BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

321 related articles for article (PubMed ID: 29970381)

  • 1. High-Risk Plaque Regression and Stabilization: Hybrid Noninvasive Morphological and Hemodynamic Assessment.
    Giannopoulos AA; Mitsouras D; Bartykowszki A; Merkely B; Chatzizisis YS; Buechel RR; Kaufmann PA; Gaemperli O; Maurovich-Horvat P
    Circ Cardiovasc Imaging; 2018 Jul; 11(7):e007888. PubMed ID: 29970381
    [No Abstract]   [Full Text] [Related]  

  • 2. 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; 10(3):199-206. PubMed ID: 26993434
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve.
    Koo HJ; Yang DH; Kim YH; Kang JW; Kang SJ; Kweon J; Kim HJ; Lim TH
    Int J Cardiovasc Imaging; 2016 Jun; 32 Suppl 1():1-19. PubMed ID: 26667445
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Angiographically minimal but functionally significant coronary lesion confirmed by optical coherence tomography.
    Yoon HJ; Cho YK; Nam CW; Kim KB; Hur SH
    Korean J Intern Med; 2016 Jul; 31(4):807-8. PubMed ID: 27320616
    [No Abstract]   [Full Text] [Related]  

  • 5. How atherosclerosis defines ischemia: Atherosclerosis quantification and characterization as a method for determining ischemia.
    Ahmadi A; Senoner T; Correa A; Feuchtner G; Narula J
    J Cardiovasc Comput Tomogr; 2020; 14(5):394-399. PubMed ID: 31776070
    [No Abstract]   [Full Text] [Related]  

  • 6. 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; 12(4):344-349. PubMed ID: 29866619
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational fluid dynamics: can computed tomography imaging compete with cath-lab physiology?
    Marwan M
    Cardiovasc Res; 2019 Mar; 115(4):e41-e43. PubMed ID: 30907416
    [No Abstract]   [Full Text] [Related]  

  • 8. Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve.
    Rizvi A; Hartaigh BÓ; Danad I; Han D; Lee JH; Gransar H; Szymonifka J; Lin FY; Min JK
    Atherosclerosis; 2017 Mar; 258():145-151. PubMed ID: 28168977
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Noninvasive FFR Derived From Coronary CT Angiography: Management and Outcomes in the PROMISE Trial.
    Lu MT; Ferencik M; Roberts RS; Lee KL; Ivanov A; Adami E; Mark DB; Jaffer FA; Leipsic JA; Douglas PS; Hoffmann U
    JACC Cardiovasc Imaging; 2017 Nov; 10(11):1350-1358. PubMed ID: 28412436
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fractional flow reserve derived from coronary computed tomography angiography reclassification rate using value distal to lesion compared to lowest value.
    Kueh SH; Mooney J; Ohana M; Kim U; Blanke P; Grover R; Sellers S; Ellis J; Murphy D; Hague C; Bax JJ; Nørgaard BL; Rabbat M; Leipsic JA
    J Cardiovasc Comput Tomogr; 2017 Nov; 11(6):462-467. PubMed ID: 28986147
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hemodynamic impact of coronary stenosis using computed tomography: comparison between noninvasive fractional flow reserve and 3D fusion of coronary angiography with stress myocardial perfusion.
    Patel AR; Maffessanti F; Patel MB; Kebed K; Narang A; Singh A; Medvedofsky D; Zaidi SJ; Mediratta A; Goyal N; Kachenoura N; Lang RM; Mor-Avi V
    Int J Cardiovasc Imaging; 2019 Sep; 35(9):1733-1743. PubMed ID: 31073698
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics.
    Lee JM; Choi G; Koo BK; Hwang D; Park J; Zhang J; Kim KJ; Tong Y; Kim HJ; Grady L; Doh JH; Nam CW; Shin ES; Cho YS; Choi SY; Chun EJ; Choi JH; Nørgaard BL; Christiansen EH; Niemen K; Otake H; Penicka M; de Bruyne B; Kubo T; Akasaka T; Narula J; Douglas PS; Taylor CA; Kim HS
    JACC Cardiovasc Imaging; 2019 Jun; 12(6):1032-1043. PubMed ID: 29550316
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Planning percutaneous coronary interventions using computed tomography angiography and fractional flow reserve-derived from computed tomography: A state-of-the-art review.
    Feldmann K; Cami E; Safian RD
    Catheter Cardiovasc Interv; 2019 Feb; 93(2):298-304. PubMed ID: 30286519
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Relationship of the Duke jeopardy score combined with minimal lumen diameter as assessed by computed tomography angiography to the hemodynamic relevance of coronary artery stenosis.
    Yu M; Zhao Y; Li W; Lu Z; Wei M; Zhou W; Zhang J
    J Cardiovasc Comput Tomogr; 2018; 12(3):247-254. PubMed ID: 29598929
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Interpreting results of coronary computed tomography angiography-derived fractional flow reserve in clinical practice.
    Rabbat MG; Berman DS; Kern M; Raff G; Chinnaiyan K; Koweek L; Shaw LJ; Blanke P; Scherer M; Jensen JM; Lesser J; Nørgaard BL; Pontone G; De Bruyne B; Bax JJ; Leipsic J
    J Cardiovasc Comput Tomogr; 2017; 11(5):383-388. PubMed ID: 28666784
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis of Coronary Disease and Icing on the Cake.
    Min JK; Chandrashekhar Y; Narula J
    JACC Cardiovasc Imaging; 2015 Sep; 8(9):1117-1120. PubMed ID: 26381774
    [No Abstract]   [Full Text] [Related]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update.
    Nakanishi R; Budoff MJ
    Vasc Health Risk Manag; 2016; 12():269-78. PubMed ID: 27382296
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.