BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 29548539)

  • 1. Quantitative baseline CT plaque characterization of unrevascularized non-culprit intermediate coronary stenosis predicts lesion volume progression and long-term prognosis: A serial CT follow-up study.
    Yu M; Li W; Lu Z; Wei M; Yan J; Zhang J
    Int J Cardiol; 2018 Aug; 264():181-186. PubMed ID: 29548539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.
    von Knebel Doeberitz PL; De Cecco CN; Schoepf UJ; Albrecht MH; van Assen M; De Santis D; Gaskins J; Martin S; Bauer MJ; Ebersberger U; Giovagnoli DA; Varga-Szemes A; Bayer RR; Schönberg SO; Tesche C
    Am J Cardiol; 2019 Nov; 124(9):1340-1348. PubMed ID: 31481177
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 10(6):458-465. PubMed ID: 27522574
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Long-term clinical outcomes in patients with untreated non-culprit intermediate coronary lesion and evaluation of predictors by using virtual histology-intravascular ultrasound; a prospective cohort study.
    Seo YH; Kim YK; Song IG; Kim KH; Kwon TG; Bae JH
    BMC Cardiovasc Disord; 2019 Aug; 19(1):187. PubMed ID: 31382885
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Characteristics Detected on Computed Tomography Angiography Predict Coronary Artery Plaque Progression in Non-Culprit Lesions.
    Tan Y; Zhou J; Zhou Y; Yang X; Yang J; Chen Y
    Korean J Radiol; 2017; 18(3):487-497. PubMed ID: 28458601
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Coronary artery volume index: a novel CCTA-derived predictor for cardiovascular events.
    Benetos G; Buechel RR; Gonçalves M; Benz DC; von Felten E; Rampidis GP; Clerc OF; Messerli M; Giannopoulos AA; Gebhard C; Fuchs TA; Pazhenkottil AP; Kaufmann PA; Gräni C
    Int J Cardiovasc Imaging; 2020 Apr; 36(4):713-722. PubMed ID: 31894527
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 10(2):97-104. PubMed ID: 26837235
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Epicardial adipose tissue is associated with high-risk plaque feature progression in non-culprit lesions.
    Tan Y; Zhou J; Zhou Y; Yang X; Wang J; Chen Y
    Int J Cardiovasc Imaging; 2017 Dec; 33(12):2029-2037. PubMed ID: 28550587
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study.
    Nakanishi R; Ceponiene I; Osawa K; Luo Y; Kanisawa M; Megowan N; Nezarat N; Rahmani S; Broersen A; Kitslaar PH; Dailing C; Budoff MJ
    Atherosclerosis; 2016 Dec; 255():73-79. PubMed ID: 27835741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ten-year clinical outcomes of an intermediate coronary lesion; prognosis and predictors of major adverse cardiovascular events.
    Bae JH; Corban MT; Seo YH; Kim T; Lee G; Kwon TG; Kim KH; Song IG; Lee MS; Rihal CS; Lerman A
    Int J Cardiol; 2020 Jan; 299():26-30. PubMed ID: 31281049
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. The high-risk criteria low-attenuation plaque <60 HU and the napkin-ring sign are the most powerful predictors of MACE: a long-term follow-up study.
    Feuchtner G; Kerber J; Burghard P; Dichtl W; Friedrich G; Bonaros N; Plank F
    Eur Heart J Cardiovasc Imaging; 2017 Jul; 18(7):772-779. PubMed ID: 27502292
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Serial coronary computed tomography angiography-verified coronary plaque progression: comparison of stented patients with or without diabetes.
    Shi R; Shi K; Yang ZG; Guo YK; Diao KY; Gao Y; Zhang Y; Huang S
    Cardiovasc Diabetol; 2019 Sep; 18(1):123. PubMed ID: 31551077
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Noninvasive diagnosis of ischemia-causing coronary stenosis using CT angiography: diagnostic value of transluminal attenuation gradient and fractional flow reserve computed from coronary CT angiography compared to invasively measured fractional flow reserve.
    Yoon YE; Choi JH; Kim JH; Park KW; Doh JH; Kim YJ; Koo BK; Min JK; Erglis A; Gwon HC; Choe YH; Choi DJ; Kim HS; Oh BH; Park YB
    JACC Cardiovasc Imaging; 2012 Nov; 5(11):1088-96. PubMed ID: 23153908
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Utilizing (serial) coronary computed tomography angiography (CCTA) to predict plaque progression and major adverse cardiac events (MACE): results, merits and challenges.
    van Driest FY; Bijns CM; van der Geest RJ; Broersen A; Dijkstra J; Scholte AJHA; Jukema JW
    Eur Radiol; 2022 May; 32(5):3408-3422. PubMed ID: 34997285
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Added value of high-risk plaque criteria by coronary CTA for prediction of long-term outcomes.
    Senoner T; Plank F; Barbieri F; Beyer C; Birkl K; Widmann G; Adukauskaite A; Friedrich G; Dichtl W; Feuchtner GM
    Atherosclerosis; 2020 May; 300():26-33. PubMed ID: 32298907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prognostic value of coronary atherosclerosis progression evaluated by coronary CT angiography in patients with stable angina.
    Gu H; Gao Y; Hou Z; Schoepf UJ; Snyder AN; Duguay TM; Wang X; Lu B
    Eur Radiol; 2018 Mar; 28(3):1066-1076. PubMed ID: 28963687
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Discrepancies between coronary CT angiography and invasive coronary angiography with focus on culprit lesions which cause future cardiac events.
    Kim J; Kwag HJ; Yoo SM; Yoo JY; Chae IH; Choi DJ; Park MJ; Vembar M; Chun EJ
    Eur Radiol; 2018 Apr; 28(4):1356-1364. PubMed ID: 29063248
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.