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783 related items for PubMed ID: 26754621

  • 21. Optimizing image contrast display improves quantitative stenosis measurement in heavily calcified coronary arterial segments on coronary CT angiography: A proof-of-concept and comparison to quantitative invasive coronary angiography.
    Shmilovich H, Cheng VY, Dey D, Rajani R, Nakazato R, Otaki Y, Nakanishi R, Vashistha V, Min JK, Berman DS.
    Acad Radiol; 2014 Jun; 21(6):797-804. PubMed ID: 24809320
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  • 22. 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 Jun; 10(2):121-7. PubMed ID: 26817414
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  • 23. 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. PubMed ID: 23417447
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  • 24. Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis.
    Tesche C, De Cecco CN, Vliegenthart R, Duguay TM, Stubenrauch AC, Rosenberg RD, Varga-Szemes A, Bayer RR, Yang J, Ebersberger U, Baquet M, Jochheim D, Hoffmann E, Steinberg DH, Chiaramida SA, Schoepf UJ.
    J Cardiovasc Comput Tomogr; 2016 Jun; 10(5):377-83. PubMed ID: 27431607
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  • 25. In vitro validation of coronary CT angiography for the evaluation of complex lesions.
    Collet C, Onuma Y, Grundeken MJ, Miyazaki Y, Bittercourt M, Kitslaar P, Motoyama S, Ozaki Y, Asano T, Wentzel JJ, Streekstra GJ, Serruys PW, de Winter RJ, Planken RN.
    EuroIntervention; 2018 Feb 02; 13(15):e1823-e1830. PubMed ID: 28649954
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  • 26. Assessment of endothelial shear stress in patients with mild or intermediate coronary stenoses using coronary computed tomography angiography: comparison with invasive coronary angiography.
    Huang D, Muramatsu T, Li Y, Yang W, Nagahara Y, Chu M, Kitslaar P, Sarai M, Ozaki Y, Chatzizisis YS, Yan F, Reiber JHC, Wu R, Pu J, Tu S.
    Int J Cardiovasc Imaging; 2017 Jul 02; 33(7):1101-1110. PubMed ID: 27796815
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  • 27. Effect of a calcium deblooming algorithm on accuracy of coronary computed tomography angiography.
    Weir-McCall JR, Wang R, Halankar J, Hsieh J, Hague CJ, Rosenblatt S, Fan Z, Sellers SL, Murphy DT, Blanke P, Xu L, Leipsic JA.
    J Cardiovasc Comput Tomogr; 2020 Jul 02; 14(2):131-136. PubMed ID: 31378687
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  • 28. 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 Jul 02; 9(5):446-53. PubMed ID: 26169700
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  • 29. 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 Jul 02; 10(5):343-50. PubMed ID: 27461528
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  • 30. 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 02; 8(11):1272-1281. PubMed ID: 26476506
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  • 31. Risk classification of highly sensitive troponin I predict presence of vulnerable plaque assessed by dual source coronary computed tomography angiography.
    Liu T, Wang G, Li P, Dai X.
    Int J Cardiovasc Imaging; 2017 Nov 02; 33(11):1831-1839. PubMed ID: 28528430
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  • 32. Dual-Energy Computed Tomography Angiography of the Lower Extremity Runoff: Impact of Noise-Optimized Virtual Monochromatic Imaging on Image Quality and Diagnostic Accuracy.
    Wichmann JL, Gillott MR, De Cecco CN, Mangold S, Varga-Szemes A, Yamada R, Otani K, Canstein C, Fuller SR, Vogl TJ, Todoran TM, Schoepf UJ.
    Invest Radiol; 2016 Feb 02; 51(2):139-46. PubMed ID: 26561048
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  • 33. Accuracy of MDCT in assessing the degree of stenosis caused by calcified coronary artery plaques.
    Zhang S, Levin DC, Halpern EJ, Fischman D, Savage M, Walinsky P.
    AJR Am J Roentgenol; 2008 Dec 02; 191(6):1676-83. PubMed ID: 19020235
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  • 34. Intracoronary transluminal attenuation gradient in coronary CT angiography for determining coronary artery stenosis.
    Choi JH, Min JK, Labounty TM, Lin FY, Mendoza DD, Shin DH, Ariaratnam NS, Koduru S, Granada JF, Gerber TC, Oh JK, Gwon HC, Choe YH.
    JACC Cardiovasc Imaging; 2011 Nov 02; 4(11):1149-57. PubMed ID: 22093264
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  • 35. Association of serum total bilirubin levels with the severity, extent and subtypes of coronary atherosclerotic plaques detected by coronary CT angiography.
    Canpolat U, Aytemir K, Yorgun H, Hazırolan T, Kaya EB, Şahiner L, Sunman H, Tokgözoğlu L, Kabakcı G, Oto A.
    Int J Cardiovasc Imaging; 2013 Aug 02; 29(6):1371-9. PubMed ID: 23546648
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  • 36. Coronary computed tomography angiography derived risk score in predicting cardiac events.
    Uusitalo V, Kamperidis V, de Graaf MA, Maaniitty T, Stenström I, Broersen A, Dijkstra J, Scholte AJ, Saraste A, Bax JJ, Knuuti J.
    J Cardiovasc Comput Tomogr; 2017 Aug 02; 11(4):274-280. PubMed ID: 28476505
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  • 37. The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFRML) values.
    Li S, Chen C, Qin L, Gu S, Zhang H, Yan F, Yang W.
    Int J Cardiovasc Imaging; 2020 Jun 02; 36(6):1177-1185. PubMed ID: 32130576
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  • 38. 3D fusion of coronary CT angiography and CT myocardial perfusion imaging: Intuitive assessment of morphology and function.
    von Spiczak J, Manka R, Mannil M, Oebel S, Hamada S, Higashigaito K, Klotz E, Ruschitzka F, Alkadhi H.
    J Cardiovasc Comput Tomogr; 2017 Nov 02; 11(6):437-443. PubMed ID: 28916411
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  • 39. Influence of virtual monochromatic spectral image at different energy levels on motion artifact correction in dual-energy spectral coronary CT angiography.
    Jia Y, Zhai B, He T, Yu Y, Yu N, Duan H, Yang C, Zhang X.
    Jpn J Radiol; 2019 Sep 02; 37(9):636-641. PubMed ID: 31270660
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  • 40. Monoenergetic reconstructions for imaging of coronary artery stents using spectral detector CT: In-vitro experience and comparison to conventional images.
    Hickethier T, Baeßler B, Kroeger JR, Doerner J, Pahn G, Maintz D, Michels G, Bunck AC.
    J Cardiovasc Comput Tomogr; 2017 Sep 02; 11(1):33-39. PubMed ID: 28096049
    [Abstract] [Full Text] [Related]

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