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 *

317 related articles for article (PubMed ID: 36729175)

  • 1. Incremental diagnostic value of radiomics signature of pericoronary adipose tissue for detecting functional myocardial ischemia: a multicenter study.
    Zhou K; Shang J; Guo Y; Ma S; Lv B; Zhao N; Liu H; Zhang J; Xv L; Wang Y; Liu T; Wang K; Dang Y; Ma Y; Chen X; Zhu N; Ran Z; Li S; Ma Q; Hu H; Zhu X; Li D; Hou Y
    Eur Radiol; 2023 May; 33(5):3007-3019. PubMed ID: 36729175
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Additive value of epicardial adipose tissue quantification to coronary CT angiography-derived plaque characterization and CT fractional flow reserve for the prediction of lesion-specific ischemia.
    Brandt V; Decker J; Schoepf UJ; Varga-Szemes A; Emrich T; Aquino G; Bayer RR; Carson L; Sullivan A; Ellis L; von Knebel Doeberitz PL; Ebersberger U; Bekeredjian R; Tesche C
    Eur Radiol; 2022 Jun; 32(6):4243-4252. PubMed ID: 35037968
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The incremental value of CCTA-derived myocardial radiomics signature for ischemia diagnosis with reference to CT myocardial perfusion imaging.
    Zhu MM; Zhu XM; Lin SS; Dong ST; Liu WY; Zhang JY; Xu Y
    Br J Radiol; 2023 Aug; 96(1148):20220971. PubMed ID: 37191174
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography.
    Shang J; Ma S; Guo Y; Yang L; Zhang Q; Xie F; Ma Y; Ma Q; Dang Y; Zhou K; Liu T; Yang J; Hou Y
    Eur Radiol; 2022 Feb; 32(2):1256-1266. PubMed ID: 34435205
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Coronary computed tomography angiography imaging features combined with computed tomography-fractional flow reserve, pericoronary fat attenuation index, and radiomics for the prediction of myocardial ischemia.
    Hou J; Zheng G; Han L; Shu Z; Wang H; Yuan Z; Peng J; Gong X
    J Nucl Cardiol; 2023 Oct; 30(5):1838-1850. PubMed ID: 36859595
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting haemodynamic significance of coronary stenosis with radiomics-based pericoronary adipose tissue characteristics.
    Wen D; Xu Z; An R; Ren J; Jia Y; Li J; Zheng M
    Clin Radiol; 2022 Feb; 77(2):e154-e161. PubMed ID: 34852918
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of patients with acute myocardial infarction based on coronary CT angiography: the value of pericoronary adipose tissue radiomics.
    Si N; Shi K; Li N; Dong X; Zhu C; Guo Y; Hu J; Cui J; Yang F; Zhang T
    Eur Radiol; 2022 Oct; 32(10):6868-6877. PubMed ID: 35505117
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pericoronary adipose tissue CT attenuation and volume: Diagnostic performance for hemodynamically significant stenosis in patients with suspected coronary artery disease.
    Wen D; Li J; Ren J; Zhao H; Li J; Zheng M
    Eur J Radiol; 2021 Jul; 140():109740. PubMed ID: 33971573
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Performance of Radiomics Models Based on Coronary Computed Tomography Angiography in Predicting The Risk of Major Adverse Cardiovascular Events Within 3 Years: A Comparison Between the Pericoronary Adipose Tissue Model and the Epicardial Adipose Tissue Model.
    You H; Zhang R; Hu J; Sun Y; Li X; Hou J; Pei Y; Zhao L; Zhang L; Yang B
    Acad Radiol; 2023 Mar; 30(3):390-401. PubMed ID: 35431140
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computed Tomography-derived Characterization of Pericoronary, Epicardial, and Paracardial Adipose Tissue and Its Association With Myocardial Ischemia as Assessed by Computed Fractional Flow Reserve.
    Duncker H; Achenbach S; Moshage M; Dey D; Bittner DO; Ammon F; Marwan M; Goeller M
    J Thorac Imaging; 2023 Jan; 38(1):46-53. PubMed ID: 36490312
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Predicting coronary plaque progression with conventional plaque parameters and radiomics features derived from coronary CT angiography.
    Feng C; Chen R; Dong S; Deng W; Lin S; Zhu X; Liu W; Xu Y; Li X; Zhu Y
    Eur Radiol; 2023 Dec; 33(12):8513-8520. PubMed ID: 37460800
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score.
    Hu W; Wu X; Dong D; Cui LB; Jiang M; Zhang J; Wang Y; Wang X; Gao L; Tian J; Cao F
    Int J Cardiovasc Imaging; 2020 Oct; 36(10):2039-2050. PubMed ID: 32488454
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Coronary CTA-based radiomic signature of pericoronary adipose tissue predict rapid plaque progression.
    Li Y; Huo H; Liu H; Zheng Y; Tian Z; Jiang X; Jin S; Hou Y; Yang Q; Teng F; Liu T
    Insights Imaging; 2024 Jun; 15(1):151. PubMed ID: 38900243
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease.
    Chen M; Hao G; Xu J; Liu Y; Yu Y; Hu S; Hu C
    BMC Med Imaging; 2024 Jun; 24(1):150. PubMed ID: 38886653
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Myocardial Infarction Associates With a Distinct Pericoronary Adipose Tissue Radiomic Phenotype: A Prospective Case-Control Study.
    Lin A; Kolossváry M; Yuvaraj J; Cadet S; McElhinney PA; Jiang C; Nerlekar N; Nicholls SJ; Slomka PJ; Maurovich-Horvat P; Wong DTL; Dey D
    JACC Cardiovasc Imaging; 2020 Nov; 13(11):2371-2383. PubMed ID: 32861654
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Diagnostic Performance of Machine Learning-Derived Radiomics Signature of Pericoronary Adipose Tissue in Coronary Computed Tomography Angiography for Coronary Artery In-Stent Restenosis.
    Cui K; Liang S; Hua M; Gao Y; Feng Z; Wang W; Zhang H
    Acad Radiol; 2023 Dec; 30(12):2834-2843. PubMed ID: 37268514
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.