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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1921 1
1952 1
1964 1
1995 1
1999 1
2003 1
2004 1
2006 2
2007 4
2008 8
2009 7
2010 6
2011 15
2012 25
2013 21
2014 35
2015 26
2016 19
2017 16
2018 11
2019 10
2020 19
2021 3
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Similar articles for PMID: 22312037

195 results
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Epicardial adipose tissue volume as a predictor for coronary artery disease in diabetic, impaired fasting glucose, and non-diabetic patients presenting with chest pain.
Versteylen MO, Takx RA, Joosen IA, Nelemans PJ, Das M, Crijns HJ, Hofstra L, Leiner T. Versteylen MO, et al. Eur Heart J Cardiovasc Imaging. 2012 Jun;13(6):517-23. doi: 10.1093/ehjci/jes024. Epub 2012 Feb 5. Eur Heart J Cardiovasc Imaging. 2012. PMID: 22312037
Relationship between coronary artery disease and epicardial adipose tissue quantification at cardiac CT: comparison between automatic volumetric measurement and manual bidimensional estimation.
Bastarrika G, Broncano J, Schoepf UJ, Schwarz F, Lee YS, Abro JA, Costello P, Zwerner PL. Bastarrika G, et al. Acad Radiol. 2010 Jun;17(6):727-34. doi: 10.1016/j.acra.2010.01.015. Epub 2010 Apr 3. Acad Radiol. 2010. PMID: 20363161
Epicardial adipose tissue thickness as a predictor of impaired microvascular function in patients with non-obstructive coronary artery disease.
Alam MS, Green R, de Kemp R, Beanlands RS, Chow BJ. Alam MS, et al. J Nucl Cardiol. 2013 Oct;20(5):804-12. doi: 10.1007/s12350-013-9739-6. Epub 2013 Jun 8. J Nucl Cardiol. 2013. PMID: 23749262
Epicardial adipose tissue thickness correlates with the presence and severity of angiographic coronary artery disease in stable patients with chest pain.
Picard FA, Gueret P, Laissy JP, Champagne S, Leclercq F, Carrié D, Juliard JM, Henry P, Niarra R, Chatellier G, Steg PG. Picard FA, et al. PLoS One. 2014 Oct 21;9(10):e110005. doi: 10.1371/journal.pone.0110005. eCollection 2014. PLoS One. 2014. PMID: 25335187 Free PMC article.
Incremental diagnostic value of epicardial adipose tissue for the detection of functionally relevant coronary artery disease.
Romijn MA, Danad I, Bakkum MJ, Stuijfzand WJ, Tulevski II, Somsen GA, Lammertsma AA, van Kuijk C, van de Ven PM, Min JK, Leipsic J, van Rossum AC, Raijmakers PG, Knaapen P. Romijn MA, et al. Atherosclerosis. 2015 Sep;242(1):161-6. doi: 10.1016/j.atherosclerosis.2015.07.005. Epub 2015 Jul 7. Atherosclerosis. 2015. PMID: 26188540
Diagnostic role of coronary calcium scoring in the rapid access chest pain clinic: prospective evaluation of NICE guidance.
Yerramasu A, Lahiri A, Venuraju S, Dumo A, Lipkin D, Underwood SR, Rakhit RD, Patel DJ. Yerramasu A, et al. Eur Heart J Cardiovasc Imaging. 2014 Aug;15(8):886-92. doi: 10.1093/ehjci/jeu011. Epub 2014 Feb 9. Eur Heart J Cardiovasc Imaging. 2014. PMID: 24513880
Epicardial adipose tissue volume as a marker of coronary artery disease severity in patients with diabetes independent of coronary artery calcium: findings from the CTRAD study.
Mohar DS, Salcedo J, Hoang KC, Kumar S, Saremi F, Erande AS, Naderi N, Nadeswaran P, Le C, Malik S. Mohar DS, et al. Diabetes Res Clin Pract. 2014 Nov;106(2):228-35. doi: 10.1016/j.diabres.2014.08.021. Epub 2014 Sep 6. Diabetes Res Clin Pract. 2014. PMID: 25262111 Free PMC article. Clinical Trial.
The relationship between location-specific epicardial adipose tissue volume and coronary atherosclerotic plaque burden in type 2 diabetic patients.
Uygur B, Celik O, Ozturk D, Erturk M, Otcu H, Ustabasıoglu FE, Yıldırım A. Uygur B, et al. Kardiol Pol. 2017;75(3):204-212. doi: 10.5603/KP.a2016.0167. Epub 2016 Dec 13. Kardiol Pol. 2017. PMID: 27958614 Free article.
High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial.
Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, Nagurney JT, Udelson JE, Hoffmann U, Ferencik M. Puchner SB, et al. J Am Coll Cardiol. 2014 Aug 19;64(7):684-92. doi: 10.1016/j.jacc.2014.05.039. J Am Coll Cardiol. 2014. PMID: 25125300 Free PMC article. Clinical Trial.
Feasibility of an automatic computer-assisted algorithm for the detection of significant coronary artery disease in patients presenting with acute chest pain.
Kang KW, Chang HJ, Shim H, Kim YJ, Choi BW, Yang WI, Shim JY, Ha J, Chung N. Kang KW, et al. Eur J Radiol. 2012 Apr;81(4):e640-6. doi: 10.1016/j.ejrad.2012.01.017. Epub 2012 Feb 2. Eur J Radiol. 2012. PMID: 22304980
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