Evidence map›Paper›PMID 41995667›Full record

ArticleJACC. Case reports2026

Mid-Field Cardiovascular MRI in Class III Obesity.

Katarzyna E Gil, Katherine Binzel, Akash Goyal, Daniel Giese, Ning Jin, Yingmin Liu, Chong Chen, Yu Ding, Xavier Sieber, Ruud B van Heeswijk and 6 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Katarzyna E GilDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA. Electronic address: katarzyna.gil@osumc.edu.
Katherine BinzelDavis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA.
Akash GoyalDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA.
Daniel GieseResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Ning JinCardiovascular MR R&D, Siemens Medical Solutions USA, Malvern, Pennsylvania, USA.
Yingmin LiuDavis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA.
Chong ChenDepartment of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA.
Yu DingDavis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA.
Xavier SieberDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Ruud B van HeeswijkDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Matthias StuberDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Rizwan AhmadDepartment of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA.
Yuchi HanDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA.
Matthew S TongDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA.
Orlando P SimonettiDivision of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA; Department of Radiology, The Ohio State University, Columbus, Ohio, USA.
Juliet VargheseDepartment of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA; Department of Radiology, The Ohio State University, Columbus, Ohio, USA.

Funding

Development and validation of cardiovascular MRI techniques on a low-field, ultra-wide bore system to assess patients with severe obesityR01HL161618 · NHLBI · OHIO STATE UNIVERSITY · PI Orlando Paul Simonetti · 2022 to 2026
$2.9M
NHLBI NIH HHS R01 HL161618
6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance (CMR) is a cornerstone for assessing cardiac function and tissue characterization but is often inaccessible to patients with class III obesity because of the bore size and table weight limits of conventional 1.5-T/3-T systems. CASE SERIES: Five patients with body mass index ≥40 kg/m DISCUSSION: Diagnostic image quality was achieved in all cases, enabling comprehensive evaluation of ventricular function, myocardial tissue, valvular morphology, and aortic anatomy. Findings guided diagnosis, pharmacotherapy optimization, and procedural planning. TAKE-HOME MESSAGES: Wide-bore 0.55-T CMR enables diagnostic imaging in patients with class III obesity, who are often excluded from conventional MR systems. Mid-field CMR with tailored sequences allows comprehensive cardiac evaluation in this underserved population.

Indexed as

cardiovascular magnetic resonance imagingmid-field cardiovascular MRIobesitywide bore

Identifiers

PMID41995667
PMCPMC13221810

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.