Evidence map›Paper›PMID 32026327›Full record

Observational studyJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Rationale and design of the quantification of myocardial blood flow using dynamic PET/CTA-fused imagery (DEMYSTIFY) to determine physiological significance of specific coronary lesions.

Ahmed AlBadri, Marina Piccinelli, Sang-Geon Cho, Joo Myung Lee, Wissam Jaber, Carlo N De Cecco, Habib Samady, Bon-Kwon Koo, Hee-Seung Bom, Ernest V Garcia

Registry-linked trialOpen access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04221594 (Quantification of Myocardial Blood Flow Using Dynamic PET/CTA Fused Imagery to Determine the Physiological Significance of Specific Coronary Lesions.), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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.

NCT04221594 completednot on this map

Quantification of Myocardial Blood Flow Using Dynamic PET/CTA Fused Imagery to Determine the Physiological Significance of Specific Coronary Lesions.

TypeobservationalSponsorEmory UniversityRan2019 to 2023Enrolled68ConditionsCoronary Artery DiseaseArmsInvasive Cardiac Catheterization (ICA), Coronary Computed Tomographic Angiogram (CCTA), Dynamic Cardiac Positron Emission Tomography (dPET)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Determination of [N-13]-ammonia extraction fraction in patients with coronary artery disease by calibration to invasive coronary and fractional flow reserve.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  3. Article
  4. Review
  5. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Review
  6. Article
  7. KSNM60 in Cardiology: Regrowth After a Long Pause.Nuclear medicine and molecular imaging · 2021
    Review
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

10 authors at 4 institutions in 2 countries.

Ahmed AlBadriDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Marina PiccinelliDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Sang-Geon ChoDepartment of Nuclear Medicine, Chonnam National University, Gwangju, Korea.
Joo Myung LeeSamsung Medical Center, Heart Vascular Stroke Institute, Seoul, Korea.
Wissam JaberDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Carlo N De CeccoDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Habib SamadyDivision of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Bon-Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
Hee-Seung BomDepartment of Nuclear Medicine, Chonnam National University, Gwangju, Korea.
Ernest V GarciaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA. ernest.garcia@emory.edu.
Emory University · USChonnam National University · KRSamsung Medical Center · KRSeoul National University Hospital · KR

Funding

Quantification of myocardial blood flow using Dynamic PET/CTA fused imagery to determine physiological significance of specific coronary lesionsR01HL143350 · NHLBI · EMORY UNIVERSITY · PI PICCINELLI, MARINA · 2018 to 2021
$2.4M
NHLBI NIH HHS R01 HL143350
6 · The paper itself

Abstract

backgroundCoronary physiology assessments have been shown by multiple trials to add clinical value in detecting significant coronary artery disease and predicting cardiovascular outcomes. Fractional flow reserve (FFR) obtained during invasive coronary angiography (ICA) has become the new reference standard for hemodynamic significance detection. Absolute myocardial blood flow (MBF) quantification by means of dynamic positron emission tomography (dPET) has high diagnostic and prognostic values. FFR is an invasive measure and as such cannot be applied broadly, while MBF quantification is commonly performed on standard vascular territories intermixing normal flow from normal regions with abnormal flow from abnormal regions and consequently limiting its diagnostic power.

objectiveThe aim of this study is to provide physicians with reliable software tools for the non-invasive assessment of lesion-specific physiological significance for the entire coronary tree by combining PET-derived absolute flow data and coronary computed tomography angiography (CTA)-derived anatomy and coronary centerlines.

methodsThe dynamic PET/CTA myocardial blood flow assessment with fused imagery (DEMYSTIFY) study is an observational prospective clinical study to develop algorithms and software tools to fuse coronary anatomy data obtained from CTA with dPET data to non-invasively measure absolute MBF, myocardial flow reserve, and relative flow reserve across specific coronary lesions. Patients (N = 108) will be collected from 4 institutions (Emory University Hospital, USA; Chonnam National University Hospital, South Korea; Samsung Medical Center, South Korea; Seoul National University Hospital, South Korea). These results will be compared to those obtained invasively in the catheterization laboratory and to a relatively novel non-invasive technique to estimate FFR based on CTA and computational fluid dynamics.

conclusionsSuccess of these developments should lead to the following benefits: (1) eliminate unnecessary invasive coronary angiography in patients with no significant lesions, (2) avoid stenting physiologically insignificant lesions, (3) guide percutaneous coronary interventions process to the location of significant lesions, (4) provide a flow-color-coded 3D roadmap of the entire coronary tree to guide bypass surgery, and (5) use less radiation and lower the cost from unnecessary procedures. TRIAL REGISTRY: The DEMYSTIFY study has been registered on ClinicalTrials.gov with registration number NCT04221594.

Indexed as

Coronary CirculationAlgorithmsComputed Tomography AngiographyCoronary Artery DiseaseCoronary StenosisDatabases, FactualFractional Flow Reserve, MyocardialHemodynamicsHumansMicrocirculationMyocardial Perfusion ImagingMyocardiumPositron-Emission TomographyPredictive Value of TestsProspective StudiesReference Standardscoronary flow reserveDynamic PETfractional flow reservefusion imagingmicrovascular dysfunctionrelative flow reserve

Identifiers

PMID32026327
PMCPMC7332386
OpenAlexW3005214854

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.