Evidence map›Paper›PMID 37831600›Full record

ArticleMagnetic resonance in medicine2024

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).

Ben R Dickie, Zaki Ahmed, Jonathan Arvidsson, Laura C Bell, David L Buckley, Charlotte Debus, Andrey Fedorov, Ralf Floca, Ingomar Gutmann, Rianne A van der Heijden and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. A signal model for fat-suppressed TNMR in biomedicine · 2025
    Article
  9. OSIPI: A Significant Step Towards Reproducible MR Biomarkers.Journal of magnetic resonance imaging : JMRI · 2025
    Article
  10. Article
  11. Heterogeneous blood-brain barrier dysfunction in cerebral small vessel diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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

16 authors at 14 institutions in 6 countries.

Ben R DickieDivision of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0001-5018-2111
Zaki AhmedCorewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.ORCID https://orcid.org/0000-0001-5648-0590
Jonathan ArvidssonDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Laura C BellClinical Imaging Group, Genentech, Inc., South San Francisco, California, USA.ORCID https://orcid.org/0000-0001-8164-8324
David L BuckleyBiomedical Imaging, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0001-6659-8365
Charlotte DebusKarlsruhe Institute of Technology, Karlsruhe, Germany.
Andrey FedorovBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ralf FlocaNational Center for Radiation Research in Oncology, Heidelberg Institute for Radiation Oncology, Heidelberg, Germany.
Ingomar GutmannFaculty of Physics, Physics of Functional Materials, University of Vienna, Vienna, Austria.
Rianne A van der HeijdenDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Petra J van HoudtDepartment of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Steven SourbronDepartment of Infection, Immunity, and Cardiovascular Diseases, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-3374-3973
Michael J ThrippletonEdinburgh Imaging and Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0001-7858-9917
Chad QuarlesDepartment of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, Texas, USA.
Ina N KompanDivision of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
on behalf of The Perfusion Study Group of the ISMRM
Beaumont Hospital, Troy · USBrigham and Women's Hospital · USGerman Cancer Research Center · DEKarlsruhe Institute of Technology · DEManchester Academic Health Science Centre · GBNational Center for Tumor Diseases · DESahlgrenska University Hospital · SEThe Netherlands Cancer Institute · NLThe University of Texas MD Anderson Cancer Center · USUniversity of Edinburgh · GBUniversity of Leeds · GBUniversity of Sheffield · GBUniversity of Vienna · ATUniversity of Wisconsin–Madison · US

Funding

TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Carl-Fredrik Westin · 2021 to 2026
$10.7M
Biotechnology and Biological Sciences Research Council BB/X004260/1Medical Research Council MR/V034650/1NIBIB NIH HHS P41 EB028741
6 · The paper itself

Abstract

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.

Indexed as

Contrast MediaMagnetic Resonance ImagingPerfusionPerfusion ImagingReproducibility of ResultsContrast MediaCAPLEXDCE-MRIDSC-MRIISMRM OSIPIperfusionstandardization

Identifiers

PMID37831600
PMCPMC11337559
OpenAlexW4387613598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.