Evidence map›Paper›PMID 39884945›Full record

GuidelineJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2025

Society for Cardiovascular Magnetic Resonance recommendations toward environmentally sustainable cardiovascular magnetic resonance.

Kate Hanneman, Eugenio Picano, Adrienne E Campbell-Washburn, Qiang Zhang, Lorna Browne, Rebecca Kozor, Thomas Battey, Reed Omary, Paulo Saldiva, Ming Ng and 8 more

Erratum issuedAbstract readPractice Guideline
PubMed Full text at PMC Publisher
In one paragraph

Guideline in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Field strength dependence, physiologic correlates, and prognostic significance of ventricular blood pool T2 mapping on cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
  2. Review
  3. Stress T1 mapping for the detection of obstructive coronary artery disease: a prospective diagnostic accuracy study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
  4. Safety and TJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Kate HannemanDepartment of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Eugenio PicanoUniversity Clinical Center of Serbia, Cardiology Division, University of Belgrade, Serbia.
Adrienne E Campbell-WashburnCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Qiang ZhangRDM Division of Cardiovascular Medicine & NDPH Big Data Institute, University of Oxford, Oxford, UK.
Lorna BrowneDept of Radiology, Division of Pediatric Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, USA.
Rebecca KozorUniversity of Sydney and Royal North Shore Hospital, Sydney, Australia.
Thomas BatteyDepartment of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA.
Reed OmaryDepartments of Radiology & Biomedical Engineering, Vanderbilt University, Nashville TN, USA; Greenwell Project, Nashville, TN, USA.
Paulo SaldivaDepartment of Pathology, University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Ming NgDepartment of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong.
Andrea RockallDept of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.
Meng LawDepartments of Neuroscience, Electrical and Computer Systems Engineering, Monash University, Australia; Department of Radiology, Alfred Health, Melbourne, Australia.
Helen KimDepartment of Radiology, University of Washington, WA, USA.
Yoo Jin LeeDepartment of Radiology and Biomedical Engineering, UCSF, San Francisco, California, USA.
Rebecca MillsUniversity of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.
Ntobeko NtusiGroote Schuur Hospital, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Chiara Bucciarelli-DucciRoyal Brompton and Harefield Hospitals, Guys' & St Thomas NHS Trust, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College University, London, UK.
Michael MarklDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA. Electronic address: mmarkl@northwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivery of health care, including medical imaging, generates substantial global greenhouse gas emissions. The cardiovascular magnetic resonance (CMR) community has an opportunity to decrease our carbon footprint, mitigate the effects of the climate crisis, and develop resiliency to current and future impacts of climate change. The goal of this document is to review and recommend actions and strategies to allow for CMR operation with improved sustainability, including efficient CMR protocols and CMR imaging workflow strategies for reducing greenhouse gas emissions, energy, and waste, and to decrease reliance on finite resources, including helium and waterbody contamination by gadolinium-based contrast agents. The article also highlights the potential of artificial intelligence and new hardware concepts, such as low-helium and low-field CMR, in achieving these aims. Specific actions include powering down magnetic resonance imaging scanners overnight and when not in use, reducing low-value CMR, and implementing efficient, non-contrast, and abbreviated CMR protocols when feasible. Data on estimated energy and greenhouse gas savings are provided where it is available, and areas of future research are highlighted.

Indexed as

Cardiovascular DiseasesGreenhouse GasesMagnetic Resonance ImagingCarbon FootprintClimate ChangeContrast MediaHumansPredictive Value of TestsWorkflowContrast MediaGreenhouse GasesClimate changeEnergy consumptionGreenhouse gas emissionPlanetary healthSustainability

Identifiers

PMID39884945
PMCPMC12182813

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.