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Journal Abstract Search

417 related items for PubMed ID: 35183478

  • 1.
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  • 2. Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard.
    Lipkin I, Telluri A, Kim Y, Sidahmed A, Krepp JM, Choi BG, Jonas R, Marques H, Chang HJ, Choi JH, Doh JH, Her AY, Koo BK, Nam CW, Park HB, Shin SH, Cole J, Gimelli A, Khan MA, Lu B, Gao Y, Nabi F, Nakazato R, Schoepf UJ, Driessen RS, Bom MJ, Jang JJ, Ridner M, Rowan C, Avelar E, Généreux P, Knaapen P, de Waard GA, Pontone G, Andreini D, Al-Mallah MH, Crabtree TR, Earls JP, Choi AD, Min JK.
    AJR Am J Roentgenol; 2022 Sep; 219(3):407-419. PubMed ID: 35441530
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  • 4. Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia.
    Nurmohamed NS, Danad I, Jukema RA, de Winter RW, de Groot RJ, Driessen RS, Bom MJ, van Diemen P, Pontone G, Andreini D, Chang HJ, Katz RJ, Stroes ESG, Wang H, Chan C, Crabtree T, Aquino M, Min JK, Earls JP, Bax JJ, Choi AD, Knaapen P, van Rosendael AR, CREDENCE and PACIFIC-1 Investigators.
    JACC Cardiovasc Imaging; 2024 Aug; 17(8):894-906. PubMed ID: 38483420
    [Abstract] [Full Text] [Related]

  • 5. Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial.
    Kim Y, Choi AD, Telluri A, Lipkin I, Bradley AJ, Sidahmed A, Jonas R, Andreini D, Bathina R, Baggiano A, Cerci R, Choi EY, Choi JH, Choi SY, Chung N, Cole J, Doh JH, Ha SJ, Her AY, Kepka C, Kim JY, Kim JW, Kim SW, Kim W, Pontone G, Villines TC, Cho I, Danad I, Heo R, Lee SE, Lee JH, Park HB, Sung JM, Crabtree T, Earls JP, Min JK, Chang HJ.
    Clin Cardiol; 2023 May; 46(5):477-483. PubMed ID: 36847047
    [Abstract] [Full Text] [Related]

  • 6. CT Angiography for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions: Head-to-Head Comparison With Quantitative Coronary Angiography Using Fractional Flow Reserve as the Reference Standard.
    Budoff MJ, Nakazato R, Mancini GB, Gransar H, Leipsic J, Berman DS, Min JK.
    JACC Cardiovasc Imaging; 2016 May; 9(5):559-64. PubMed ID: 26897669
    [Abstract] [Full Text] [Related]

  • 7. Coronary CTA plaque volume severity stages according to invasive coronary angiography and FFR.
    Min JK, Chang HJ, Andreini D, Pontone G, Guglielmo M, Bax JJ, Knaapen P, Raman SV, Chazal RA, Freeman AM, Crabtree T, Earls JP.
    J Cardiovasc Comput Tomogr; 2022 May; 16(5):415-422. PubMed ID: 35379596
    [Abstract] [Full Text] [Related]

  • 8. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.
    Coenen A, Kim YH, Kruk M, Tesche C, De Geer J, Kurata A, Lubbers ML, Daemen J, Itu L, Rapaka S, Sharma P, Schwemmer C, Persson A, Schoepf UJ, Kepka C, Hyun Yang D, Nieman K.
    Circ Cardiovasc Imaging; 2018 Jun; 11(6):e007217. PubMed ID: 29914866
    [Abstract] [Full Text] [Related]

  • 9. CT ​Evaluation ​by ​Artificial ​Intelligence ​for ​Atherosclerosis, Stenosis and Vascular ​Morphology ​(CLARIFY): ​A ​Multi-center, international study.
    Choi AD, Marques H, Kumar V, Griffin WF, Rahban H, Karlsberg RP, Zeman RK, Katz RJ, Earls JP.
    J Cardiovasc Comput Tomogr; 2021 Jun; 15(6):470-476. PubMed ID: 34127407
    [Abstract] [Full Text] [Related]

  • 10.
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  • 11. CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris.
    Øvrehus KA, Gaur S, Leipsic J, Jensen JM, Dey D, Bøtker HE, Ahmadi A, Achenbach S, Ko B, Nørgaard BL.
    J Cardiovasc Comput Tomogr; 2018 Jun; 12(4):344-349. PubMed ID: 29866619
    [Abstract] [Full Text] [Related]

  • 12. 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]

  • 13. Interobserver variability among expert readers quantifying plaque volume and plaque characteristics on coronary CT angiography: a CLARIFY trial sub-study.
    Jonas RA, Weerakoon S, Fisher R, Griffin WF, Kumar V, Rahban H, Marques H, Karlsberg RP, Jennings RS, Crabtree TR, Choi AD, Earls JP.
    Clin Imaging; 2022 Nov; 91():19-25. PubMed ID: 35986973
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. Rationale and design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) study.
    Min JK, Berman DS, Budoff MJ, Jaffer FA, Leipsic J, Leon MB, Mancini GB, Mauri L, Schwartz RS, Shaw LJ.
    J Cardiovasc Comput Tomogr; 2011 Nov; 5(5):301-9. PubMed ID: 21930103
    [Abstract] [Full Text] [Related]

  • 16. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence.
    Jonas R, Earls J, Marques H, Chang HJ, Choi JH, Doh JH, Her AY, Koo BK, Nam CW, Park HB, Shin S, Cole J, Gimelli A, Khan MA, Lu B, Gao Y, Nabi F, Nakazato R, Schoepf UJ, Driessen RS, Bom MJ, Thompson RC, Jang JJ, Ridner M, Rowan C, Avelar E, Généreux P, Knaapen P, de Waard GA, Pontone G, Andreini D, Al-Mallah MH, Jennings R, Crabtree TR, Villines TC, Min JK, Choi AD.
    Open Heart; 2021 Nov; 8(2):. PubMed ID: 34785589
    [Abstract] [Full Text] [Related]

  • 17. Diagnostic Performance of CT-Derived Fractional Flow Reserve in Australian Patients Referred for Invasive Coronary Angiography.
    Chua A, Ihdayhid AR, Linde JJ, Sørgaard M, Cameron JD, Seneviratne SK, Ko BS.
    Heart Lung Circ; 2022 Aug; 31(8):1102-1109. PubMed ID: 35501246
    [Abstract] [Full Text] [Related]

  • 18. Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
    von Knebel Doeberitz PL, De Cecco CN, Schoepf UJ, Duguay TM, Albrecht MH, van Assen M, Bauer MJ, Savage RH, Pannell JT, De Santis D, Johnson AA, Varga-Szemes A, Bayer RR, Schönberg SO, Nance JW, Tesche C.
    Eur Radiol; 2019 May; 29(5):2378-2387. PubMed ID: 30523456
    [Abstract] [Full Text] [Related]

  • 19. Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.
    Khan H, Bansal K, Griffin WF, Cantlay C, Sidahmed A, Nurmohamed NS, Zeman RK, Katz RJ, Blankstein R, Earls JP, Choi AD.
    Int J Cardiovasc Imaging; 2024 Jun; 40(6):1201-1209. PubMed ID: 38630211
    [Abstract] [Full Text] [Related]

  • 20. Diagnostic performance of quantitative coronary computed tomography angiography and quantitative coronary angiography to predict hemodynamic significance of intermediate-grade stenoses.
    Ghekiere O, Dewilde W, Bellekens M, Hoa D, Couvreur T, Djekic J, Coolen T, Mancini I, Vanhoenacker PK, Dendale P, Nchimi A.
    Int J Cardiovasc Imaging; 2015 Dec; 31(8):1651-61. PubMed ID: 26323355
    [Abstract] [Full Text] [Related]

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