Evidence map›Paper›PMID 31670858›Full record

ArticleMagnetic resonance in medicine2020

Quantitative 3D myocardial perfusion with an efficient arterial input function.

Jason Kraig Mendes, Ganesh Adluru, Devavrat Likhite, Merlin J Fair, Peter D Gatehouse, Ye Tian, Apoorva Pedgaonkar, Brent Wilson, Edward V R DiBella

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  8. A theoretical framework for retrospectiveMagnetic resonance in medicine · 2021
    Article
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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.

Jason Kraig MendesDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.ORCID 0000-0001-8146-535X
Ganesh AdluruDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.ORCID 0000-0001-9530-1743
Devavrat LikhiteDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.
Merlin J FairCardiovascular Research Centre, Royal Brompton Hospital, London, United Kingdom.ORCID 0000-0002-9100-3105
Peter D GatehouseCardiovascular Research Centre, Royal Brompton Hospital, London, United Kingdom.
Ye TianDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.ORCID 0000-0002-8559-4404
Apoorva PedgaonkarDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.
Brent WilsonDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.
Edward V R DiBellaDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.ORCID 0000-0001-9196-3731

Funding

Quantitative MRI for characterizing heart failure with preserved ejection fractionR01HL135328 · NHLBI · UNIVERSITY OF UTAH · PI DIBELLA, EDWARD VR · 2017 to 2020
$2.6M
Improved detection of coronary artery disease in atrial fibrillation patients using ungated perfusion MRI methodsR01HL172853 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Ganesh Adluru · 2024 to 2026
$1.7M
Improved Estimation of Ischemic Burden with Cardiac MRIR01HL138082 · NHLBI · UNIVERSITY OF UTAH · PI ADLURU, GANESH · 2017 to 2020
$1.5M
Siemens MAGNETOM Prisma 3T MRI scannerS10OD018482 · OD · UNIVERSITY OF UTAH · PI PARKER, DENNIS L · 2015 to 2015
$1.2M
NHLBI NIH HHS R01 HL135328NHLBI NIH HHS R01 HL138082NHLBI NIH HHS R01 HL172853NIH HHS S10 OD018482
6 · The paper itself

Abstract

purposeThe purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack-of-stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailored saturation pulse design, and potential whole heart coverage during quantitative stress perfusion. THEORY AND

methodsAll studies were performed free-breathing on a Prisma 3T MRI scanner. Phantom validation was used to verify sequence accuracy. A total of 21 subjects (3 patients with known disease) were scanned, 12 with a rest only protocol and 9 with both stress (regadenoson) and rest protocols. First pass quantitative perfusion was performed with gadoteridol (0.075 mmol/kg).

resultsImplementation and quantitative perfusion results are shown for healthy subjects and subjects with known coronary disease. Average rest perfusion for the 15 included healthy subjects was 0.79 ± 0.19 mL/g/min, the average stress perfusion for 6 healthy subject studies was 2.44 ± 0.61 mL/g/min, and the average global myocardial perfusion reserve ratio for 6 healthy subjects was 3.10 ± 0.24. Perfusion deficits for 3 patients with ischemia are shown. Average resting heart rate was 59 ± 7 bpm and the average stress heart rate was 81 ± 10 bpm.

conclusionThis work demonstrates that a quantitative 3D myocardial perfusion sequence with the acquisition of a 2D arterial input function is feasible at high stress heart rates such as during stress. T1 values and gadolinium concentrations of the sequence match the reference standard well in a phantom, and myocardial rest and stress perfusion and myocardial perfusion reserve values are consistent with those published in literature.

Indexed as

Coronary CirculationMyocardial Perfusion ImagingAlgorithmsHumansMagnetic Resonance ImagingPerfusionPhantoms, Imaging3D cardiac perfusionarterial input functionquantitative cardiac perfusion

Identifiers

PMID31670858
PMCPMC7047561

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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.