Evidence map›Paper›PMID 27583385›Full record

ArticlePloS one2016

Quantitative Perfusion Analysis of First-Pass Contrast Enhancement Kinetics: Application to MRI of Myocardial Perfusion in Coronary Artery Disease.

Sohae Chung, Binita Shah, Pippa Storey, Sohah Iqbal, James Slater, Leon Axel

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Sub-segmental quantification of single (stress)-pass perfusion CMR improves the diagnostic accuracy for detection of obstructive coronary artery disease.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Observational
  2. Article
  3. Article
  4. Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    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

6 authors.

Sohae ChungCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, United States of America.ORCID http://orcid.org/0000-0002-1132-900X
Binita ShahDepartment of Medicine, Division of Cardiology, New York University School of Medicine, New York, NY, 10016, United States of America.
Pippa StoreyCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, United States of America.
Sohah IqbalDepartment of Medicine, Division of Cardiology, New York University School of Medicine, New York, NY, 10016, United States of America.
James SlaterDepartment of Medicine, Division of Cardiology, New York University School of Medicine, New York, NY, 10016, United States of America.
Leon AxelCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, 10016, United States of America.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MASURKAR, ARJUN VIJAY · 1990 to 2019
$36.1M
Quantitative Myocardial Perfusion in Assessment with MRIR01HL083309 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI AXEL, LEON · 2006 to 2009
$2.2M
Institutional Clinical and Translational Science AwardKL2TR000053 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL, HOCHMAN, JUDITH S · 2012 to 2014
$899k
Anti-inflammatory therapy during percutaneous coronary interventionIK2CX001074 · VA · VA MEDICAL CENTER · PI SHAH, BINITA · 2016 to 2021
–
CSRD VA IK2 CX001074NCATS NIH HHS KL2 TR000053NCATS NIH HHS UL1 TR001445NHLBI NIH HHS R01 HL083309NIA NIH HHS P30 AG008051
6 · The paper itself

Abstract

purposePerfusion analysis from first-pass contrast enhancement kinetics requires modeling tissue contrast exchange. This study presents a new approach for numerical implementation of the tissue homogeneity model, incorporating flexible distance steps along the capillary (NTHf).

methodsThe proposed NTHf model considers contrast exchange in fluid packets flowing along the capillary, incorporating flexible distance steps, thus allowing more efficient and stable calculations of the transit of tracer through the tissue. We prospectively studied 8 patients (62 ± 13 years old) with suspected CAD, who underwent first-pass perfusion CMR imaging at rest and stress prior to angiography. Myocardial blood flow (MBF) and myocardial perfusion reserve index (MPRI) were estimated using both the NTHf and the conventional adiabatic approximation of the TH models. Coronary artery lesions detected at angiography were clinically assigned to one of three categories of stenosis severity ('insignificant', 'mild to moderate' and 'severe') and related to corresponding myocardial territories.

resultsThe mean MBF (ml/g/min) at rest/stress and MPRI were 0.80 ± 0.33/1.25 ± 0.45 and 1.68 ± 0.54 in the insignificant regions, 0.74 ± 0.21/1.09 ± 0.28 and 1.54 ± 0.46 in the mild to moderate regions, and 0.79 ± 0.28/0.63 ± 0.34 and 0.85 ± 0.48 in the severe regions, respectively. The correlation coefficients of MBFs at rest/stress and MPRI between the NTHf and AATH models were r = 0.97/0.93 and r = 0.91, respectively.

conclusionsThe proposed NTHf model allows efficient quantitative analysis of the transit of tracer through tissue, particularly at higher flow. Results of initial application to MRI of myocardial perfusion in CAD are encouraging.

Indexed as

Contrast MediaCoronary CirculationMagnetic Resonance ImagingAgedCoronary Artery DiseaseHumansKineticsMaleModels, BiologicalMyocardial Perfusion ImagingContrast Media

Identifiers

PMID27583385
PMCPMC5008793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.