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33 - Monitoring of pharmaceutical interventions: MR plaque imaging

from Monitoring pharmaceutical interventions

Published online by Cambridge University Press:  03 December 2009

Thomas Hatsukami
Affiliation:
University of Washington, Seattle WA, USA
Jonathan Gillard
Affiliation:
University of Cambridge
Martin Graves
Affiliation:
University of Cambridge
Thomas Hatsukami
Affiliation:
University of Washington
Chun Yuan
Affiliation:
University of Washington
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Summary

Cardiovascular disease is the leading cause of death worldwide (World Health Organization, 2004). The majority of cardiovascular disease complications are atherosclerosis related (Lusis, 2000), and the discovery of novel forms of treatment for atherosclerosis has been a top priority for the pharmaceutical and biotechnology industry. However, the process of assessing clinical efficacy is associated with extraordinary cost, in that trials utilizing clinical endpoints, such as myocardial infarction, stroke, or cardiovascular death, require large study populations followed for many years. Reliable imaging biomarkers of atherosclerosis would potentially yield significant benefits in terms of efficiency and cost-savings in the development of new compounds.

Background and definitions

In 2001, the National Institutes of Health convened an expert working group to provide standardized terminology with regard to biomarkers in clinical trials (2001). The panel defined biological marker (biomarker) as a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. A clinical endpoint is a characteristic or variable that reflects how a patient feels, functions, or survives. A surrogate endpoint is a biomarker that is intended to substitute for a clinical endpoint. A surrogate endpoint is expected to predict clinical benefit (or harm or lack of benefit or harm) based on epidemiologic, therapeutic, pathophysiologic, or other scientific evidence. Therefore, surrogate endpoints are a subset of the biomarker class, and not all biomarkers fulfill the criteria to be considered a surrogate endpoint.

Type
Chapter
Information
Carotid Disease
The Role of Imaging in Diagnosis and Management
, pp. 464 - 470
Publisher: Cambridge University Press
Print publication year: 2006

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References

Biomarkers Definitions Working Group. (2001). Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clinical Pharmacology and Therapeutics, 69, 89–95.CrossRef
Cai, J. M., Hatsukami, T. S., Ferguson, M. S., et al. (2005). In vivo quantitative measurement of intact fibrous cap and lipid rich necrotic core size in atherosclerotic carotid plaque: a comparison of high resolution contrast enhanced Magnetic resonance imaging and histology. Circulation, 112, 3437–44.CrossRefGoogle ScholarPubMed
Cai, J. M., Hatsukami, T. S., Ferguson, M. S., et al. (2002). Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging. Circulation, 106, 1368–73.CrossRefGoogle ScholarPubMed
Chu, B., Zhao, X. Q., Saam, T., et al. (2005). Feasibility of in vivo, multicontrast-weighted Magnetic resonance imaging of carotid atherosclerosis for multicenter studies. Journal of Magnetic Resonance Imaging, 21, 809–17.CrossRefGoogle ScholarPubMed
Corti, R., Fayad, Z. A., Fuster, V., et al. (2001). Effects of lipid-lowering by simvastatin on human atherosclerotic lesions: a longitudinal study by high-resolution, noninvasive magnetic resonance imaging. Circulation, 104, 249–52.CrossRefGoogle ScholarPubMed
Corti, R., Fuster, V., Fayad, Z. A., et al. (2005). Effects of aggressive versus conventional lipid-lowering therapy by simvastatin on human atherosclerotic lesions a prospective, randomized, double-blind trial with high-resolution magnetic resonance imaging. Journal of American College of Cardiology, 46, 106–12.CrossRefGoogle ScholarPubMed
Corti, R., Fuster, V., Fayad, Z. A., et al. (2002). Lipid lowering by simvastatin induces regression of human atherosclerotic lesions: two years' follow-up by high-resolution noninvasive magnetic resonance imaging. Circulation, 106, 2884–7.CrossRefGoogle ScholarPubMed
Hatsukami, T., Zhao, X. Q., Kraiss, L. W., et al. (2005). Assessment of rosuvastatin treatment on carotid atherosclerosis in moderately hypercholesterolemic subjects using high-resolution magnetic resonance imaging. European Heart Journal, 26 (abstract Suppl.), 626.Google Scholar
Hatsukami, T. S., Ross, R., Polissar, N. L. and Yuan, C. (2000). Visualization of fibrous cap thickness and rupture in human atherosclerotic carotid plaque in vivo with high-resolution magnetic resonance imaging. Circulation, 102, 959–64.CrossRefGoogle ScholarPubMed
Kang, X., Polissar, N. L., Han, C., Lin, E. and Yuan, C. (2000). Analysis of the measurement precision of arterial lumen and wall areas using high-resolution Magnetic resonance imaging in Process Citation. Magnetic Resonance in Medicine, 44, 968–72.3.0.CO;2-I>CrossRefGoogle Scholar
Kerwin, W., Hooker, A., Spilker, M., et al. (2003). Quantitative magnetic resonance imaging analysis of neovasculature volume in carotid atherosclerotic plaque. Circulation, 107, 851–6.CrossRefGoogle ScholarPubMed
Kerwin, W., O'Brien, K. D., Ferguson, M. S., et al. (2005). Inflammation in carotid atherosclerotic plaque: A dynamic contrast-enhanced Magnetic resonance imaging study. Radiology, in press.Google Scholar
Lima, J. A., Desai, M. Y., Steen, H., et al. (2004). Statin-induced cholesterol lowering and plaque regression after 6 months of magnetic resonance imaging-monitored therapy. Circulation, 110, 2336–41.CrossRefGoogle ScholarPubMed
Lusis, A. J. (2000). Atherosclerosis. Nature, 407, 233–41.CrossRefGoogle ScholarPubMed
Mitsumori, L. M., Hatsukami, T. S., Ferguson, M. S., et al. (2003). In vivo accuracy of multisequence Magnetic resonance imaging for identifying unstable fibrous caps in advanced human carotid plaques. Journal of Magnetic Resonance Imaging, 17, 410–20.CrossRefGoogle ScholarPubMed
Saam, T., Ferguson, M. S., Yarnykh, V. L., et al. (2005). Quantitative evaluation of carotid plaque composition by in vivo Magnetic resonance imaging. Arteriosclerosis, Thrombosis and Vascular Biology, 25, 234–9.Google Scholar
Toussaint, J. F., Lamuraglia, G. M., Southern, J. F., Fuster, V. and Kantor, H. L. (1996). Magnetic resonance images lipid, fibrous, calcified, hemorrhagic, and thrombotic components of human atherosclerosis in vivo. Circulation, 94, 932–8.CrossRefGoogle ScholarPubMed
Trivedi, R. A., U-King-Im, J M., Graves, M. J., Horsley, J., et al. (2004). Multi-sequence in vivo Magnetic resonance imaging can quantify fibrous cap and lipid core components in human carotid atherosclerotic plaques. European Journal of Vascular and Endovascular Surgery, 28, 207–13.CrossRefGoogle ScholarPubMed
World Health Organization. (2004). World Health Report 2004. Retrieved 2004, from http://www.who.int/whr/2004/en/index.html
Yonemura, A., Momiyama, Y., Fayad, Z. A., et al. (2005). Effect of lipid-lowering therapy with atorvastatin on atherosclerotic aortic plaques detected by noninvasive magnetic resonance imaging. Journal of the American College of Cardiology, 45, 733–42.CrossRefGoogle ScholarPubMed
Yuan, C., Beach, K. W., Smith, L. H. and Hatsukami, T. S. (1998). Measurement of atherosclerotic carotid plaque size in-vivo using high resolution magnetic resonance imaging. Circulation, 98, 2666–71.CrossRefGoogle ScholarPubMed
Zhao, X. Q., Yuan, C., Hatsukami, T. S., et al. (2001). Effects of prolonged intensive lipid-lowering therapy on the characteristics of carotid atherosclerotic plaques in vivo by Magnetic resonance imaging: a case-control study. Arteriosclerosis, Thrombosis and Vascular Biology, 21, 1623–9.CrossRefGoogle ScholarPubMed

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