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 *

203 related articles for article (PubMed ID: 37507716)

  • 1. Non-contrast CT-based radiomics nomogram of pericoronary adipose tissue for predicting haemodynamically significant coronary stenosis in patients with type 2 diabetes.
    Chen C; Chen M; Tao Q; Hu S; Hu C
    BMC Med Imaging; 2023 Jul; 23(1):99. PubMed ID: 37507716
    [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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. [Feasibility on the diagnosis of non-calcified plaque based on radiomics of pericoronary adipose tissue on plain CT scan image].
    Tao Q; Wang S; Xu F; Chen M; Zha XY; Chen C; Hu S; Zhang LY; Shen HL; Hu CH
    Zhonghua Yi Xue Za Zhi; 2021 Feb; 101(7):458-463. PubMed ID: 33631888
    [No Abstract]   [Full Text] [Related]  

  • 8. Radiomics analysis of pericoronary adipose tissue based on plain CT for preliminary screening of coronary artery disease in patients with type 2 diabetes mellitus.
    Chen M; Hu J; Chen C; Hao G; Hu S; Xu J; Hu C
    Acta Radiol; 2023 Oct; 64(10):2704-2713. PubMed ID: 37603886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Diagnosis of perimenopausal coronary heart disease patients using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography.
    Zhan W; Luo H; Feng J; Li R; Yang Y
    Sci Rep; 2024 Aug; 14(1):19643. PubMed ID: 39179762
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics of pericoronary adipose tissue on computed tomography angiography predicts coronary heart disease in patients with type 2 diabetes mellitus.
    Miao S; Yu F; Sheng R; Zhang X; Li Y; Qi Y; Lu S; Ji P; Fan J; Zhang X; Xu T; Wang Z; Liu Y; Yang G
    BMC Cardiovasc Disord; 2024 Jun; 24(1):300. PubMed ID: 38867152
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnostic performance of perivascular fat attenuation index to predict hemodynamic significance of coronary stenosis: a preliminary coronary computed tomography angiography study.
    Yu M; Dai X; Deng J; Lu Z; Shen C; Zhang J
    Eur Radiol; 2020 Feb; 30(2):673-681. PubMed ID: 31444596
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive value of CCTA-based pericoronary adipose tissue imaging for major adverse cardiovascular events.
    Wu Y; Qi H; Zhang X; Xing Y
    Acad Radiol; 2024 Sep; ():. PubMed ID: 39304378
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. The role of epicardial and pericoronary adipose tissue radiomics in identifying patients with non-ST-segment elevation myocardial infarction from unstable angina.
    Wang Z; Zhang J; Zhang A; Sun Y; Su M; You H; Zhang R; Jin Q; Shi J; Zhao D; Ma J; Sen Li ; Zhang L; Yang B
    Heliyon; 2023 May; 9(5):e15738. PubMed ID: 37153420
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study.
    Hou J; Jin H; Zhang Y; Xu Y; Cui F; Qin X; Han L; Yuan Z; Zheng G; Peng J; Shu Z; Gong X
    Front Cardiovasc Med; 2023; 10():1282768. PubMed ID: 38179506
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Influence of Different Segmentations on the Diagnostic Performance of Pericoronary Adipose Tissue.
    Wen D; An R; Lin S; Yang W; Jia Y; Zheng M
    Front Cardiovasc Med; 2022; 9():773524. PubMed ID: 35310984
    [TBL] [Abstract][Full Text] [Related]  

  • 18. High pericoronary adipose tissue attenuation on computed tomography angiography predicts cardiovascular events in patients with type 2 diabetes mellitus: post-hoc analysis from a prospective cohort study.
    Ichikawa K; Miyoshi T; Osawa K; Nakashima M; Miki T; Nishihara T; Toda H; Yoshida M; Ito H
    Cardiovasc Diabetol; 2022 Mar; 21(1):44. PubMed ID: 35303857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.