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Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
Published on: June 11, 2019
Myocardial ischemia testing with computed tomography: emerging strategies
Prabhakar Rajiah1, Christopher D Maroules2
1Department of Radiology, Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, Texas, USA.
Cardiac computed tomography (CT) shows promise for diagnosing coronary artery disease (CAD). Emerging CT techniques like CT perfusion (CTP) and CT-derived fractional flow reserve (CT-FFR) aim to improve the detection of ischemia-inducing lesions.
Area of Science:
- Cardiovascular imaging
- Radiology
- Medical diagnostics
Background:
- Cardiac computed tomography (CT) effectively excludes obstructive coronary artery disease (CAD) in low-to-intermediate risk patients.
- However, CT has limited specificity in identifying ischemia-inducing lesions, hindering its role in guiding revascularization.
- Current CT limitations necessitate advanced techniques for functional assessment.
Purpose of the Study:
- To review emerging CT technologies for evaluating myocardial ischemia.
- To discuss the potential of CT perfusion (CTP), CT-derived fractional flow reserve (CT-FFR), and coronary transluminal attenuation gradient (TAG) in assessing lesion significance.
Main Methods:
- Review of recent technological advancements in cardiac CT.
- Discussion of CTP, CT-FFR, and TAG methodologies.
- Analysis of the diagnostic capabilities of these emerging techniques for myocardial ischemia.
Main Results:
- CTP, CT-FFR, and TAG offer promising approaches to provide hemodynamic information.
- These techniques aim to improve the detection of hemodynamically significant stenosis.
- Emerging CT methods have the potential to enhance the diagnostic accuracy for lesion-specific ischemia.
Conclusions:
- Advanced CT techniques like CTP, CT-FFR, and TAG are emerging tools for myocardial ischemia evaluation.
- These methods may overcome the specificity limitations of standard cardiac CT.
- Further validation is needed to establish their role in clinical decision-making for CAD management.
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