Evidence map›Paper›PMID 42897419›Full record

ArticleJournal of imaging informatics in medicine2026

Impact of Field Strength and Contrast Agents on Cardiac MRI Radiomic Features of the Myocardium and Blood Pool.

Kai Lin, Roberto Sarnari, Daniel Z Gordon, James C Carr

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Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Kai LinDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA. kai-lin@northwestern.edu.ORCID http://orcid.org/0000-0002-0540-4077
Roberto SarnariDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA.
Daniel Z GordonDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA.
James C CarrDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the effects of gadolinium-based contrast agents on cardiac MRI radiomic features across different magnetic field strengths. With Institutional Review Board (IRB) approval, eight healthy volunteers (38.5 ± 15.4 years; 4 males) underwent four consecutive cardiac MRI examinations using a Modified Look-Locker Inversion Recovery (MOLLI) sequence at 1.5T and 3T, with and without two contrast agents, gadopentetate dimeglumine (Gd-DTPA), and gadofosveset trisodium. Radiomic features were extracted from the myocardium and blood pool at the mid-ventricular level of the left ventricle using the first raw MOLLI image, corresponding to the shortest inversion time. Before contrast administration, switching from 1.5 to 3 T resulted in significant changes in 52% of myocardial and 56% of blood pool radiomic features. Contrast administration further altered radiomic feature values. At 1.5T, Gd-DTPA altered 42% of myocardial and 63% of blood pool features, whereas gadofosveset altered 73% and 85%, respectively. Similar patterns were observed at 3 T, with gadofosveset producing a greater proportion of altered features than Gd-DTPA (p < 0.05). Blood pool features were generally more sensitive to contrast administration than myocardial features. At 10 min after contrast administration, significant differences between the two contrast agents were observed in 48% of myocardial and 23% of blood pool features at 1.5T and in 72% and 60%, respectively, at 3 T. In conclusion, the administration and type of gadolinium-based contrast agents significantly alter cardiac MRI radiomic features across different magnetic field strengths. Future research should prioritize normalization strategies and evaluate feature robustness across larger patient populations to enhance the generalizability of cardiac radiomics.

Indexed as

Cardiac radiomicsContrast agentField strengthMRI

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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.