Evidence map›Paper›PMID 25227935›Full record

ArticleMagnetic resonance in medicine2015

Quantification of myocardial blood flow using non-ECG-triggered MR imaging.

David Chen, Behzad Sharif, Rohan Dharmakumar, Louise E J Thomson, C Noel Bairey Merz, Daniel S Berman, Debiao Li

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Interstudy repeatability of self-gated quantitative myocardial perfusion MRI.Journal of magnetic resonance imaging : JMRI · 2016
    Article
  5. Article
  6. Quantitative three-dimensional myocardial perfusion cardiovascular magnetic resonance with accurate two-dimensional arterial input function assessment.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2015
    Article
  7. Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2015
    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

7 authors.

David ChenDepartment of Biomedical Engineering, Northwestern University, Chicago, Illinois, USA.
Behzad SharifBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Rohan DharmakumarBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Louise E J ThomsonS. Mark Taper Foundation Imaging Center, Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
C Noel Bairey MerzBarbara Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, California, USA.
Daniel S BermanBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Debiao LiBiomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Funding

ZONA-FREE HAMSTER OVA ASSAY AS AN INDICATOR OF MALE FERTILITYM01RR000425 · NCRR · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI ANDERSON, GAIL V · 1985 to 2011
$74.2M
Whole-Heart Myocardial Blood Flow Quantification Using MRIR01HL124649 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO · 2015 to 2018
$3.3M
Magnetic Resonance Imaging of Coronary Arteries at 3.OTR01EB002623 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LI, DEBIAO · 2003 to 2012
$2.6M
Accurate Perfusion MRI for Improved Diagnosis of Microvascular Coronary DiseaseK99HL124323 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SHARIF, BEHZAD · 2014 to 2015
$276k
NCRR NIH HHS M01 RR000425NCRR NIH HHS M01-RR00425NHLBI NIH HHS K99 HL124323NHLBI NIH HHS R01 HL124649NIBIB NIH HHS EB002623NIBIB NIH HHS R01 EB002623NIBIB NIH HHS T32 EB51705
6 · The paper itself

Abstract

purposeMR myocardial perfusion imaging is dependent on reliable electrocardiogram (ECG) triggering for accurate measurement of myocardial blood flow (MBF). A non-ECG-triggered method for quantitative first-pass imaging may improve clinical feasibility in patients with poor ECG signal. The purpose of this study is to evaluate the feasibility of a non-ECG-triggered method for myocardial perfusion imaging in a single slice.

methodsThe proposed non-ECG-triggered technique uses a saturation-recovery magnetization preparation and golden-angle radial acquisition for integrated arterial input function (AIF) measurement. Image based self-gating with a temporal resolution of 42.6 ms is used to generate a first-pass image series with consistent cardiac phase. The AIF is measured using beat-by-beat T1 estimation of the ventricular blood pool. The proposed technique was performed on 14 healthy volunteers and compared against a conventional ECG-triggered dual-bolus acquisition.

resultsThe proposed method produced MBF with no significant difference compared with ECG-triggered technique (mean of 0.63 ± 0.22 mL/min/g to 0.73 ± 0.21 mL/min/g).

conclusionWe have developed a non-ECG-triggered perfusion imaging method with T1 based measurement of the AIF in a single slice. In this preliminary study, our results demonstrate that MBF measured using the proposed method is comparable to the conventional ECG-triggered method.

Indexed as

AdultCoronary CirculationCoronary VesselsFemaleHumansLinear ModelsMagnetic Resonance AngiographyMaleMyocardial Perfusion ImagingYoung Adultarterial input functionflow quantificationmyocardial perfusionsaturation correctionungated acquisition

Identifiers

PMID25227935
PMCPMC4362861

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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.