Key result
Multi-modal imaging technologies were compared for their accuracy in detecting and assessing high-risk features of atherosclerotic plaques, with each technique showing specific strengths and drawbacks.
Why the study?
What is the accuracy of various multi-modal imaging technologies in detecting and assessing high-risk features of atherosclerotic plaques?
What is the accuracy of various multi-modal imaging technologies in detecting and assessing high-risk features of atherosclerotic plaques?
Multi-modal imaging techniques offer varying strengths and drawbacks in identifying high-risk atherosclerotic plaque features for cardiovascular risk assessment.
May guide modality selection for high-risk plaque features; leaves open optimal multi-modal integration in prospective trials.
Atherosclerotic plaques can be responsible for life-threatening cardiovascular and cerebrovascular events. Some features of the plaque, such as a thin fibrous cap, large necrotic core, macrophage infiltration, neovascularization, and intraplaque hemorrhage, are associated with a major risk of such events and so their assessment is fundamental. Novel imaging techniques, each one with its own strength and drawbacks, can help in the evaluation and quantification of atherosclerosis. An analysis of the recent literature was carried out. The different techniques were compared by evaluating the accuracy of each one in the detection and assessment of the atherosclerotic plaque's features named above.
No takes yet. Share an insight, caveat, or question.
Casciani et al. (2012) conducted a review in Atherosclerosis. Multi-modal imaging technologies was evaluated on Accuracy in the detection and assessment of atherosclerotic plaque features. Multi-modal imaging technologies were compared for their accuracy in detecting and assessing high-risk features of atherosclerotic plaques, with each technique showing specific strengths and drawbacks.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: