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221 related items for PubMed ID: 27865195

  • 1. A clinical model to identify patients with high-risk plaque by coronary computed tomography angiography.
    Tomizawa N, Yamamoto K, Hayakawa Y, Inoh S, Nojo T, Nakamura S.
    Int J Cardiol; 2017 Feb 01; 228():260-264. PubMed ID: 27865195
    [Abstract] [Full Text] [Related]

  • 2. 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, Yang J, Jacks IL, Gramer BM, Ebersberger U, Hoffmann E, Chiaramida SA, Feuchtner G, Schoepf UJ.
    J Cardiovasc Comput Tomogr; 2016 Feb 01; 10(6):458-465. PubMed ID: 27522574
    [Abstract] [Full Text] [Related]

  • 3. 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 Feb 01; 10(2):97-104. PubMed ID: 26837235
    [Abstract] [Full Text] [Related]

  • 4. Evaluation of coronary plaque characteristics with coronary computed tomography angiography in patients with non-obstructive coronary artery disease: a long-term follow-up study.
    Conte E, Annoni A, Pontone G, Mushtaq S, Guglielmo M, Baggiano A, Volpato V, Agalbato C, Bonomi A, Veglia F, Formenti A, Fiorentini C, Bartorelli AL, Pepi M, Andreini D.
    Eur Heart J Cardiovasc Imaging; 2017 Oct 01; 18(10):1170-1178. PubMed ID: 27679600
    [Abstract] [Full Text] [Related]

  • 5. Relationship of hepatic steatosis severity and coronary artery disease characteristics assessed by coronary CT angiography.
    Tomizawa N, Inoh S, Nojo T, Nakamura S.
    Int J Cardiovasc Imaging; 2016 Jun 01; 32 Suppl 1():73-82. PubMed ID: 26831056
    [Abstract] [Full Text] [Related]

  • 6. Quantitative coronary plaque analysis predicts high-risk plaque morphology on coronary computed tomography angiography: results from the ROMICAT II trial.
    Liu T, Maurovich-Horvat P, Mayrhofer T, Puchner SB, Lu MT, Ghemigian K, Kitslaar PH, Broersen A, Pursnani A, Hoffmann U, Ferencik M.
    Int J Cardiovasc Imaging; 2018 Feb 01; 34(2):311-319. PubMed ID: 28803421
    [Abstract] [Full Text] [Related]

  • 7. Measurement of epicardial fat thickness by transthoracic echocardiography for predicting high-risk coronary artery plaques.
    Tachibana M, Miyoshi T, Osawa K, Toh N, Oe H, Nakamura K, Naito T, Sato S, Kanazawa S, Ito H.
    Heart Vessels; 2016 Nov 01; 31(11):1758-1766. PubMed ID: 26833041
    [Abstract] [Full Text] [Related]

  • 8. 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 01; 6(4):448-57. PubMed ID: 23498679
    [Abstract] [Full Text] [Related]

  • 9. Accuracy of computed tomography angiography to identify thin-cap fibroatheroma detected by optical coherence tomography.
    Tomizawa N, Yamamoto K, Inoh S, Nojo T, Nakamura S.
    J Cardiovasc Comput Tomogr; 2017 Apr 01; 11(2):129-134. PubMed ID: 28214139
    [Abstract] [Full Text] [Related]

  • 10. Predict value of adiponectin for coronary atherosclerosis plaques according to computed tomography angiography in an asymptomatic population.
    Gan L, Yang L, Yan G.
    Clin Imaging; 2018 Apr 01; 51():174-179. PubMed ID: 29859480
    [Abstract] [Full Text] [Related]

  • 11. The napkin-ring sign indicates advanced atherosclerotic lesions in coronary CT angiography.
    Maurovich-Horvat P, Schlett CL, Alkadhi H, Nakano M, Otsuka F, Stolzmann P, Scheffel H, Ferencik M, Kriegel MF, Seifarth H, Virmani R, Hoffmann U.
    JACC Cardiovasc Imaging; 2012 Dec 01; 5(12):1243-52. PubMed ID: 23236975
    [Abstract] [Full Text] [Related]

  • 12. Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.
    Goeller M, Tamarappoo BK, Kwan AC, Cadet S, Commandeur F, Razipour A, Slomka PJ, Gransar H, Chen X, Otaki Y, Friedman JD, Cao JJ, Albrecht MH, Bittner DO, Marwan M, Achenbach S, Berman DS, Dey D.
    Eur Heart J Cardiovasc Imaging; 2019 Jun 01; 20(6):636-643. PubMed ID: 30789223
    [Abstract] [Full Text] [Related]

  • 13. Coronary plaque characteristics in computed tomography and 2-year outcomes: The PREDICT study.
    Yamamoto H, Kihara Y, Kitagawa T, Ohashi N, Kunita E, Iwanaga Y, Kobuke K, Miyazaki S, Kawasaki T, Fujimoto S, Daida H, Fujii T, Sato A, Okimoto T, Kuribayashi S, PREDICT Investigators.
    J Cardiovasc Comput Tomogr; 2018 Jun 01; 12(5):436-443. PubMed ID: 30017608
    [Abstract] [Full Text] [Related]

  • 14. Association of Serum Lipid Profile With Coronary Computed Tomographic Angiography-derived Morphologic and Functional Quantitative Plaque Markers.
    Baumann S, Kryeziu P, Tesche C, Shuler DC, Becher T, Rutsch M, Behnes M, Stach K, Jacobs BE, Renker M, Henzler T, Haubenreisser H, Schoenberg SO, Weiss C, Borggrefe M, Schwemmer C, Schoepf UJ, Akin I, Lossnitzer D.
    J Thorac Imaging; 2019 Jan 01; 34(1):26-32. PubMed ID: 30142137
    [Abstract] [Full Text] [Related]

  • 15. The high-risk criteria low-attenuation plaque <60 HU and the napkin-ring sign are the most powerful predictors of MACE: a long-term follow-up study.
    Feuchtner G, Kerber J, Burghard P, Dichtl W, Friedrich G, Bonaros N, Plank F.
    Eur Heart J Cardiovasc Imaging; 2017 Jul 01; 18(7):772-779. PubMed ID: 27502292
    [Abstract] [Full Text] [Related]

  • 16. High-risk Plaque and Calcification Detected by Coronary CT Angiography to Predict Future Cardiovascular Events After Percutaneous Coronary Intervention.
    Tomizawa N, Yamamoto K, Inoh S, Nojo T, Nakamura S.
    Acad Radiol; 2018 Apr 01; 25(4):486-493. PubMed ID: 29195787
    [Abstract] [Full Text] [Related]

  • 17. Epicardial adipose tissue is associated with high-risk plaque feature progression in non-culprit lesions.
    Tan Y, Zhou J, Zhou Y, Yang X, Wang J, Chen Y.
    Int J Cardiovasc Imaging; 2017 Dec 01; 33(12):2029-2037. PubMed ID: 28550587
    [Abstract] [Full Text] [Related]

  • 18. Coronary plaque characteristics on baseline CT predict the need for late revascularization in symptomatic patients after percutaneous intervention.
    Yu M, Lu Z, Li W, Wei M, Yan J, Zhang J.
    Eur Radiol; 2018 Aug 01; 28(8):3441-3453. PubMed ID: 29450719
    [Abstract] [Full Text] [Related]

  • 19. 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 Aug 01; 10(2):121-7. PubMed ID: 26817414
    [Abstract] [Full Text] [Related]

  • 20. 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 01; 5(6):636-43. PubMed ID: 22721658
    [Abstract] [Full Text] [Related]

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