BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

259 related articles for article (PubMed ID: 29514708)

  • 1. Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis.
    Ta AD; Hsu LY; Conn HM; Winkler S; Greve AM; Shanbhag SM; Chen MY; Patricia Bandettini W; Arai AE
    J Cardiovasc Magn Reson; 2018 Mar; 20(1):16. PubMed ID: 29514708
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance.
    Hsu LY; Jacobs M; Benovoy M; Ta AD; Conn HM; Winkler S; Greve AM; Chen MY; Shanbhag SM; Bandettini WP; Arai AE
    JACC Cardiovasc Imaging; 2018 May; 11(5):697-707. PubMed ID: 29454767
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology.
    Kotecha T; Martinez-Naharro A; Boldrini M; Knight D; Hawkins P; Kalra S; Patel D; Coghlan G; Moon J; Plein S; Lockie T; Rakhit R; Patel N; Xue H; Kellman P; Fontana M
    JACC Cardiovasc Imaging; 2019 Oct; 12(10):1958-1969. PubMed ID: 30772231
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT.
    Ishida M; Kitagawa K; Ichihara T; Natsume T; Nakayama R; Nagasawa N; Kubooka M; Ito T; Uno M; Goto Y; Nagata M; Sakuma H
    J Cardiovasc Comput Tomogr; 2016; 10(3):207-14. PubMed ID: 26851149
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparison of cardiovascular magnetic resonance and single photon emission computed tomography (SPECT) perfusion imaging in left main stem or equivalent coronary artery disease: a CE-MARC substudy.
    Foley JRJ; Kidambi A; Biglands JD; Maredia N; Dickinson CJ; Plein S; Greenwood JP
    J Cardiovasc Magn Reson; 2017 Nov; 19(1):84. PubMed ID: 29110669
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantitative three-dimensional cardiovascular magnetic resonance myocardial perfusion imaging in systole and diastole.
    Motwani M; Kidambi A; Sourbron S; Fairbairn TA; Uddin A; Kozerke S; Greenwood JP; Plein S
    J Cardiovasc Magn Reson; 2014 Feb; 16(1):19. PubMed ID: 24565078
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Regadenoson dynamic computed tomography myocardial perfusion using low-dose protocol for evaluation of the ischemic burden. ULYSSES study.
    Oleksiak A; Kruk M; Pugliese F; Spiewak M; Milosz-Wieczorek B; Marczak M; Demkow M; Kepka C
    J Cardiovasc Comput Tomogr; 2020; 14(5):428-436. PubMed ID: 32029383
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic value of PET-measured longitudinal flow gradient for the identification of coronary artery disease.
    Valenta I; Quercioli A; Schindler TH
    JACC Cardiovasc Imaging; 2014 Apr; 7(4):387-96. PubMed ID: 24631507
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative pixel-wise measurement of myocardial blood flow: the impact of surface coil-related field inhomogeneity and a comparison of methods for its correction.
    Miller CA; Hsu LY; Ta A; Conn H; Winkler S; Arai AE
    J Cardiovasc Magn Reson; 2015 Feb; 17(1):11. PubMed ID: 25827156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitative cardiovascular magnetic resonance perfusion imaging identifies reduced flow reserve in microvascular coronary artery disease.
    Zorach B; Shaw PW; Bourque J; Kuruvilla S; Balfour PC; Yang Y; Mathew R; Pan J; Gonzalez JA; Taylor AM; Meyer CH; Epstein FH; Kramer CM; Salerno M
    J Cardiovasc Magn Reson; 2018 Feb; 20(1):14. PubMed ID: 29471856
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sub-segmental quantification of single (stress)-pass perfusion CMR improves the diagnostic accuracy for detection of obstructive coronary artery disease.
    Le MTP; Zarinabad N; D'Angelo T; Mia I; Heinke R; Vogl TJ; Zeiher A; Nagel E; Puntmann VO
    J Cardiovasc Magn Reson; 2020 Feb; 22(1):14. PubMed ID: 32028980
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrated Myocardial Perfusion Imaging Diagnostics Improve Detection of Functionally Significant Coronary Artery Stenosis by 13N-ammonia Positron Emission Tomography.
    Lee JM; Kim CH; Koo BK; Hwang D; Park J; Zhang J; Tong Y; Jeon KH; Bang JI; Suh M; Paeng JC; Cheon GJ; Na SH; Ahn JM; Park SJ; Kim HS
    Circ Cardiovasc Imaging; 2016 Sep; 9(9):. PubMed ID: 27609817
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computed Tomographic Perfusion Improves Diagnostic Power of Coronary Computed Tomographic Angiography in Women: Analysis of the CORE320 Trial (Coronary Artery Evaluation Using 320-Row Multidetector Computed Tomography Angiography and Myocardial Perfusion) According to Gender.
    Penagaluri A; Higgins AY; Vavere AL; Miller JM; Arbab-Zadeh A; Betoko A; Steveson C; Zimmermann E; Cox C; Rochitte CE; Dewey M; Kofoed KF; Niinuma H; Di Carli MF; Lima JA; Chen MY
    Circ Cardiovasc Imaging; 2016 Nov; 9(11):. PubMed ID: 27811151
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Incremental Prognostic Value of Myocardial Blood Flow Quantified With Stress Dynamic Computed Tomography Perfusion Imaging.
    Nakamura S; Kitagawa K; Goto Y; Omori T; Kurita T; Yamada A; Takafuji M; Uno M; Dohi K; Sakuma H
    JACC Cardiovasc Imaging; 2019 Jul; 12(7 Pt 2):1379-1387. PubMed ID: 30031698
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against invasive methods.
    Papanastasiou G; Williams MC; Dweck MR; Alam S; Cooper A; Mirsadraee S; Newby DE; Semple SI
    J Cardiovasc Magn Reson; 2016 Sep; 18(1):57. PubMed ID: 27624746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnostic value of global myocardial perfusion reserve assessment based on coronary sinus flow measurements using cardiovascular magnetic resonance in addition to myocardial stress perfusion imaging.
    Shomanova Z; Florian A; Bietenbeck M; Waltenberger J; Sechtem U; Yilmaz A
    Eur Heart J Cardiovasc Imaging; 2017 May; 18(8):851-859. PubMed ID: 28369259
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feasibility of dynamic myocardial CT perfusion using single-source 64-row CT.
    Tomizawa N; Chou S; Fujino Y; Kamitani M; Yamamoto K; Inoh S; Nojo T; Kumamaru KK; Aoki S; Nakamura S
    J Cardiovasc Comput Tomogr; 2019; 13(1):55-61. PubMed ID: 30309765
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A quantitative pixel-wise measurement of myocardial blood flow by contrast-enhanced first-pass CMR perfusion imaging: microsphere validation in dogs and feasibility study in humans.
    Hsu LY; Groves DW; Aletras AH; Kellman P; Arai AE
    JACC Cardiovasc Imaging; 2012 Feb; 5(2):154-66. PubMed ID: 22340821
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease.
    Zhao SH; Guo WF; Yao ZF; Yang S; Yun H; Chen YY; Han TT; Zhou XY; Fu CX; Zeng MS; Li CG; Pan CZ; Jin H
    Eur Radiol; 2023 Oct; 33(10):7238-7249. PubMed ID: 37145148
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Utility of stress perfusion-cardiac magnetic resonance in follow-up of patients undergoing percutaneous coronary interventions of the left main coronary artery.
    Nanni S; Lovato L; Ghetti G; Vagnarelli F; Mineo G; Fattori R; Saia F; Marzocchi A; Marrozzini C; Zompatori M; Reggiani LB; Semprini F; Melandri G; Biagini E; Corsini A; Norscini G; Rapezzi C
    Int J Cardiovasc Imaging; 2017 Oct; 33(10):1589-1597. PubMed ID: 28455632
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.