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Annals of Medicine Volume 38, 2006 - Issue 5
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REVIEW ARTICLE

Characterization and molecular detection of atherothrombosis by magnetic resonance—potential tools for individual risk assessment and diagnostics

Mika Ala‐Korpela Laboratory of Computational Engineering, Systems Biology and Bioinformation Technology, Helsinki University of Technology, Finland
,
Petri Sipola Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
&
Kimmo Kaski Laboratory of Computational Engineering, Systems Biology and Bioinformation Technology, Helsinki University of Technology, Finland
Pages 322-336 | Published online: 08 Jul 2009

Citations (14)

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Read on this site (3)

Gastón A Rodriguez Granillo. (2009) Non-invasive assessment of vulnerable plaque. Expert Opinion on Medical Diagnostics 3:1, pages 53-66.
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Mika Ala-Korpela. (2007) Potential role of body fluid 1H NMR metabonomics as a prognostic and diagnostic tool. Expert Review of Molecular Diagnostics 7:6, pages 761-773.
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Felicia Antohe. (2006) Endothelial cells and macrophages, partners in atherosclerotic plaque progression. Archives of Physiology and Biochemistry 112:4-5, pages 245-253.
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Articles from other publishers (11)

Imo E. Hoefer, Sabine Steffens, Mika Ala-Korpela, Magnus Bäck, Lina Badimon, Marie-Luce Bochaton-Piallat, Chantal M. Boulanger, Giuseppina Caligiuri, Stefanie Dimmeler, Jesus Egido, Paul C. Evans, Tomasz Guzik, Brenda R. Kwak, Ulf Landmesser, Manuel Mayr, Claudia Monaco, Gerard Pasterkamp, Jose Tuñón & Christian Weber. (2015) Novel methodologies for biomarker discovery in atherosclerosis. European Heart Journal 36:39, pages 2635-2642.
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Pasi SoininenAntti J. KangasPeter WürtzTeemu SunaMika Ala-Korpela. (2015) Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Cardiovascular Epidemiology and Genetics. Circulation: Cardiovascular Genetics 8:1, pages 192-206.
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Wei Chen, David P. Cormode, Zahi A. Fayad & Willem J. M. Mulder. (2011) Nanoparticles as magnetic resonance imaging contrast agents for vascular and cardiac diseases. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology 3:2, pages 146-161.
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Susan C. Connor, Michael K. Hansen, Adam Corner, Randall F. Smith & Terence E. Ryan. (2010) Integration of metabolomics and transcriptomics data to aid biomarker discovery in type 2 diabetes. Molecular BioSystems 6:5, pages 909.
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Shelton D. CaruthersTillmann CyrusPatrick M. WinterSamuel A. WicklineGregory M. Lanza. (2009) Anti‐angiogenic perfluorocarbon nanoparticles for diagnosis and treatment of atherosclerosis. WIREs Nanomedicine and Nanobiotechnology 1:3, pages 311-323.
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Pasi Soininen, Antti J. Kangas, Peter Würtz, Taru Tukiainen, Tuulia Tynkkynen, Reino Laatikainen, Marjo-Riitta Järvelin, Mika Kähönen, Terho Lehtimäki, Jorma Viikari, Olli T. Raitakari, Markku J. Savolainen & Mika Ala-Korpela. (2009) High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. The Analyst 134:9, pages 1781.
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Ville-Petteri Mäkinen, Carol Forsblom, Lena M. Thorn, Johan Wadén, Daniel Gordin, Outi Heikkilä, Kustaa Hietala, Laura Kyllönen, Janne Kytö, Milla Rosengård-Bärlund, Markku Saraheimo, Nina Tolonen, Maija Parkkonen, Kimmo Kaski, Mika Ala-Korpela & Per-Henrik Groop. (2008) Metabolic Phenotypes, Vascular Complications, and Premature Deaths in a Population of 4,197 Patients With Type 1 Diabetes. Diabetes 57:9, pages 2480-2487.
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Mika Ala-Korpela. (2008) Critical evaluation of 1H NMR metabonomics of serum as a methodology for disease risk assessment and diagnostics. Clinical Chemistry and Laboratory Medicine 46:1.
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Ville‐Petteri Mäkinen, Pasi Soininen, Carol Forsblom, Maija Parkkonen, Petri Ingman, Kimmo Kaski, Per‐Henrik Groop & Mika Ala‐Korpela. (2008) 1 H NMR metabonomics approach to the disease continuum of diabetic complications and premature death . Molecular Systems Biology 4:1.
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Teemu Suna, Aino Salminen, Pasi Soininen, Reino Laatikainen, Petri Ingman, Sanna Mäkelä, Markku J. Savolainen, Minna L. Hannuksela, Matti Jauhiainen, Marja-Riitta Taskinen, Kimmo Kaski & Mika Ala-Korpela. (2007) 1 H NMR metabonomics of plasma lipoprotein subclasses: elucidation of metabolic clustering by self-organising maps . NMR in Biomedicine 20:7, pages 658-672.
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Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soininen, Petri Ingman, Sanna M Mäkelä, Markku J Savolainen, Minna L Hannuksela, Kimmo Kaski & Mika Ala-Korpela. (2007) A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data. BMC Bioinformatics 8:S2.
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