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Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against invasive methods.
- Source :
-
Journal of Cardiovascular Magnetic Resonance (BioMed Central) . 9/13/2016, Vol. 18, p1-12. 12p. 1 Black and White Photograph, 6 Charts, 4 Graphs. - Publication Year :
- 2016
-
Abstract
- Background: Mathematical modeling of perfusion cardiovascular magnetic resonance (CMR) data allows absolute quantification of myocardial blood flow and can potentially improve the diagnosis and prognostication of obstructive coronary artery disease (CAD), against the current clinical standard of visual assessments. This study compares the diagnostic performance of distributed parameter modeling (DP) against the standard Fermi model, for the detection of obstructive CAD, in per vessel against per patient analysis. Methods: A pilot cohort of 28 subjects (24 included in the final analysis) with known or suspected CAD underwent adenosine stress-rest perfusion CMR at 3T. Data were analysed using Fermi and DP modeling against invasive coronary angiography and fractional flow reserve, acquired in all subjects. Obstructive CAD was defined as luminal stenosis of ≥70 % alone, or luminal stenosis ≥50 % and fractional flow reserve ≤0.80. Results: On ROC analysis, DP modeling outperformed the standard Fermi model, in per vessel and per patient analysis. In per patient analysis, DP modeling-derived myocardial blood flow at stress demonstrated the highest sensitivity and specificity (0.96, 0.92) in detecting obstructive CAD, against Fermi modeling (0.78, 0.88) and visual assessments (0.79, 0.88), respectively. Conclusions: DP modeling demonstrated consistently increased diagnostic performance against Fermi modeling and showed that it may have merit for stratifying patients with at least one vessel with obstructive CAD. Trial Registration: Clinical Trial Registration: Clinicaltrials.gov NCT01368237 Registered 6 of June 2011. URL: https://clinicaltrials.gov/ct2/show/NCT01368237 [ABSTRACT FROM AUTHOR]
- Subjects :
- *CORONARY disease
*PERFUSION
*RADIONUCLIDE imaging
*RESEARCH funding
*STATISTICAL hypothesis testing
*STATISTICS
*T-test (Statistics)
*PILOT projects
*INTER-observer reliability
*CONTRAST media
*RECEIVER operating characteristic curves
*DATA analysis software
*DESCRIPTIVE statistics
*MAGNETIC resonance angiography
Subjects
Details
- Language :
- English
- ISSN :
- 1532429X
- Volume :
- 18
- Database :
- Academic Search Index
- Journal :
- Journal of Cardiovascular Magnetic Resonance (BioMed Central)
- Publication Type :
- Academic Journal
- Accession number :
- 118309327
- Full Text :
- https://doi.org/10.1186/s12968-016-0270-1