Evidence map›Paper›PMID 37076326›Full record

ArticleJournal of cardiovascular computed tomography

Endothelial shear stress computed from coronary computed tomography angiography: A direct comparison to intravascular ultrasound.

Diaa Hakim, Ahmet U Coskun, Charles Maynard, Zhongyue Pu, Deborah Rupert, Nicholas Cefalo, Michelle Cormier, Mona Ahmed, James Earls, Rob Jennings and 8 more

Abstract read
In one paragraph

Article in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

18 authors.

Diaa HakimCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA.
Ahmet U CoskunDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA.
Charles MaynardDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, USA.
Zhongyue PuDepartment of Medical Science, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Deborah RupertMedical Scientist Training Program, Stonybrook University, New York, NY, USA.
Nicholas CefaloCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA.
Michelle CormierCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA.
Mona AhmedCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA; Department of Molecular Medicine and Surgery, Karolinska Institute, Karolinska University Hospital Solna, Stockholm, Sweden.
James EarlsCleerly Laboratory, Cleerly Inc, Denver, Co, USA.
Rob JenningsCleerly Laboratory, Cleerly Inc, Denver, Co, USA.
Kevin CroceCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA.
Saima MushtaqDepartment of Perioperative and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Daniele AndreiniDepartment of Perioperative and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy.
Edoardo ConteDepartment of Perioperative and Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan, Italy.
David MolonyNortheast Georgia Health System, Gainesville, GA, USA.
Habib SamadyNortheast Georgia Health System, Gainesville, GA, USA.
James K MinCleerly Laboratory, Cleerly Inc, Denver, Co, USA.
Peter H StoneCardiovascular Division, Brigham & Women's Hospital/Harvard Medical School, Boston, MA, USA. Electronic address: pstone@bwh.harvard.edu.

Funding

Unique value of real-time shear stress to enhance coronary disease managementR01HL140498 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI STONE, PETER HOWARD, TEARNEY, GUILLERMO J · 2018 to 2022
$3.9M
Integrating Coronary Atherosclerosis with Physiologic Features for Optimized Risk StratificationR01HL146144 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MIN, JAMES K, STONE, PETER HOWARD · 2021 to 2024
$2.5M
NHLBI NIH HHS R01 HL140498NHLBI NIH HHS R01 HL146144
6 · The paper itself

Abstract

introductionIntravascular ultrasound (IVUS) studies have shown that biomechanical variables, particularly endothelial shear stress (ESS), add synergistic prognostic insight when combined with anatomic high-risk plaque features. Non-invasive risk assessment of coronary plaques with coronary computed tomography angiography (CCTA) would be helpful to enable broad population risk-screening.

aimTo compare the accuracy of ESS computation of local ESS metrics by CCTA vs IVUS imaging.

methodsWe analyzed 59 patients from a registry of patients who underwent both IVUS and CCTA for suspected CAD. CCTA images were acquired using either a 64- or 256-slice scanner. Lumen, vessel, and plaque areas were segmented from both IVUS and CCTA (59 arteries, 686 3-mm segments). Images were co-registered and used to generate a 3-D arterial reconstruction, and local ESS distribution was assessed by computational fluid dynamics (CFD) and reported in consecutive 3-mm segments.

resultsAnatomical plaque characteristics (vessel, lumen, plaque area and minimal luminal area [MLA] per artery) were correlated when measured with IVUS and CCTA: 12.7 ​± ​4.3 vs 10.7 ​± ​4.5 ​mm

conclusionLocal ESS evaluation by CCTA is possible and similar to IVUS; and is useful for identifying local flow patterns that are relevant to plaque development, progression, and destabilization.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHumansPredictive Value of TestsTomography, X-Ray ComputedUltrasonography, InterventionalCCTACoronary computed tomography angiographyEndothelial shear stressESSIntravascular ultrasoundIVUS

Identifiers

PMID37076326
PMCPMC10993230

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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.