Angiography-based quantitative coronary contrast-flow ratio measurements correlate with myocardial ischemia assessed by stress MRI.


Journal

The international journal of cardiovascular imaging
ISSN: 1875-8312
Titre abrégé: Int J Cardiovasc Imaging
Pays: United States
ID NLM: 100969716

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 22 01 2020
accepted: 16 04 2020
pubmed: 6 5 2020
medline: 6 10 2020
entrez: 6 5 2020
Statut: ppublish

Résumé

Contrast-flow quantitative flow ratio (cQFR) is a new technology for quantitative evaluation of coronary stenosis using computational fluid dynamics based on angiograms. The aim of this study was to assess the sensitivity and specificity of cQFR to detect myocardial ischemia using stress magnetic resonance imaging (MRI) as a reference standard. Patients who received stress MRI and coronary angiography were selected from the hospital database. Relevant ischemia on stress MRI was defined as a perfusion deficit in ≥ 2 of 16 segments. cQFR was quantitated based on 3-dimensional quantitative coronary angiography using QAngio XA3D1.1 software by two blinded and independent investigators. A cQFR of ≤ 0.80 was considered abnormal. Among 87 patients 230 vessels met the criteria for full analysis by cQFR (88%). In vascular territories with a significant perfusion deficit, cQFR was significantly lower compared to areas with normal perfusion (0.72 (0.62-0.78) vs. 0.96 (0.89-0.99); p < 0.001). The sensitivity of cQFR in detecting significant epicardial stenoses of coronary vessels with documented ischemia in stress MRI was 81% (68-90%), the specificity was 88% (82-92%). Diameter stenoses (DS) and area stenoses (AS) in vessels with positive stress MRI were significantly higher than in vessels without ischemia (DS 59.1% (49.4-68.4%) vs. 34.8% (27.1-46.1%) p < 0.001; AS 75.6% (63.0-85.2%) vs. 45.0% (30.8-63.6%), p < 0.001). The analysis reveals a high correlation between coronary stenosis measured by cQFR and ischemic areas detected by stress MRI. The data set the stage to plan randomized studies assessing cQFR measurements with regard to clinical outcomes.

Identifiants

pubmed: 32367188
doi: 10.1007/s10554-020-01855-z
pii: 10.1007/s10554-020-01855-z
pmc: PMC7381441
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1407-1416

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Auteurs

Karsten Lenk (K)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany. karsten.lenk@medizin.uni-leipzig.de.

Valentin Schwarzbach (V)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

Marios Antoniadis (M)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

Maximilian Blum (M)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

Samira Zeynalova (S)

Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.

Andreas Hagendorff (A)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

David Leistner (D)

Department of Cardiology, Charité Berlin University Medicine, Campus Benjamin Franklin, Berlin, Germany.

Ulf Landmesser (U)

Department of Cardiology, Charité Berlin University Medicine, Campus Benjamin Franklin, Berlin, Germany.

Daniel Lavall (D)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

Ulrich Laufs (U)

Department of Cardiology, University Hospital, Leipzig University, Leipzig, Germany.

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