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Published on: January 8, 2018
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and
Philip Whybra1, Alex Zwanenburg1, Vincent Andrearczyk1
1From the School of Engineering, Cardiff University, Cardiff, United Kingdom (P.W., E.S.); 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 (A.Z., S.L.); National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and Helmholtz Association/Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Fetscherstrasse 74, PF 41 Dresden 01307, Germany (A.Z.); Institute of Informatics, University of Applied Sciences and Arts Western Switzerland (HES-SO), Sierre, Switzerland (V.A., R.S., H.M., A.D.); Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY (A.P.A., A.I.); Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada (A.A., M.A.L.L., M.V.); Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (B.B., S.B., S.P.); Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (B.B., S.B., S.P.); Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (B.B., S.B., S.P.); Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Ind (B.B., S.B., S.P.); Department of Medical Physics, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy (A.B., F.M.); Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, the Netherlands (R.B.); Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (L.B., N.D., J.L.); Institut Curie, Université PSL, Inserm U1288, Laboratoire d'Imagerie Translationnelle en Oncologie, Orsay, France (I.B., C.N., F.O.); Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom (G.J.R.C., V.G., C.G.R.); Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland (F.D., H.S.G., M.G., S.T.); Department of Radiology, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom (V.G.); LaTIM, INSERM, UMR 1101, Université de Bretagne-Occidentale, Brest, France (M. Hatt, F.T.); Technological Virtual Collaboration (TECVICO Corp), Vancouver, Canada (M. Hosseinzadeh, M.R.S.); Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran (M. Hosseinzadeh); Department of Radiation Oncology, University of California San Francisco, San Francisco, Calif (O.M., T.U.); Departments of Radiology and Physics, University of British Columbia, Vancouver, Canada (A.R.); Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran (S.M.R.); Repository Unit, Cancer Research UK National Cancer Imaging Translational Accelerator, United Kingdom (C.G.R.); Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada (M.R.S., F.Y.); Department of Nuclear Medicine, Universitätsklinikum Augsburg, Augsburg, Germany (A.S.); Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland (I.S., H.Z.); Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Switzerland (I.S.); Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (V.V.); Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore-Milano, Milan, Italy (V.V.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (J.J.M.v.G.); Department of Radiology, UMC Utrecht, Utrecht, the Netherlands (J.J.M.v.G.); Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Sherbrooke, Canada (M.V.); and Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital (CHUV), Lausanne, Switzerland (A.D.).
Standardizing radiomics filters improves image analysis reproducibility. Eight filter types were standardized with reference values, enhancing clinical translation of radiomics decision support tools.
Area of Science:
- Medical Imaging
- Radiomics
- Computational Pathology
Background:
- Radiomics enhances medical image analysis for clinical insights.
- Lack of standardized filters hinders reproducibility and clinical translation of radiomics tools.
Purpose of the Study:
- To establish a standardized set of convolutional filters for radiomics.
- To create reference filtered images and feature values for commonly used filters.
Main Methods:
- A three-phase study involving 15 research teams from September 2020 to December 2022.
- Development and validation of standardized filters using digital phantoms, chest CT, and multimodal imaging datasets.
- Assessment of feature reproducibility using intraclass correlation coefficients.
Main Results:
- 33 reference filtered images and 36 filter configurations were established in phase 1.
- Reference values for 323 of 396 features were derived in phase 2.
- 458 out of 486 features demonstrated reproducibility (ICC > 0.75) across nine teams in the validation phase.
Conclusions:
- Eight filter types were successfully standardized with reference data for radiomics software.
- Standardization enhances the reliability and clinical applicability of radiomics decision support tools.
- A web-based tool is available for compliance checking of radiomics software.
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