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Atherosclerosis imaging in statin intervention trials
From the Departments of 1Internal Medicine, and 2Laboratory Medicine, The Jikei University School of Medicine, Kashiwa, Japan, and 3Department of Clinical Dietetics & Human Nutrition, Faculty of Pharmaceutical Sciences, Josai University, Saitama, Japan
Address correspondence to Dr H. Yanai, Department of Internal Medicine, Kashiwa Hospital, The Jikei University School of Medicine, Chiba 277-8567, Japan. email: yanaih@jikei.ac.jp
| The first 150 words of the full text of this article appear below. |
| Introduction |
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Cardiovascular diseases are the principal causes of mortality in middle-aged and older people worldwide. Coronary heart disease (CHD) is the most common cardiovascular disease, and atherosclerosis is considered its most important cause. Epidemiological, clinical, and experimental evidence suggests that high serum cholesterol is associated with atherosclerosis.1 Several large randomized controlled studies of statins (drugs that inhibit 3-hydroxy-3-methylglutaryl-coenzyme A, or HMG-CoA) have demonstrated a clear reduction in the incidence of coronary events, in patients either with or without previous CHD.25 Because atherosclerosis progresses over decades, intervention trials require long-term follow-up and a large number of participants. To assess modifiers of atherosclerotic disease progression such as statins or lifestyle, surrogate markers are often needed to investigate determinants of atherosclerosis. Validated surrogate markers enable the assessment of promising new drugs in a relatively short period of time, thus avoiding the need to await the outcome of trials driven by clinical events. If more
| Non-invasive evaluation of atherosclerosis by monitoring blood pressure or pulse |
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| Non-invasive evaluation of atherosclerosis by ultrasound monitoring atherosclerosis imaging |
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| Non-invasive evaluation of atherosclerosis preformed by monitoring magnetic resonance imaging (MRI) |
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| Non-invasive evaluation of atherosclerosis using computed tomography (CT) |
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| Conclusions |
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