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783 related items for PubMed ID: 26754621

  • 1. Impact of monochromatic coronary computed tomography angiography from single-source dual-energy CT on coronary stenosis quantification.
    Stehli J, Clerc OF, Fuchs TA, Possner M, Gräni C, Benz DC, Buechel RR, Kaufmann PA.
    J Cardiovasc Comput Tomogr; 2016; 10(2):135-40. PubMed ID: 26754621
    [Abstract] [Full Text] [Related]

  • 2. Optimized energy of spectral coronary CT angiography for coronary plaque detection and quantification.
    Symons R, Choi Y, Cork TE, Ahlman MA, Mallek M, Bluemke DA, Sandfort V.
    J Cardiovasc Comput Tomogr; 2018; 12(2):108-114. PubMed ID: 29397334
    [Abstract] [Full Text] [Related]

  • 3. First experience with single-source, dual-energy CCTA for monochromatic stent imaging.
    Stehli J, Fuchs TA, Singer A, Bull S, Clerc OF, Possner M, Gaemperli O, Buechel RR, Kaufmann PA.
    Eur Heart J Cardiovasc Imaging; 2015 May; 16(5):507-12. PubMed ID: 25525062
    [Abstract] [Full Text] [Related]

  • 4. Calcification remodeling index assessed by cardiac CT predicts severe coronary stenosis in lesions with moderate to severe calcification.
    Yu M, Li Y, Li W, Lu Z, Wei M, Zhang J.
    J Cardiovasc Comput Tomogr; 2018 May; 12(1):42-49. PubMed ID: 28988831
    [Abstract] [Full Text] [Related]

  • 5. 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. PubMed ID: 23702949
    [Abstract] [Full Text] [Related]

  • 6. Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm.
    Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG, Dijkshoorn ML, van Geuns RJ, Schoebinger M, Itu L, Sharma P, Nieman K.
    J Cardiovasc Comput Tomogr; 2016 Oct; 10(2):105-13. PubMed ID: 26747231
    [Abstract] [Full Text] [Related]

  • 7. Performance of an Artificial Intelligence-based Application for the Detection of Plaque-based Stenosis on Monoenergetic Coronary CT Angiography: Validation by Invasive Coronary Angiography.
    Yi Y, Xu C, Guo N, Sun J, Lu X, Yu S, Wang Y, Vembar M, Jin Z, Wang Y.
    Acad Radiol; 2022 Apr; 29 Suppl 4():S49-S58. PubMed ID: 34895831
    [Abstract] [Full Text] [Related]

  • 8. Difference of coronary stenosis severity between systolic and diastolic phases in quantitative CT angiography.
    Gu H, Gao Y, Wang H, Li Z, Xu L, Xu B, Wang X, Lu B.
    J Cardiovasc Comput Tomogr; 2017 Apr; 11(2):105-110. PubMed ID: 28126251
    [Abstract] [Full Text] [Related]

  • 9. Relative atherosclerotic plaque volume by CT coronary angiography trumps conventional stenosis assessment for identifying flow-limiting lesions.
    Kato N, Kishi S, Arbab-Zadeh A, Rybicki FJ, Tanimoto S, Aoki J, Watanabe M, Horiuchi Y, Furui K, Hara K, Ibukuro K, Lima JAC, Tanabe K.
    Int J Cardiovasc Imaging; 2017 Nov; 33(11):1847-1855. PubMed ID: 28597124
    [Abstract] [Full Text] [Related]

  • 10. Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve.
    Taylor CA, Gaur S, Leipsic J, Achenbach S, Berman DS, Jensen JM, Dey D, Bøtker HE, Kim HJ, Khem S, Wilk A, Zarins CK, Bezerra H, Lesser J, Ko B, Narula J, Ahmadi A, Øvrehus KA, St Goar F, De Bruyne B, Nørgaard BL.
    J Cardiovasc Comput Tomogr; 2017 Nov; 11(6):429-436. PubMed ID: 28789941
    [Abstract] [Full Text] [Related]

  • 11. Photon-Counting Detector CT Virtual Monoenergetic Images for Coronary Artery Stenosis Quantification: Phantom and In Vivo Evaluation.
    Wolf EV, Halfmann MC, Varga-Szemes A, Fink N, Kloeckner R, Bockius S, Allmendinger T, Hagenauer J, Koehler T, Kreitner KF, Schoepf UJ, Münzel T, Düber C, Gori T, Yang Y, Hell MM, Emrich T.
    AJR Am J Roentgenol; 2024 Mar; 222(3):e2330481. PubMed ID: 38197760
    [Abstract] [Full Text] [Related]

  • 12. 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 Mar; 10(6):458-465. PubMed ID: 27522574
    [Abstract] [Full Text] [Related]

  • 13. Relationship of coronary artery plaque composition to coronary artery stenosis severity: results from the prospective multicenter ACCURACY trial.
    Min JK, Edwardes M, Lin FY, Labounty T, Weinsaft JW, Choi JH, Delago A, Shaw LJ, Berman DS, Budoff MJ.
    Atherosclerosis; 2011 Dec; 219(2):573-8. PubMed ID: 21696739
    [Abstract] [Full Text] [Related]

  • 14. Clinical application of effective atomic number for classifying non-calcified coronary plaques by dual-energy computed tomography.
    Nakajima S, Ito H, Mitsuhashi T, Kubo Y, Matsui K, Tanaka I, Fukui R, Omori H, Nakaoka T, Sakura H, Ueno E, Machida H.
    Atherosclerosis; 2017 Jun; 261():138-143. PubMed ID: 28372786
    [Abstract] [Full Text] [Related]

  • 15. Reproducibility of semi-automatic coronary plaque quantification in coronary CT angiography with sub-mSv radiation dose.
    Øvrehus KA, Schuhbaeck A, Marwan M, Achenbach S, Nørgaard BL, Bøtker HE, Dey D.
    J Cardiovasc Comput Tomogr; 2016 Jun; 10(2):114-20. PubMed ID: 26712694
    [Abstract] [Full Text] [Related]

  • 16. First experience with monochromatic coronary computed tomography angiography from a 64-slice CT scanner with Gemstone Spectral Imaging (GSI).
    Fuchs TA, Stehli J, Fiechter M, Dougoud S, Gebhard C, Ghadri JR, Husmann L, Gaemperli O, Kaufmann PA.
    J Cardiovasc Comput Tomogr; 2013 Jun; 7(1):25-31. PubMed ID: 23452997
    [Abstract] [Full Text] [Related]

  • 17. Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study.
    Voros S, Rinehart S, Qian Z, Vazquez G, Anderson H, Murrieta L, Wilmer C, Carlson H, Taylor K, Ballard W, Karmpaliotis D, Kalynych A, Brown C.
    JACC Cardiovasc Interv; 2011 Feb; 4(2):198-208. PubMed ID: 21349459
    [Abstract] [Full Text] [Related]

  • 18. 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; 10(2):97-104. PubMed ID: 26837235
    [Abstract] [Full Text] [Related]

  • 19. 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; 34(2):311-319. PubMed ID: 28803421
    [Abstract] [Full Text] [Related]

  • 20. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis.
    Tesche C, De Cecco CN, Caruso D, Baumann S, Renker M, Mangold S, Dyer KT, Varga-Szemes A, Baquet M, Jochheim D, Ebersberger U, Bayer RR, Hoffmann E, Steinberg DH, Schoepf UJ.
    J Cardiovasc Comput Tomogr; 2016 Feb; 10(3):199-206. PubMed ID: 26993434
    [Abstract] [Full Text] [Related]

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