Evidence map›Paper›PMID 41711549›Full record

ArticleRadiology. Cardiothoracic imaging2026

Deep Learning Automated Measurement of Shunt Severity with Estimation of Uncertainty in 4D Flow MRI.

Akhilesh R R Yeluru, Arielle Tycko, Noe Cazares, Evan M Masutani, Roshun R Sankaran, Parker M Rushworth, Kent M Hall, Lily Sung, Albert Hsiao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Akhilesh R R YeluruDepartment of Bioengineering, University of California San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841.ORCID 0000-0001-5338-5416
Arielle TyckoDepartment of Radiology, University of California San Diego, La Jolla, Calif.
Noe CazaresDepartment of Radiology, University of California San Diego, La Jolla, Calif.ORCID 0009-0008-7360-8531
Evan M MasutaniDepartment of Bioengineering, University of California San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841.ORCID 0000-0002-6743-5514
Roshun R SankaranDepartment of Radiology, University of California San Diego, La Jolla, Calif.ORCID 0000-0002-0607-9659
Parker M RushworthDepartment of Medicine, University of California Irvine, Irvine, Calif.ORCID 0009-0003-0021-3081
Kent M HallDepartment of Radiology, University of California San Diego, La Jolla, Calif.
Lily SungDepartment of Radiology, University of California San Diego, La Jolla, Calif.ORCID 0009-0002-3439-3490
Albert HsiaoDepartment of Radiology, University of California San Diego, La Jolla, Calif.ORCID 0000-0002-9412-1369

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
UC San Diego Medical Scientist Training ProgramT32GM154642 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Neil C Chi, Mary Kathleen Lewinski · 2025 to 2026
$2.9M
Training in Bioengineering Research and Technology Development in Cardiovascular in Cardiopulmonary Health and DiseaseT32HL160507 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Karen L Christman, Andrew D. McCulloch · 2022 to 2026
$1.6M
NHLBI NIH HHS T32 HL160507NIBIB NIH HHS T32 EB005970NIGMS NIH HHS T32 GM007198NIGMS NIH HHS T32 GM154642
6 · The paper itself

Abstract

Purpose To assess the feasibility of a deep learning (DL) system to fully automate systemic and pulmonary blood flow measurement with four-dimensional (4D) flow MRI. Materials and Methods A total of 188 clinical 4D flow MRI examinations were retrospectively collected to develop a DL system that serially performs (

Indexed as

Deep LearningHeart Defects, CongenitalMagnetic Resonance ImagingChildFeasibility StudiesFemaleHumansImaging, Three-DimensionalMalePulmonary ArteryRetrospective Studies4D Flow MRICongenital Heart DiseaseConvolutional Neural NetworksDeep LearningShunt Severity

Identifiers

PMID41711549
PMCPMC12949416

What OpenQuestion holds

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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.