Evidence map›Paper›PMID 31005158›Full record

ArticleEuropean journal of radiology2019

Improved visualization of the coronary arteries using motion correction during vasodilator stress CT myocardial perfusion imaging.

Bhavna Balaney, Mani Vembar, Michael Grass, Amita Singh, Keigo Kawaji, Luis Landeras, Jonathan Chung, Victor Mor-Avi, Amit R Patel

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in European journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Bhavna BalaneyDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Mani VembarDepartment of CT Clinical Science, Philips Healthcare, Cleveland, OH, United States.
Michael GrassPhilips Research, Hamburg, Germany.
Amita SinghDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Keigo KawajiDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Luis LanderasDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Jonathan ChungDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Victor Mor-AviDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States.
Amit R PatelDepartments of Medicine and Radiology, University of Chicago Medical Center, Chicago, IL, United States. Electronic address: amitpatel@uchicago.edu.
University of Chicago Medical Center · USPhilips (Germany) · DEPhilips (United States) · US

Funding

MULTIDISCIPLINARY CARDIAC SCIENCEST32HL007381 · NHLBI · UNIVERSITY OF CHICAGO · PI JEANNE M DECARA, Yoav Gilad · 1985 to 2026
$12.5M
NHLBI NIH HHS T32 HL007381
6 · The paper itself

Abstract

backgroundVasodilator stress computed tomography perfusion (sCTP) imaging is complementary to coronary CT angiography (CCTA), used to determine the hemodynamic significance of coronary artery disease. However, it requires a separate image acquisition due to motion artifacts caused by higher heart rates during stress, resulting in increased iodine contrast dose and radiation. We sought to determine whether a novel motion correction algorithm applied to stress images would improve the visualization of the coronary arteries to potentially allow CCTA + sCTP evaluation in a single scan.

methods28 patients referred for clinically indicated CCTA (iCT, Philips) underwent sCTP imaging (retrospective-gating with dose modulation; 100 kVp and 250 mA; 5.2 ± 4.3 mSv) after regadenoson (0.4 mg, Astellas). Stress images were reconstructed using standard filtered back-projection (FBP) and also processed to generate interaction-free coronary motion-compensated back-projection reconstructions (MCR). Each coronary artery from standard FBP and MCR images was viewed side-by-side by a reader blinded to the reconstruction technique, who graded severity of motion artifact by segment (scale 0-5, with 3 as the threshold for diagnostic quality) and to measure signal-to-noise and contrast-to-noise ratios (SNR, CNR).

resultsVisualization scores were higher with MCR for all coronary segments, including 14/86 (16%) segments deemed as non-diagnostic on FBP images. SNR (7 ± 2) and CNR (15 ± 8) were unchanged by motion-correction (7 ± 3, p = 0.88 and 15 ± 5, p = 0.94, respectively).

conclusionsMCR improves the visualization of coronary anatomy on sCTP images without degrading image characteristics. This algorithm is an important step towards the combined assessment of coronary anatomy and myocardial perfusion in a single scan, which will reduce study time, radiation exposure and contrast dose.

Indexed as

AlgorithmsArtifactsComputed Tomography AngiographyContrast MediaCoronary AngiographyCoronary Artery DiseaseFemaleHeart RateHumansMaleMiddle AgedMotionMyocardial Perfusion ImagingProspective StudiesRadiation DosageRadiation ExposureContrast MediaVasodilator AgentsCoronary computed tomographyMyocardial perfusion imagingNoninvasive coronary angiographyVasodilator stress testing

Identifiers

PMID31005158
PMCPMC8240649
OpenAlexW2919000815

What OpenQuestion holds

Textmetadata
LicenceTDM
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.