Evidence map›Paper›PMID 40442341›Full record

ArticlePediatric radiology2025

Free-running isotropic three-dimensional cine magnetic resonance imaging with deep learning image reconstruction.

Sukran Erdem, Orhan Erdem, Samantha Stebbings, Gerald Greil, Tarique Hussain, Qing Zou

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Article in Pediatric radiology, 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. Review
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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

6 authors.

Sukran ErdemDivision of Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, 1935 Medical District Drive, Dallas, TX, 75235, USA. sukran.erdem@utsouthwestern.edu.
Orhan ErdemUniversity of North Texas, Denton, TX, USA.
Samantha StebbingsWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Gerald GreilDivision of Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, 1935 Medical District Drive, Dallas, TX, 75235, USA.
Tarique HussainDivision of Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, 1935 Medical District Drive, Dallas, TX, 75235, USA.
Qing ZouDivision of Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, 1935 Medical District Drive, Dallas, TX, 75235, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance (CMR) cine imaging is the gold standard for assessing ventricular volumes and function. It typically requires two-dimensional (2D) bSSFP sequences and multiple breath-holds, which can be challenging for patients with limited breath-holding capacity. Three-dimensional (3D) cardiovascular magnetic resonance angiography (MRA) usually suffers from lengthy acquisition. Free-running 3D cine imaging with deep learning (DL) reconstruction offers a potential solution by acquiring both cine and angiography simultaneously.

objectiveTo evaluate the efficiency and accuracy of a ferumoxytol-enhanced 3D cine imaging MR sequence combined with DL reconstruction and Heart-NAV technology in patients with congenital heart disease. MATERIALS AND

methodsThis Institutional Review Board approved this prospective study that compared (i) functional and volumetric measurements between 3 and 2D cine images; (ii) contrast-to-noise ratio (CNR) between deep-learning (DL) and compressed sensing (CS)-reconstructed 3D cine images; and (iii) cross-sectional area (CSA) measurements between DL-reconstructed 3D cine images and the clinical 3D MRA images acquired using the bSSFP sequence. Paired t-tests were used to compare group measurements, and Bland-Altman analysis assessed agreement in CSA and volumetric data.

resultsSixteen patients (seven males; median age 6 years) were recruited. 3D cine imaging showed slightly larger right ventricular (RV) volumes and lower RV ejection fraction (EF) compared to 2D cine, with a significant difference only in RV end-systolic volume (P = 0.02). Left ventricular (LV) volumes and EF were slightly higher, and LV mass was lower, without significant differences (P ≥ 0.05). DL-reconstructed 3D cine images showed significantly higher CNR in all pulmonary veins than CS-reconstructed 3D cine images (all P < 0.05).

conclusionHighly accelerated free-running 3D cine imaging with DL reconstruction shortens acquisition times and provides comparable volumetric measurements to 2D cine, and comparable CSA to clinical 3D MRA.

Indexed as

Deep LearningHeart Defects, CongenitalImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance Imaging, CineAdolescentChildChild, PreschoolContrast MediaFemaleFerrosoferric OxideHumansInfantMagnetic Resonance AngiographyMaleProspective StudiesContrast MediaFerrosoferric OxideArtificial intelligenceCongenital heart diseaseDeep learningFunctional magnetic resonance imagingSteady-state free precession MRI

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Registered trials

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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.