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Journal Abstract Search

304 related items for PubMed ID: 29330042

  • 1. Differences in the CT findings between vulnerable plaque and culprit lesions in acute coronary syndrome.
    Chun EJ, Han JH, Yoo SM, Lee HY, Song IS, White CS.
    J Cardiovasc Comput Tomogr; 2018; 12(2):115-117. PubMed ID: 29330042
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  • 2. Differences in the association of total versus local coronary artery calcium with acute coronary syndrome and culprit lesions in patients with acute chest pain: The coronary calcium paradox.
    Puchner SB, Mayrhofer T, Park J, Lu MT, Liu T, Maurovich-Horvat P, Ghemigian K, Bittner DO, Fleg JL, Udelson JE, Truong QA, Hoffmann U, Ferencik M.
    Atherosclerosis; 2018 Jul; 274():251-257. PubMed ID: 29703635
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  • 6. Plaque Morphology as Predictor of Late Plaque Events in Patients With Asymptomatic Type 2 Diabetes: A Long-Term Observational Study.
    Halon DA, Lavi I, Barnett-Griness O, Rubinshtein R, Zafrir B, Azencot M, Lewis BS.
    JACC Cardiovasc Imaging; 2019 Jul; 12(7 Pt 2):1353-1363. PubMed ID: 29778864
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  • 7. Perivascular fat attenuation index and high-risk plaque features evaluated by coronary CT angiography: relationship with serum inflammatory marker level.
    Dai X, Deng J, Yu M, Lu Z, Shen C, Zhang J.
    Int J Cardiovasc Imaging; 2020 Apr; 36(4):723-730. PubMed ID: 31907683
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  • 8. Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.
    Koo BK, Yang S, Jung JW, Zhang J, Lee K, Hwang D, Lee KS, Doh JH, Nam CW, Kim TH, Shin ES, Chun EJ, Choi SY, Kim HK, Hong YJ, Park HJ, Kim SY, Husic M, Lambrechtsen J, Jensen JM, Nørgaard BL, Andreini D, Maurovich-Horvat P, Merkely B, Penicka M, de Bruyne B, Ihdayhid A, Ko B, Tzimas G, Leipsic J, Sanz J, Rabbat MG, Katchi F, Shah M, Tanaka N, Nakazato R, Asano T, Terashima M, Takashima H, Amano T, Sobue Y, Matsuo H, Otake H, Kubo T, Takahata M, Akasaka T, Kido T, Mochizuki T, Yokoi H, Okonogi T, Kawasaki T, Nakao K, Sakamoto T, Yonetsu T, Kakuta T, Yamauchi Y, Bax JJ, Shaw LJ, Stone PH, Narula J.
    JACC Cardiovasc Imaging; 2024 Sep; 17(9):1062-1076. PubMed ID: 38752951
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  • 9. Association of nonculprit plaque characteristics with transient slow flow phenomenon during percutaneous coronary intervention.
    Miura K, Kato M, Dote K, Kagawa E, Nakano Y, Oda N, Sasaki S.
    Int J Cardiol; 2015 Feb 15; 181():108-13. PubMed ID: 25497531
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  • 11. 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 15; 34(2):311-319. PubMed ID: 28803421
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  • 12. 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 15; 10(2):97-104. PubMed ID: 26837235
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  • 14. Vulnerable plaque features on coronary CT angiography as markers of inducible regional myocardial hypoperfusion from severe coronary artery stenoses.
    Shmilovich H, Cheng VY, Tamarappoo BK, Dey D, Nakazato R, Gransar H, Thomson LE, Hayes SW, Friedman JD, Germano G, Slomka PJ, Berman DS.
    Atherosclerosis; 2011 Dec 15; 219(2):588-95. PubMed ID: 21862017
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  • 15. 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 15; 8(11):1272-1281. PubMed ID: 26476506
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  • 16. Morphological characteristics of culprit coronary lesions according to clinical presentation: insights from a multimodality imaging approach.
    Hernando L, Corros C, Gonzalo N, Hernández-Antolin R, Bañuelos C, Jiménez-Quevedo P, Bernardo E, Fernández-Ortiz A, Escaned J, Macaya C, Alfonso F.
    Int J Cardiovasc Imaging; 2013 Jan 15; 29(1):13-21. PubMed ID: 22527256
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  • 17. Coronary CT angiographic characteristics of culprit lesions in acute coronary syndromes not related to plaque rupture as defined by optical coherence tomography and angioscopy.
    Ozaki Y, Okumura M, Ismail TF, Motoyama S, Naruse H, Hattori K, Kawai H, Sarai M, Takagi Y, Ishii J, Anno H, Virmani R, Serruys PW, Narula J.
    Eur Heart J; 2011 Nov 15; 32(22):2814-23. PubMed ID: 21719455
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  • 18. 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 Nov 15; 10(6):458-465. PubMed ID: 27522574
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  • 19. Distribution, frequency and clinical implications of napkin-ring sign assessed by multidetector computed tomography.
    Kashiwagi M, Tanaka A, Shimada K, Kitabata H, Komukai K, Nishiguchi T, Ozaki Y, Tanimoto T, Kubo T, Hirata K, Mizukoshi M, Akasaka T.
    J Cardiol; 2013 Jun 15; 61(6):399-403. PubMed ID: 23452399
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  • 20. Association between cholesterol crystals and culprit lesion vulnerability in patients with acute coronary syndrome: An optical coherence tomography study.
    Dai J, Tian J, Hou J, Xing L, Liu S, Ma L, Yu H, Ren X, Dong N, Yu B.
    Atherosclerosis; 2016 Apr 15; 247():111-7. PubMed ID: 26897259
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