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Infarct detection with a comprehensive cardiac CT protocol
Brian B Ghoshhajra1, Pal Maurovich-Horvat, Tust Techasith
1Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA 02114, USA.
Insights
Cardiac CT accurately detects myocardial infarction (MI) using a combination of techniques. A comprehensive approach including regional wall motion abnormalities (RWMA), rest perfusion defects (RPD), and delayed contrast enhancement (DCE) offers the highest diagnostic accuracy.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Diagnostics
Background:
- Cardiac CT offers potential for comprehensive myocardial infarction (MI) detection through regional wall motion abnormalities (RWMA), rest perfusion defects (RPD), and delayed contrast enhancement (DCE).
- The diagnostic accuracy of these cardiac CT techniques for MI detection remains largely unknown.
Purpose of the Study:
- To evaluate the diagnostic accuracy of individual and combined cardiac CT techniques for myocardial infarction (MI) detection.
- To compare the accuracy of RWMA, RPD, and DCE assessed by cardiac CT against the universal definition of MI.
Main Methods:
- A prospective study enrolled 48 patients with suspected coronary artery disease for a 64-detector row dual-source cardiac CT protocol.
- The protocol included cine for RWMA, first-pass for RPD, and delayed imaging for DCE, with blinded reader assessment.
- The 2007 American Heart Association universal definition of MI served as the gold standard.
Main Results:
- Fifty percent of patients (24/48) were diagnosed with MI based on the universal definition.
- Combined CT analysis achieved 90% accuracy, with 88% sensitivity and 92% specificity for per-patient MI detection.
- Individual techniques showed lower accuracy: RWMA (79%), RPD (67%), and DCE (79%). A combination of DCE and cine demonstrated 85% accuracy and 92% sensitivity.
Conclusions:
- Cardiac CT is a feasible method for infarct detection with good diagnostic accuracy when compared to the universal definition of MI.
- A combined evaluation incorporating cine, RPD, and DCE provides the highest diagnostic accuracy for MI detection.
- These findings support the integration of multiple CT techniques in future protocols for optimal MI detection.
Background:
Cardiac CT has the potential to offer comprehensive infarct detection by assessing regional wall motion abnormalities (RWMAs), rest perfusion defects (RPDs), and delayed contrast enhancement (DCE). However, the diagnostic accuracy of these techniques for the detection of myocardial infarction (MI) is unknown.
Methods:
Forty-eight patients with intermediate-to-high probability for coronary artery disease after single-photon emitting CT myocardial perfusion imaging were prospectively enrolled for a research comprehensive 64-detector row dual-source cardiac CT protocol that included cine images for RWMA, first-pass images for RPD, and delayed images for DCE. Blinded readers independently assessed each technique. Subsequently, a final combined analysis (cine + rest + DCE) was performed. The universal definition for MI by the 2007 American Heart Association task force was used as the "gold standard."
Results:
Twenty-four of 48 patients (50%) had infarct by the universal definition. The combined CT analysis was most accurate (90%) with the highest per-patient sensitivity (88%) and specificity (92%) versus individual assessments (RWMA, 79% and 88%; RPD, 67% and 92%; DCE, 79% and 88%). Similar findings were observed on a per-vessel basis analysis. A combination of DCE and cine showed a good accuracy (85%) and high sensitivity (92%).
Conclusions:
Infarct detection with CT is feasible with overall good diagnostic accuracy compared with the universal definition. A combined evaluation that included all techniques (cine, RPD, and DCE) had the highest diagnostic accuracy. These findings may have implications when designing future clinical and research CT protocols for optimal infarct detection.
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