Evidence map›Paper›PMID 40220901›Full record

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

Accelerated real-time cine and flow under in-magnet staged exercise.

Preethi S Chandrasekaran, Chong Chen, Yingmin Liu, Syed Murtaza Arshad, Christopher Crabtree, Matthew Tong, Yuchi Han, Rizwan Ahmad

Abstract read
In one paragraph

Article 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Preethi S ChandrasekaranBiomedical Engineering, Ohio State University, Columbus, Ohio, USA. Electronic address: chandrasekaran.71@osu.edu.
Chong ChenBiomedical Engineering, Ohio State University, Columbus, Ohio, USA. Electronic address: chong.chen@osumc.edu.
Yingmin LiuDavis Heart and Lung Research Institute, Ohio State University Wexner Medical Center, Columbus, Ohio, USA. Electronic address: yingmin.liu@osumc.edu.
Syed Murtaza ArshadElectrical and Computer Engineering, Ohio State University, Columbus, Ohio, USA. Electronic address: arshad.32@osu.edu.
Christopher CrabtreeKinesiology, Ohio State University, Columbus, Ohio, USA. Electronic address: crabtree.223@osu.edu.
Matthew TongCardiovascular Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA. Electronic address: matthew.tong@osumc.edu.
Yuchi HanCardiovascular Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, USA. Electronic address: yuchi.han@osumc.edu.
Rizwan AhmadBiomedical Engineering, Ohio State University, Columbus, Ohio, USA; Electrical and Computer Engineering, Ohio State University, Columbus, Ohio, USA. Electronic address: ahmad.46@osu.edu.

Funding

A comprehensive valvular heart disease assessment with stress cardiac MRIR01HL151697 · NHLBI · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2021 to 2025
$3.3M
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance ImagingR01HL135489 · NHLBI · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2017 to 2021
$3.0M
Imaging-based Indentification of Premature Ventricular Contraction-mediatedR01HL148103 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HAN, YUCHI · 2020 to 2025
$2.8M
A comprehensive deep learning framework for MRI reconstructionR01EB029957 · NIBIB · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN, SCHNITER, PHILIP · 2021 to 2024
$2.3M
NHLBI NIH HHS R01 HL135489NHLBI NIH HHS R01 HL148103NHLBI NIH HHS R01 HL151697NIBIB NIH HHS R01 EB029957
6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance (CMR) imaging is a well-established imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent advances in CMR technology, quantitative ExCMR during exercise remains technically challenging due to motion artifacts and limited spatial and temporal resolution.

methodsThis study investigated the feasibility of biventricular functional and hemodynamic assessment using real-time (RT) ExCMR during a staged exercise protocol in 24 healthy volunteers. We employed high acceleration rates and applied a coil-reweighting technique to minimize motion blurring and artifacts. We further applied a beat-selection technique that identified beats from the end-expiratory phase to minimize the impact of respiration-induced through-plane motion on cardiac function quantification. Additionally, results from six patients were presented to demonstrate clinical feasibility.

resultsOur findings indicated a consistent decrease in end-systolic volume and stable end-diastolic volume across exercise intensities, leading to increased stroke volume and ejection fraction. The selection of end-expiratory beats modestly enhanced the repeatability of cardiac function parameters, as shown by scan-rescan tests in nine volunteers. High scores from a blinded image quality assessment indicated that coil reweighting effectively minimized motion artifacts.

conclusionThis study demonstrated the feasibility of RT ExCMR with in-magnet exercise in healthy subjects and patients. Our results indicate that high acceleration rates, coil reweighting, and selection of respiratory phase-specific heartbeats enhance image quality and repeatability of quantitative RT ExCMR.

Indexed as

Exercise TestHemodynamicsMagnetic Resonance Imaging, CineVentricular Function, LeftAdultArtifactsFeasibility StudiesFemaleHealthy VolunteersHeart RateHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsStroke VolumeAccelerated imagingCardiac MRIExercise stress

Identifiers

PMID40220901
PMCPMC12149592

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.