Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 108

1.

Demonstration of the Glagov phenomenon in vivo by CT coronary angiography in subjects with elevated Framingham risk.

Rinehart S, Qian Z, Vazquez G, Joshi PH, Kirkland B, Bhatt K, Marvasty I, Christian K, Voros S.

Int J Cardiovasc Imaging. 2012 Aug;28(6):1589-99. doi: 10.1007/s10554-011-9979-y. Epub 2011 Nov 29.

PMID:
22124682
2.

Associations between the Framingham Risk Score and coronary plaque characteristics as assessed by three-vessel optical coherence tomography.

Vergallo R, Xing L, Minami Y, Soeda T, Ong DS, Gao L, Lee H, Guagliumi G, Biasucci LM, Crea F, Yu B, Uemura S, O'Donnell CJ, Jang IK.

Coron Artery Dis. 2016 Sep;27(6):460-6. doi: 10.1097/MCA.0000000000000383.

PMID:
27218146
3.

Relationship between carotid disease on ultrasound and coronary disease on CT angiography.

Cohen GI, Aboufakher R, Bess R, Frank J, Othman M, Doan D, Mesiha N, Rosman HS, Szpunar S.

JACC Cardiovasc Imaging. 2013 Nov;6(11):1160-7. doi: 10.1016/j.jcmg.2013.06.007.

4.

Validation of coronary computed tomography angiography scores for non-invasive assessment of atherosclerotic burden through a comparison with multivessel intravascular ultrasound.

Cavalcante R, Bittencourt MS, Pinheiro TL, Falcao BA, Morais GR, Soares P, Mariani J Jr, Ribeiro E, Kalil-Filho R, Rochitte CE, Lemos PA.

Atherosclerosis. 2016 Apr;247:21-7. doi: 10.1016/j.atherosclerosis.2016.01.040. Epub 2016 Jan 28.

PMID:
26854972
5.

Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events.

Tesche C, Plank F, De Cecco CN, Duguay TM, Albrecht MH, Varga-Szemes A, Bayer RR Nd, Yang J, Jacks IL, Gramer BM, Ebersberger U, Hoffmann E, Chiaramida SA, Feuchtner G, Schoepf UJ.

J Cardiovasc Comput Tomogr. 2016 Nov - Dec;10(6):458-465. doi: 10.1016/j.jcct.2016.08.003. Epub 2016 Aug 5.

PMID:
27522574
6.

Computed tomographic angiography-verified plaque characteristics and slow-flow phenomenon during percutaneous coronary intervention.

Kodama T, Kondo T, Oida A, Fujimoto S, Narula J.

JACC Cardiovasc Interv. 2012 Jun;5(6):636-43. doi: 10.1016/j.jcin.2012.02.016.

7.

Coronary calcium scoring from contrast coronary CT angiography using a semiautomated standardized method.

Schuhbaeck A, Otaki Y, Achenbach S, Schneider C, Slomka P, Berman DS, Dey D.

J Cardiovasc Comput Tomogr. 2015 Sep-Oct;9(5):446-53. doi: 10.1016/j.jcct.2015.06.001. Epub 2015 Jun 10.

PMID:
26169700
8.

Automatic detection and quantification of the Agatston coronary artery calcium score on contrast computed tomography angiography.

Ahmed W, de Graaf MA, Broersen A, Kitslaar PH, Oost E, Dijkstra J, Bax JJ, Reiber JH, Scholte AJ.

Int J Cardiovasc Imaging. 2015 Jan;31(1):151-61. doi: 10.1007/s10554-014-0519-4. Epub 2014 Aug 27.

PMID:
25159031
9.

Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology.

de Graaf MA, Broersen A, Kitslaar PH, Roos CJ, Dijkstra J, Lelieveldt BP, Jukema JW, Schalij MJ, Delgado V, Bax JJ, Reiber JH, Scholte AJ.

Int J Cardiovasc Imaging. 2013 Jun;29(5):1177-90. doi: 10.1007/s10554-013-0194-x. Epub 2013 Feb 16.

PMID:
23417447
10.

Incremental prognostic value of quantitative plaque assessment in coronary CT angiography during 5 years of follow up.

Nadjiri J, Hausleiter J, Jähnichen C, Will A, Hendrich E, Martinoff S, Hadamitzky M.

J Cardiovasc Comput Tomogr. 2016 Mar-Apr;10(2):97-104. doi: 10.1016/j.jcct.2016.01.007. Epub 2016 Jan 13.

PMID:
26837235
11.

Total coronary atherosclerotic plaque burden assessment by CT angiography for detecting obstructive coronary artery disease associated with myocardial perfusion abnormalities.

Kishi S, Magalhães TA, Cerci RJ, Matheson MB, Vavere A, Tanami Y, Kitslaar PH, George RT, Brinker J, Miller JM, Clouse ME, Lemos PA, Niinuma H, Reiber JH, Rochitte CE, Rybicki FJ, Di Carli MF, Cox C, Lima JA, Arbab-Zadeh A.

J Cardiovasc Comput Tomogr. 2016 Mar-Apr;10(2):121-7. doi: 10.1016/j.jcct.2016.01.005. Epub 2016 Jan 14.

12.

Reproducibility of coronary plaque detection and characterization using low radiation dose coronary computed tomographic angiography in patients with intermediate likelihood of coronary artery disease (ReSCAN study).

Øvrehus KA, Marwan M, Bøtker HE, Achenbach S, Nørgaard BL.

Int J Cardiovasc Imaging. 2012 Apr;28(4):889-99. doi: 10.1007/s10554-011-9895-1. Epub 2011 May 29.

PMID:
21626043
13.

Differential incremental value of ultrasound carotid intima-media thickness, carotid plaque, and cardiac calcium to predict angiographic coronary artery disease across Framingham risk score strata in the APRES multicentre study.

Gaibazzi N, Rigo F, Facchetti R, Carerj S, Giannattasio C, Moreo A, Mureddu GF, Salvetti M, Grolla E, Faden G, Cesana F, Faggiano P.

Eur Heart J Cardiovasc Imaging. 2016 Sep;17(9):991-1000. doi: 10.1093/ehjci/jev222. Epub 2015 Sep 10.

PMID:
26358694
14.

hs-Troponin I Followed by CT Angiography Improves Acute Coronary Syndrome Risk Stratification Accuracy and Work-Up in Acute Chest Pain Patients: Results From ROMICAT II Trial.

Ferencik M, Liu T, Mayrhofer T, Puchner SB, Lu MT, Maurovich-Horvat P, Pope JH, Truong QA, Udelson JE, Peacock WF, White CS, Woodard PK, Fleg JL, Nagurney JT, Januzzi JL, Hoffmann U.

JACC Cardiovasc Imaging. 2015 Nov;8(11):1272-1281. doi: 10.1016/j.jcmg.2015.06.016. Epub 2015 Oct 14.

15.

Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain--Results from the ROMICAT II trial.

Ferencik M, Mayrhofer T, Puchner SB, Lu MT, Maurovich-Horvat P, Liu T, Ghemigian K, Kitslaar P, Broersen A, Bamberg F, Truong QA, Schlett CL, Hoffmann U.

J Cardiovasc Comput Tomogr. 2015 Nov-Dec;9(6):538-45. doi: 10.1016/j.jcct.2015.07.003. Epub 2015 Jul 10.

16.

Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.

Otsuka K, Fukuda S, Tanaka A, Nakanishi K, Taguchi H, Yoshikawa J, Shimada K, Yoshiyama M.

JACC Cardiovasc Imaging. 2013 Apr;6(4):448-57. doi: 10.1016/j.jcmg.2012.09.016. Epub 2013 Mar 14.

17.

Patterns of coronary arterial lesion calcification by a novel, cross-sectional CT angiographic assessment.

Cerci R, Vavere AL, Miller JM, Yoneyama K, Rochitte CE, Dewey M, Niinuma H, Clouse ME, Laham R, Bush DE, Shapiro EP, Lardo AC, Cox C, Brinker J, Lima JA, Arbab-Zadeh A.

Int J Cardiovasc Imaging. 2013 Oct;29(7):1619-27. doi: 10.1007/s10554-013-0240-8. Epub 2013 May 24.

18.

Influence of the coronary calcium score on the ability to rule out coronary artery stenoses by coronary CT angiography in patients with suspected coronary artery disease.

Schuhbaeck A, Schmid J, Zimmer T, Muschiol G, Hell MM, Marwan M, Achenbach S.

J Cardiovasc Comput Tomogr. 2016 Sep-Oct;10(5):343-50. doi: 10.1016/j.jcct.2016.07.014. Epub 2016 Jul 17.

PMID:
27461528
19.

Additive value of semiautomated quantification of coronary artery disease using cardiac computed tomographic angiography to predict future acute coronary syndrome.

Versteylen MO, Kietselaer BL, Dagnelie PC, Joosen IA, Dedic A, Raaijmakers RH, Wildberger JE, Nieman K, Crijns HJ, Niessen WJ, Daemen MJ, Hofstra L.

J Am Coll Cardiol. 2013 Jun 4;61(22):2296-305. doi: 10.1016/j.jacc.2013.02.065. Epub 2013 Apr 3.

20.

Very small calcifications are detected and scored in the coronary arteries from small voxel MDCT images using a new automated/calibrated scoring method with statistical and patient specific plaque definitions.

Arnold BA, Xiang P, Budoff MJ, Mao SS.

Int J Cardiovasc Imaging. 2012 Jun;28(5):1193-204. doi: 10.1007/s10554-011-9914-2. Epub 2011 Jun 25.

PMID:
21706147

Supplemental Content

Support Center