Evidence map›Paper›PMID 41301230›Full record

ArticleBioengineering (Basel, Switzerland)2025

Multiscale Coronary Arterial Network Generation and Hemodynamics Using Patient-Specific Fractional Myocardial Blood Volume.

Mostafa Mahmoudi, Arutyun Pogosyan, Amirhossein Arzani, Kim-Lien Nguyen

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. 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

4 authors.

Mostafa MahmoudiDivision of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA.ORCID 0000-0003-4762-3523
Arutyun PogosyanDivision of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA.ORCID 0009-0001-2834-2809
Amirhossein ArzaniDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Kim-Lien NguyenDivision of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA.ORCID 0000-0002-8854-2976

Funding

Ferumoxytol-Enhanced Cardiac MRI for Ischemic Heart DiseaseR01HL148182 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NGUYEN, KIM-LIEN T · 2020 to 2024
$3.8M
CSRD VA I01 CX001901NHLBI NIH HHS R01 HL148182NIH HHS 1R01HL148182-04Veterans Health Administration I01CX001901
6 · The paper itself

Abstract

Ischemic heart disease (IHD) is the leading cause of death worldwide. Although 90% of the intramyocardial blood volume resides in the microvasculature, clinical imaging methods cannot visualize the microvascular coronary network in vivo, and non-invasive hemodynamic estimates overlook patient-specific microcirculatory contributions. Herein, we present a multiscale framework to extend the epicardial coronary tree and generate 1D microvascular networks in the myocardium based on ferumoxytol-enhanced magnetic resonance coronary imaging and fractional myocardial blood volume (fMBV) maps. Synthetic arterial networks were constructed from MRI data belonging to three swine, four healthy volunteers, and one IHD patient using a modified multistage, adaptive constrained constructive optimization approach. Hemodynamic simulations were performed in synthetic arterial networks. Morphological parameters were compared with empirical models. In 126 arterial networks (

Indexed as

adaptive constrained constructive optimizationarterial network generationdigital heartfractional myocardial blood volumeischemic heart diseasemagnetic resonance imagingmicrovascular diseasemyocardial perfusion

Identifiers

PMID41301230
PMCPMC12649997

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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.