CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Insights into Imaging

Guideline

Spyridon Bakas¹  Lorenzo Ugga²  Arnaldo Stanzione²  Renato Cuocolo³  Andrey Fedorov⁴  Daniel Pinto dos Santos⁵  Burak Kocak⁶  Lena Maier-Hein⁷  Nathaniel Mercaldo⁸  Bettina Baessler⁹  Fanny Orlhac^1,10  Alex Zwanenburg^1,11  Henning Müller^1,12 

[1] Center for Artificial Intelligence for Integrated Diagnostics (AI2D) & Center for Biomedical Image Computing & Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA;Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA;Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA;Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples, Italy;Department of Medicine, Surgery, and Dentistry, University of Salerno, Baronissi, Italy;Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;Department of Radiology, University Hospital of Cologne, Cologne, Germany;Institute for Diagnostic and Interventional Radiology, Goethe-University Frankfurt Am Main, Frankfurt, Germany;Department of Radiology, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, 34480, Basaksehir, Istanbul, Turkey;Division of Intelligent Medical Systems, German Cancer Research Center, Heidelberg, Germany;National Center for Tumor Diseases (NCT), Heidelberg, Germany;Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA;Department of Radiology, Massachusetts General Hospital, Boston, MA, USA;Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany;Laboratoire d’Imagerie Translationnelle en Oncologie (LITO)-U1288, Institut Curie, Inserm, Université PSL, Orsay, France;OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany;National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany;German Cancer Research Center (DKFZ), Heidelberg, Germany;University of Applied Sciences of Western Switzerland (HES-SO Valais), Valais, Switzerland;Department of Radiology and Medical Informatics, University of Geneva (UniGe), Geneva, Switzerland;

关键词: Radiomics;    Texture analysis;    Checklist;    Reporting;    Imaging;   

DOI  :  10.1186/s13244-023-01415-8

 received in 2023-02-03, accepted in 2023-03-24,  发布年份 2023

来源: Springer

【 摘 要 】

Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without applications in routine clinical practice. The workflow of radiomics is complex due to several methodological steps and nuances, which often leads to inadequate reporting and evaluation, and poor reproducibility. Available reporting guidelines and checklists for artificial intelligence and predictive modeling include relevant good practices, but they are not tailored to radiomic research. There is a clear need for a complete radiomics checklist for study planning, manuscript writing, and evaluation during the review process to facilitate the repeatability and reproducibility of studies. We here present a documentation standard for radiomic research that can guide authors and reviewers. Our motivation is to improve the quality and reliability and, in turn, the reproducibility of radiomic research. We name the checklist CLEAR (CheckList for EvaluAtion of Radiomics research), to convey the idea of being more transparent. With its 58 items, the CLEAR checklist should be considered a standardization tool providing the minimum requirements for presenting clinical radiomics research. In addition to a dynamic online version of the checklist, a public repository has also been set up to allow the radiomics community to comment on the checklist items and adapt the checklist for future versions. Prepared and revised by an international group of experts using a modified Delphi method, we hope the CLEAR checklist will serve well as a single and complete scientific documentation tool for authors and reviewers to improve the radiomics literature.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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