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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 29450719)

  • 21. Identification of noncalcified coronary plaque characteristics using machine learning radiomic analysis of non-contrast high-resolution computed tomography.
    Kruk M; Wardziak Ł; Kolossvary M; Maurovich-Horvat P; Demkow M; Kępka C
    Kardiol Pol; 2023; 81(10):978-989. PubMed ID: 37660373
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Coronary computed tomography angiography and calcium scoring in routine clinical practice for identification of patients who require revascularization.
    Urbonaviciene G; Isaksen C; Urbonavicius S; Buhl JS; Johansen JK; Nielsen AH; Nørgaard KS; Nørgaard A; Frost L
    Arch Cardiovasc Dis; 2016; 109(6-7):412-21. PubMed ID: 27215378
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. High-risk Plaque and Calcification Detected by Coronary CT Angiography to Predict Future Cardiovascular Events After Percutaneous Coronary Intervention.
    Tomizawa N; Yamamoto K; Inoh S; Nojo T; Nakamura S
    Acad Radiol; 2018 Apr; 25(4):486-493. PubMed ID: 29195787
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis.
    Ahmadi A; Leipsic J; Øvrehus KA; Gaur S; Bagiella E; Ko B; Dey D; LaRocca G; Jensen JM; Bøtker HE; Achenbach S; De Bruyne B; Nørgaard BL; Narula J
    JACC Cardiovasc Imaging; 2018 Apr; 11(4):521-530. PubMed ID: 29311033
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A clinical model to identify patients with high-risk plaque by coronary computed tomography angiography.
    Tomizawa N; Yamamoto K; Hayakawa Y; Inoh S; Nojo T; Nakamura S
    Int J Cardiol; 2017 Feb; 228():260-264. PubMed ID: 27865195
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computed Tomography Coronary Plaque Characteristics Predict Ischemia Detected by Invasive Fractional Flow Reserve.
    Velangi PS; Maharaj V; Athwal SS; Bartos JA; Markowitz J; Duval S; Nijjar PS
    J Thorac Imaging; 2021 Nov; 36(6):360-366. PubMed ID: 32701769
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Clinical Implications of Moderate Coronary Stenosis on Coronary Computed Tomography Angiography in Patients with Stable Angina.
    Kim C; Hong SJ; Ahn CM; Kim JS; Kim BK; Ko YG; Choi BW; Choi D; Jang Y; Hong MK
    Yonsei Med J; 2018 Oct; 59(8):937-944. PubMed ID: 30187700
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis.
    Tesche C; De Cecco CN; Vliegenthart R; Duguay TM; Stubenrauch AC; Rosenberg RD; Varga-Szemes A; Bayer RR; Yang J; Ebersberger U; Baquet M; Jochheim D; Hoffmann E; Steinberg DH; Chiaramida SA; Schoepf UJ
    J Cardiovasc Comput Tomogr; 2016; 10(5):377-83. PubMed ID: 27431607
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.
    Otsuka K; Fukuda S; Tanaka A; Nakanishi K; Taguchi H; Yoshikawa J; Shimada K; Yoshiyama M
    JACC Cardiovasc Imaging; 2013 Apr; 6(4):448-57. PubMed ID: 23498679
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Phenotyping coronary plaque by computed tomography in premature coronary artery disease.
    Rahoual G; Zeitouni M; Charpentier E; Ritvo PG; Rouanet S; Procopi N; Boukhelifa S; Charleux P; Guedeney P; Kerneis M; Barthélémy O; Silvain J; Montalescot G; Redheuil A; Collet JP
    Eur Heart J Cardiovasc Imaging; 2024 Jan; 25(2):257-266. PubMed ID: 37597177
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The value of quantified plaque analysis by dual-source coronary CT angiography to detect vulnerable plaques: a comparison study with intravascular ultrasound.
    Yuan M; Wu H; Li R; Yu M; Dai X; Zhang J
    Quant Imaging Med Surg; 2020 Mar; 10(3):668-677. PubMed ID: 32269927
    [TBL] [Abstract][Full Text] [Related]  

  • 34. High-density lipoprotein cholesterol, triglycerides, and characteristics of coronary atherosclerosis in patients with significant coronary artery disease newly diagnosed by computed tomography coronary angiography.
    Oleksiak A; Kępka C; Rucińska K; Marcinkiewicz K; Demkow M; Kruk M
    Kardiol Pol; 2023; 81(3):273-280. PubMed ID: 36475513
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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; 12(1):42-49. PubMed ID: 28988831
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The feasibility and limitation of coronary computed tomographic angiography imaging to identify coronary lipid-rich atheroma in vivo: Findings from near-infrared spectroscopy analysis.
    Kitahara S; Kataoka Y; Miura H; Nishii T; Nishimura K; Murai K; Iwai T; Nakamura H; Hosoda H; Matama H; Doi T; Nakashima T; Honda S; Fujino M; Nakao K; Yoneda S; Nishihira K; Kanaya T; Otsuka F; Asaumi Y; Tsujita K; Noguchi T; Yasuda S
    Atherosclerosis; 2021 Apr; 322():1-7. PubMed ID: 33706078
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Interaction between risk factors, coronary calcium, and CCTA plaque characteristics in patients aged 18-45 years.
    Lorenzatti D; Piña P; Huang D; Apple SJ; Fernandez-Hazim C; Ippolito P; Abdullah A; Rodriguez-Guerra M; Skendelas JP; Scotti A; Kuno T; Latib A; Schenone AL; Nasir K; Blankstein R; Blaha MJ; Berman DS; Dey D; Virani SS; Garcia MJ; Slipczuk L
    Eur Heart J Cardiovasc Imaging; 2024 Jul; 25(8):1071-1082. PubMed ID: 38578944
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Dynamic change of high-risk plaque detected by coronary computed tomographic angiography in patients with subclinical coronary artery disease.
    Iwasaki K; Matsumoto T
    Int J Cardiovasc Imaging; 2016 Nov; 32(11):1667-1673. PubMed ID: 27522669
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Risk factor profiling and study of atherosclerotic coronary plaque burden and morphology with coronary computed tomography angiography in coronary artery disease among young Indians.
    Chaudhary R; Chauhan A; Singhal M; Bagga S
    Int J Cardiol; 2017 Aug; 240():452-457. PubMed ID: 28477962
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.