Evidence map›Paper›PMID 26059326›Full record

ArticleMagnetic resonance in medicine2016

Quantification of myocardial blood flow using non-electrocardiogram-triggered MRI with three-slice coverage.

David Chen, Behzad Sharif, Xiaoming Bi, Janet Wei, Louise E J Thomson, C Noel Bairey Merz, Daniel S Berman, Debiao Li

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Interstudy repeatability of self-gated quantitative myocardial perfusion MRI.Journal of magnetic resonance imaging : JMRI · 2016
    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.

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.
Xiaoming BiMR R&D, Siemens Healthcare, Los Angeles, California, USA.
Janet WeiS. Mark Taper Foundation Imaging Center, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Louise E J ThomsonS. Mark Taper Foundation Imaging Center, Cedars-Sinai Medical Center, Los Angeles, California, 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 WANG, CHRISTINA C. · 1985 to 2011
$74.2M
Training in Advanced Heart Disease ResearchT32HL116273 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Joshua I Goldhaber, EDUARDO MARBAN · 2013 to 2026
$5.6M
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 K99-HL124323NHLBI NIH HHS R01 HL124649NHLBI NIH HHS T32 HL116273NIBIB NIH HHS R01 EB002623NIBIB NIH HHS R01-EB002623NIBIB NIH HHS T32-EB51705
6 · The paper itself

Abstract

purposeAccurate quantification of myocardial perfusion is dependent on reliable electrocardiogram (ECG) triggering. Measuring myocardial blood flow (MBF) in patients with arrhythmias or poor ECGs is currently infeasible with MR. The purpose of this study was to demonstrate the feasibility of a non-ECG-triggered method with clinically useful three-slice ventricular coverage for measurement of MBF in healthy volunteers.

methodsA saturation recovery magnetization-prepared gradient recalled echo acquisition was continuously repeated during first-pass imaging. A slice-interleaved radial trajectory was employed to enable image-based retrospective triggering. The arterial input function was generated using a beat-by-beat T1 estimation method. The proposed technique was validated against a conventional ECG-triggered dual-bolus technique in 10 healthy volunteers. The technique was further demonstrated under adenosine stress in 12 healthy volunteers.

resultsThe proposed method produced MBF with no significant difference compared with the ECG-triggered technique. The proposed method yielded mean myocardial perfusion reserve comparable to published literature.

conclusionWe have developed a non-ECG-triggered quantitative perfusion imaging method. In this preliminary study, our results demonstrate that our method yields comparable MBF compared with the conventional ECG-triggered method and that it is feasible for stress imaging.

Indexed as

ElectrocardiographyMagnetic Resonance ImagingMyocardial Perfusion ImagingAdenosineAdultAlgorithmsBlood Flow VelocityContrast MediaCoronary CirculationFeasibility StudiesGadoliniumHealthy VolunteersHumansImage Processing, Computer-AssistedMiddle AgedMyocardiumAdenosineContrast MediaGadoliniumarterial input functionflow quantificationmyocardial perfusionsaturation correctionungated acquisition

Identifiers

PMID26059326
PMCPMC4766039

What Socratic 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 Socratic graph.