Michael and Hahn, Horst K. and
                      Haubold, Johannes and Haueise, Tobias and Große Hokamp,
                      Nils and Ingrisch, Michael and Iuga, Andra-Iza and
                      Janoschke, Marco and Jung, Matthias and Kiefer, Lena Sophie
                      and Lohmann, Philipp and Machann, Jürgen and Moltz, Jan
                      Hendrik and Nattenmüller, Johanna and Nonnenmacher, Tobias
                      and Oerther, Benedict and Othman, Ahmed E. and Peisen, Felix
                      and Schick, Fritz and Umutlu, Lale and Wichtmann, Barbara D.
                      and Zhao, Wenzhao and Caspers, Svenja and Schlemmer,
                      Heinz-Peter and Schlett, Christopher L. and Maier-Hein,
                      Klaus and Bamberg, Fabian},
      title        = {{R}adiomics workflow definition $\&$ challenges - {G}erman
                      priority program 2177 consensus statement on clinically
                      applied radiomics},
      journal      = {Insights into imaging},
      volume       = {15},
      number       = {1},
      issn         = {1869-4101},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2024-03583},
      pages        = {124},
      year         = {2024},
      note         = {Funded by the DFG 428090865, 428149221, 428210203,
                      428212052, 428212161, 428215948, 428216905, 428218324,
                      428219815, 428222922, 428223038, 428223139, 428223917,
                      428224258, 428224476 / SPP 2177 • Partially funded by the
                      Deutsche Forschungsgemeinschaft (DFG, German Research
                      Foundation) – Projektnummer 442326535 /},
      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.Keywords:
                      Computer-assisted; Consensus development conference; Image
                      processing; Terminology; Workflow.},
      cin          = {INM-3 / INM-4 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406 /
                      I:(DE-Juel1)INM-1-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
                      project 428090865 - Radiomics basierend auf MRT und
                      Aminosäure PET in der Neuroonkologie (428090865) / DFG
                      project 428149221 - Prädiktion von Therapieansprechen und
                      Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels
                      Radiomics und Deep Learning: eine beispielhafte Anwendung
                      für eine allgemein verwendbare, Deep Learning basierte
                      Prozessierungs-Pipeline für die Bild-Klassifikation.
                      (428149221) / DFG project 428210203 - Bildmorphologische
                      Biomarker der menschlichen Skelettmuskulatur (Muskelmasse,
                      morphologische und Textureigenschaften von Muskelgruppen des
                      Körperstamms und Oberschenkels) bei Sarkopenie und
                      kardiometabolischen Erkrankungen (428210203)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)428090865 /
                      G:(GEPRIS)428149221 / G:(GEPRIS)428210203},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38825600},
      UT           = {WOS:001237654800002},
      doi          = {10.1186/s13244-024-01704-w},
      url          = {https://juser.fz-juelich.de/record/1027017},
}