These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
461 related articles for article (PubMed ID: 32057618)
41. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. Koo BK; Erglis A; Doh JH; Daniels DV; Jegere S; Kim HS; Dunning A; DeFrance T; Lansky A; Leipsic J; Min JK J Am Coll Cardiol; 2011 Nov; 58(19):1989-97. PubMed ID: 22032711 [TBL] [Abstract][Full Text] [Related]
42. Diagnostic efficacy of CCTA and CT-FFR based on risk factors for myocardial ischemia. Yongguang G; Yibing S; Ping X; Jinyao Z; Yufei F; Yayong H; Yuanshun X; Gutao L J Cardiothorac Surg; 2022 Mar; 17(1):39. PubMed ID: 35305691 [TBL] [Abstract][Full Text] [Related]
43. Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition. Yang F; Shi K; Chen Y; Yin Y; Zhao Y; Zhang T J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):205-211. PubMed ID: 36877750 [TBL] [Abstract][Full Text] [Related]
44. Diastolic versus systolic coronary computed tomography angiography derived fractional flow reserve for the identification of lesion-specific ischemia. Gao Y; Zhao N; Song L; Hu F; Mu C; Gao L; Cui J; Yin D; Yang W; Xu B; Lu B Eur J Radiol; 2022 Feb; 147():110098. PubMed ID: 34974364 [TBL] [Abstract][Full Text] [Related]
45. 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]
46. Diagnostic value of quantitative stenosis predictors with coronary CT angiography compared to invasive fractional flow reserve. Wang R; Renker M; Schoepf UJ; Wichmann JL; Fuller SR; Rier JD; Bayer RR; Steinberg DH; De Cecco CN; Baumann S Eur J Radiol; 2015 Aug; 84(8):1509-1515. PubMed ID: 26022519 [TBL] [Abstract][Full Text] [Related]
47. Influence of Coronary Calcification on the Diagnostic Performance of CT Angiography Derived FFR in Coronary Artery Disease: A Substudy of the NXT Trial. Nørgaard BL; Gaur S; Leipsic J; Ito H; Miyoshi T; Park SJ; Zvaigzne L; Tzemos N; Jensen JM; Hansson N; Ko B; Bezerra H; Christiansen EH; Kaltoft A; Lassen JF; Bøtker HE; Achenbach S JACC Cardiovasc Imaging; 2015 Sep; 8(9):1045-1055. PubMed ID: 26298072 [TBL] [Abstract][Full Text] [Related]
48. Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium). Nous FMA; Coenen A; Boersma E; Kim YH; Kruk MBP; Tesche C; de Geer J; Yang DH; Kepka C; Schoepf UJ; Persson A; Kurata A; Budde RPJ; Nieman K Am J Cardiol; 2019 Feb; 123(4):537-543. PubMed ID: 30553510 [TBL] [Abstract][Full Text] [Related]
49. Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registry. Baumann S; Renker M; Schoepf UJ; De Cecco CN; Coenen A; De Geer J; Kruk M; Kim YH; Albrecht MH; Duguay TM; Jacobs BE; Bayer RR; Litwin SE; Weiss C; Akin I; Borggrefe M; Yang DH; Kepka C; Persson A; Nieman K; Tesche C Eur J Radiol; 2019 Oct; 119():108657. PubMed ID: 31521876 [TBL] [Abstract][Full Text] [Related]
50. Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: results from the DeFACTO study. Nakazato R; Park HB; Berman DS; Gransar H; Koo BK; Erglis A; Lin FY; Dunning AM; Budoff MJ; Malpeso J; Leipsic J; Min JK Circ Cardiovasc Imaging; 2013 Nov; 6(6):881-9. PubMed ID: 24081777 [TBL] [Abstract][Full Text] [Related]
51. Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation. Hae H; Kang SJ; Kim WJ; Choi SY; Lee JG; Bae Y; Cho H; Yang DH; Kang JW; Lim TH; Lee CH; Kang DY; Lee PH; Ahn JM; Park DW; Lee SW; Kim YH; Lee CW; Park SW; Park SJ PLoS Med; 2018 Nov; 15(11):e1002693. PubMed ID: 30422987 [TBL] [Abstract][Full Text] [Related]
52. 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 [TBL] [Abstract][Full Text] [Related]
53. What is the optimal anatomic location for coronary artery pressure measurement at CT-derived FFR? Solecki M; Kruk M; Demkow M; Schoepf UJ; Reynolds MA; Wardziak Ł; Dzielińska Z; Śpiewak M; Miłosz-Wieczorek B; Małek Ł; Marczak M; Kępka C J Cardiovasc Comput Tomogr; 2017; 11(5):397-403. PubMed ID: 28844869 [TBL] [Abstract][Full Text] [Related]
54. The diagnostic performance of on-site workstation-based computed tomography-derived fractional flow reserve. Comparison with myocardium perfusion imaging. Fukuoka R; Kawasaki T; Umeji K; Okonogi T; Koga N Heart Vessels; 2022 Jan; 37(1):22-30. PubMed ID: 34263357 [TBL] [Abstract][Full Text] [Related]
55. Coronary plaque assessment of Vasodilative capacity by CT angiography effectively estimates fractional flow reserve. Varga-Szemes A; Schoepf UJ; Maurovich-Horvat P; Wang R; Xu L; Dargis DM; Emrich T; Buckler AJ Int J Cardiol; 2021 May; 331():307-315. PubMed ID: 33529657 [TBL] [Abstract][Full Text] [Related]
56. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. Duguay TM; Tesche C; Vliegenthart R; De Cecco CN; Lin H; Albrecht MH; Varga-Szemes A; De Santis D; Ebersberger U; Bayer RR; Litwin SE; Hoffmann E; Steinberg DH; Schoepf UJ Am J Cardiol; 2017 Oct; 120(8):1260-1266. PubMed ID: 28844517 [TBL] [Abstract][Full Text] [Related]
57. 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]
58. Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve. Jiang W; Pan Y; Hu Y; Leng X; Jiang J; Feng L; Xia Y; Sun Y; Wang J; Xiang J; Li C Biomed Eng Online; 2021 Aug; 20(1):77. PubMed ID: 34348731 [TBL] [Abstract][Full Text] [Related]
59. Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis. Yu L; Chen X; Ling R; Yu Y; Yang W; Sun J; Zhang J Eur Radiol; 2023 Mar; 33(3):2004-2014. PubMed ID: 36258046 [TBL] [Abstract][Full Text] [Related]
60. Diagnostic accuracy and discrimination of ischemia by fractional flow reserve CT using a clinical use rule: results from the Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography study. Thompson AG; Raju R; Blanke P; Yang TH; Mancini GB; Budoff MJ; Norgaard BL; Min JK; Leipsic JA J Cardiovasc Comput Tomogr; 2015; 9(2):120-8. PubMed ID: 25819194 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]