Evidence map›Paper›PMID 26663511›Full record

ArticleJournal of magnetic resonance imaging : JMRI2016

Interstudy repeatability of self-gated quantitative myocardial perfusion MRI.

Devavrat Likhite, Promporn Suksaranjit, Ganesh Adluru, Nan Hu, Cindy Weng, Eugene Kholmovski, Chris McGann, Brent Wilson, Edward DiBella

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2016. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of quantitative CMR perfusion imaging by comparison with simultaneousJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  4. Article
  5. The reliability and feasibility of non-contrast adenosine stress cardiovascular magnetic resonance T1 mapping in patients on haemodialysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  6. Article
  7. Fully automated, inline quantification of myocardial blood flow with cardiovascular magnetic resonance: repeatability of measurements in healthy subjects.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Article
  8. Article
  9. 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

9 authors.

Devavrat LikhiteUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
Promporn SuksaranjitDivision of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah, USA.
Ganesh AdluruUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
Nan HuDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Cindy WengDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Eugene KholmovskiUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah, USA.
Chris McGannDivision of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah, USA.
Brent WilsonDivision of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah, USA.
Edward DiBellaUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah, USA.

Funding

Quantitative cardiac MRI perfusion for longitudinal studiesR01HL113224 · NHLBI · UNIVERSITY OF UTAH · PI DIBELLA, EDWARD VR · 2012 to 2015
$2.0M
NHLBI NIH HHS R01 HL113224
6 · The paper itself

Abstract

purposeTo evaluate the interstudy repeatability of multislice quantitative cardiovascular magnetic resonance myocardial blood flow (MBF), myocardial perfusion reserve (MPR), and extracellular volume (ECV). A unique saturation recovery self-gated acquisition was used for the perfusion scans. MATERIALS AND

methodsAn ungated golden angle radial turboFLASH pulse sequence was used to scan 10 subjects on two separate days on a 3T scanner. A single saturation pulse was followed by a set of four slices. Rest and hyperemia scans were acquired during free breathing. The images were reconstructed using an iterative algorithm with spatiotemporal constraints. The ungated images were retrospectively binned (self-gated) into near-systole and near-diastole. Deformable registration was performed to adjust for respiratory and residual cardiac motion, and the data were fit with a Fermi model to estimate the interstudy repeatability of quantitative self-gated MBF and MPR.

resultsThe coefficient of variation (CoV) of the territorial MPR using the self-gated near-systole data was 18.6%. The self-gated near-diastole data gave less good CoV of MPR, equal to 46.2%. For MBFs, and using smaller (segmental) regions, the CoVs were 20.1% and 22.7% for the estimation of myocardial blood flow at stress and rest, respectively, using the self-gated near-systole data. The self-gated near-diastole data gave CoV = 48.6% and 44.9% for stress and rest.

conclusionThe self-gated free-breathing technique for quantification of myocardial blood flow showed good repeatability for near-systole, with results comparable to published studies on interstudy repeatability of quantitative myocardial perfusion MRI using ECG-gating and breath-holds. Self-gated near-diastole data results were less repeatable. J. Magn. Reson. Imaging 2016;43:1369-1378.

Indexed as

Blood Flow VelocityCardiac-Gated Imaging TechniquesCoronary Artery DiseaseCoronary CirculationFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardial Perfusion ImagingReproducibility of ResultsSensitivity and SpecificityECG-gatinginterstudy repeatabilityMRI myocardial perfusionquantitative perfusionself-gated

Identifiers

PMID26663511
PMCPMC4865416

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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.