Evidence map›Paper›PMID 35237785›Full record

ArticleJournal of biomechanical engineering2022

A Noninvasive Assessment of Flow Based on Contrast Dispersion in Computed Tomography Angiography: A Computational and Experimental Phantom Study.

Parastou Eslami, Jung-Hee Seo, Amir Ali Rahsepar, Asim Shafique, Shirley F Rollison, Albert C Lardo, Rajat Mittal, Marcus Y Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2022. 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
0.3field-weighted citation impact, top 47% of its field
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, 2 citations in OpenAlex.

  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

8 authors at 6 institutions in 1 country.

Parastou EslamiDepartment of Radiology, Harvard Medical School, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114.
Jung-Hee SeoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218.
Amir Ali RahseparDivision of Cardiology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21205.
Asim ShafiqueSchool of Osteopathic Medicine, Rowan University, Stratford, NJ 08084.
Shirley F RollisonNational Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD 2089.
Albert C LardoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218.
Rajat MittalDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218; Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD 21287.
Marcus Y ChenNational Heart, Lung and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD 2089.
Johns Hopkins University · USHarvard University · USJohns Hopkins Medicine · USNational Heart Lung and Blood Institute · USNational Institutes of Health · USRowan University · US

Funding

Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
Cardiovascular Clinical Section StudiesZICHL006199 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI SACK, MICHAEL · 2017 to 2025
$8.8M
6 · The paper itself

Abstract

Transluminal attenuation gradient (TAG), defined as the gradient of the contrast agent attenuation drop along the vessel, is an imaging biomarker that indicates stenosis in the coronary arteries. The transluminal attenuation flow encoding (TAFE) equation is a theoretical platform that quantifies blood flow in each coronary artery based on computed tomography angiography (CTA) imaging. This formulation couples TAG (i.e., contrast dispersion along the vessel) with fluid dynamics. However, this theoretical concept has never been validated experimentally. The aim of this proof-of-principle phantom study is to validate TAFE based on CTA imaging. Dynamic CTA images were acquired every 0.5 s. The average TAFE estimated flow rates were compared against four predefined pump values in a straight (20, 25, 30, 35, and 40 ml/min) and a tapered phantom (25, 35, 45, and 55 ml/min). Using the TAFE formulation with no correction, the flow rates were underestimated by 33% and 81% in the straight and tapered phantoms, respectively. The TAFE formulation was corrected for imaging artifacts focusing on partial volume averaging and radial variation of contrast enhancement. After corrections, the flow rates estimated in the straight and tapered phantoms had an excellent Pearson correlation of r = 0.99 and 0.87 (p < 0.001), respectively, with only a 0.6%±0.2 mL/min difference in estimation of the flow rate. In this proof-of-concept phantom study, we corrected the TAFE formulation and showed a good agreement with the actual pump values. Future clinical validations are needed for feasibility of TAFE in clinical use.

Indexed as

Computed Tomography AngiographyCoronary VesselsCoronary AngiographyPhantoms, ImagingTomography, X-Ray Computedcontrast agentcoronary computed tomographynoninvasive flow ratetime densitytransluminal attenuation gradienttransluminal flow encoding

Identifiers

PMID35237785
PMCPMC8990739
OpenAlexW4214826539

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.