A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI).

CAPLEX DCE-MRI DSC-MRI ISMRM OSIPI perfusion standardization

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
May 2024
Historique:
revised: 25 07 2023
received: 17 05 2023
accepted: 04 08 2023
pubmed: 13 10 2023
medline: 13 10 2023
entrez: 13 10 2023
Statut: ppublish

Résumé

This manuscript describes the ISMRM OSIPI (Open Science Initiative for Perfusion Imaging) lexicon for dynamic contrast-enhanced and dynamic susceptibility-contrast MRI. The lexicon was developed by Taskforce 4.2 of OSIPI to provide standardized definitions of commonly used quantities, models, and analysis processes with the aim of reducing reporting variability. The taskforce was established in February 2020 and consists of medical physicists, engineers, clinicians, data and computer scientists, and DICOM (Digital Imaging and Communications in Medicine) standard experts. Members of the taskforce collaborated via a slack channel and quarterly virtual meetings. Members participated by defining lexicon items and reporting formats that were reviewed by at least two other members of the taskforce. Version 1.0.0 of the lexicon was subject to open review from the wider perfusion imaging community between January and March 2022, and endorsed by the Perfusion Study Group of the ISMRM in the summer of 2022. The initial scope of the lexicon was set by the taskforce and defined such that it contained a basic set of quantities, processes, and models to enable users to report an end-to-end analysis pipeline including kinetic model fitting. We also provide guidance on how to easily incorporate lexicon items and definitions into free-text descriptions (e.g., in manuscripts and other documentation) and introduce an XML-based pipeline encoding format to encode analyses using lexicon definitions in standardized and extensible machine-readable code. The lexicon is designed to be open-source and extendable, enabling ongoing expansion of its content. We hope that widespread adoption of lexicon terminology and reporting formats described herein will increase reproducibility within the field.

Identifiants

pubmed: 37831600
doi: 10.1002/mrm.29840
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1761-1773

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/X004260/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V034650/1
Pays : United Kingdom

Informations de copyright

© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Ben R Dickie (BR)

Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Geoffrey Jefferson Brain Research Center, Manchester Academic Health Science Center, The University of Manchester, Manchester, UK.

Zaki Ahmed (Z)

Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.

Jonathan Arvidsson (J)

Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden.

Laura C Bell (LC)

Clinical Imaging Group, Genentech, Inc., South San Francisco, California, USA.

David L Buckley (DL)

Biomedical Imaging, University of Leeds, Leeds, UK.

Charlotte Debus (C)

Karlsruhe Institute of Technology, Karlsruhe, Germany.

Andrey Fedorov (A)

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Ralf Floca (R)

National Center for Radiation Research in Oncology, Heidelberg Institute for Radiation Oncology, Heidelberg, Germany.

Ingomar Gutmann (I)

Faculty of Physics, Physics of Functional Materials, University of Vienna, Vienna, Austria.

Rianne A van der Heijden (RA)

Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Petra J van Houdt (PJ)

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Steven Sourbron (S)

Department of Infection, Immunity, and Cardiovascular Diseases, University of Sheffield, Sheffield, UK.

Michael J Thrippleton (MJ)

Edinburgh Imaging and Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.

Chad Quarles (C)

Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, Texas, USA.

Ina N Kompan (IN)

Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.

Classifications MeSH