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Yale University School of Medicine New Haven, CT 06510
Atlantic Medical Imaging Galloway, NJ 08205
Yale University School of Medicine New Haven, CT 06510
Atherosclerosis is not a static process. A slow build up of plaque over time is the usual course, but instances of regression have also been seen [1]. These are of great interest because they may hold clues to controlling or even reversing the disease. Although plaque in the carotids, aorta, and peripheral arteries can be imaged noninvasively by several techniques, the coronary arteries have been more difficult because of their motion. Noninvasive imaging of coronary artery plaque has until recently been restricted to calcified areas. Advances in CT arteriography now enable imaging of noncalcified plaque as well [2].
A 53-year-old asymptomatic man presented with a family history of coronary atherosclerosis. His was on atorvastatin therapy, 10 mg daily, and his total serum cholesterol was 190 mg/dL. He was not hypertensive, diabetic, or a smoker. Because of his desire to better characterize his risk, he requested coronary arteriography using CT.
Imaging was performed on a 16-MDCT scanner (LightSpeed 16, GE Healthcare). Curved reformatted images of the coronary arteries were made on a GE Healthcare Advantage Workstation with dedicated software. Views of the plaque were matched for position and orientation and traced by hand (ImageJ, National Institutes of Health).
The patient's first CT scan showed plaque in the left anterior descending coronary artery 13.5 mm in length; the greatest longitudinal area was 20 mm2 and the transverse area was 5 mm2 (Fig. 9). Part of the central area had attenuation matching the enhanced arterial lumen (220 H) and represented either volume averaging with calcium or possibly an ulceration. Another part had calcium attenuation (403 H). The shoulders on either side of this had attenuation values between 80 H and 100 H.
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CT coronary arteriography can, in some cases, show the evolution of atherosclerotic plaque over time [3]. CT may become a useful research tool to study the natural history of plaque, the relationship between plaque burden and risk factors, and the effects of pharmacologic intervention on plaque size and composition [4]. A robust automated or semiautomated segmentation algorithm will be needed to measure plaque volumes quickly and accurately if CT is to be used to stratify risk and to follow therapy. Reproducibility of the measurements will be especially important.
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