BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 34213687)

  • 1. Operator dependency of arterial input function in dynamic contrast-enhanced MRI.
    Kleppestø M; Bjørnerud A; Groote IR; Kim M; Vardal J; Larsson C
    MAGMA; 2022 Feb; 35(1):105-112. PubMed ID: 34213687
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Repeatability of arterial input functions and kinetic parameters in muscle obtained by dynamic contrast enhanced MR imaging of the head and neck.
    Koopman T; Martens RM; Lavini C; Yaqub M; Castelijns JA; Boellaard R; Marcus JT
    Magn Reson Imaging; 2020 May; 68():1-8. PubMed ID: 31978517
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions.
    Rata M; Collins DJ; Darcy J; Messiou C; Tunariu N; Desouza N; Young H; Leach MO; Orton MR
    Eur Radiol; 2016 Jul; 26(7):1991-8. PubMed ID: 26385804
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: II. In vivo results.
    Schabel MC; DiBella EV; Jensen RL; Salzman KL
    Phys Med Biol; 2010 Aug; 55(16):4807-23. PubMed ID: 20679695
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI.
    Keil VC; Mädler B; Gieseke J; Fimmers R; Hattingen E; Schild HH; Hadizadeh DR
    Magn Reson Imaging; 2017 Jul; 40():83-90. PubMed ID: 28438713
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer.
    Li X; Welch EB; Arlinghaus LR; Chakravarthy AB; Xu L; Farley J; Loveless ME; Mayer IA; Kelley MC; Meszoely IM; Means-Powell JA; Abramson VG; Grau AM; Gore JC; Yankeelov TE
    Phys Med Biol; 2011 Sep; 56(17):5753-69. PubMed ID: 21841212
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II.
    Huang W; Chen Y; Fedorov A; Li X; Jajamovich GH; Malyarenko DI; Aryal MP; LaViolette PS; Oborski MJ; O'Sullivan F; Abramson RG; Jafari-Khouzani K; Afzal A; Tudorica A; Moloney B; Gupta SN; Besa C; Kalpathy-Cramer J; Mountz JM; Laymon CM; Muzi M; Kinahan PE; Schmainda K; Cao Y; Chenevert TL; Taouli B; Yankeelov TE; Fennessy F; Li X
    Tomography; 2019 Mar; 5(1):99-109. PubMed ID: 30854447
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of artery input function on dynamic contrast-enhanced MRI for determining grades of gliomas.
    Jia L; Wu X; Wan Q; Wan L; Jia W; Zhang N
    Br J Radiol; 2021 Mar; 94(1119):20200699. PubMed ID: 33332981
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved reliability of perfusion estimation in dynamic susceptibility contrast MRI by using the arterial input function from dynamic contrast enhanced MRI.
    Tseng CH; Jaspers J; Romero AM; Wielopolski P; Smits M; van Osch MJP; Vos F
    NMR Biomed; 2024 Jan; 37(1):e5038. PubMed ID: 37712359
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge.
    Huang W; Chen Y; Fedorov A; Li X; Jajamovich GH; Malyarenko DI; Aryal MP; LaViolette PS; Oborski MJ; O'Sullivan F; Abramson RG; Jafari-Khouzani K; Afzal A; Tudorica A; Moloney B; Gupta SN; Besa C; Kalpathy-Cramer J; Mountz JM; Laymon CM; Muzi M; Schmainda K; Cao Y; Chenevert TL; Taouli B; Yankeelov TE; Fennessy F; Li X
    Tomography; 2016 Mar; 2(1):56-66. PubMed ID: 27200418
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
    Fedorov A; Fluckiger J; Ayers GD; Li X; Gupta SN; Tempany C; Mulkern R; Yankeelov TE; Fennessy FM
    Magn Reson Imaging; 2014 May; 32(4):321-9. PubMed ID: 24560287
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.
    Mazaheri Y; Kim N; Lakhman Y; Jafari R; Vargas A; Otazo R
    NMR Biomed; 2022 Jul; 35(7):e4718. PubMed ID: 35226774
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.
    Mendichovszky IA; Cutajar M; Gordon I
    Eur J Radiol; 2009 Sep; 71(3):576-81. PubMed ID: 19004588
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating the arterial input function from dynamic contrast-enhanced MRI data with compensation for flow enhancement (II): Applications in spine diagnostics and assessment of crohn's disease.
    van Schie JJN; Lavini C; van Vliet LJ; Kramer G; Pieters-van den Bos I; Marcus JT; Stoker J; Vos FM
    J Magn Reson Imaging; 2018 May; 47(5):1197-1204. PubMed ID: 29193469
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A simulation study comparing nine mathematical models of arterial input function for dynamic contrast enhanced MRI to the Parker model.
    He D; Xu L; Qian W; Clarke J; Fan X
    Australas Phys Eng Sci Med; 2018 Jun; 41(2):507-518. PubMed ID: 29569210
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.
    Azahaf M; Haberlay M; Betrouni N; Ernst O; Behal H; Duhamel A; Ouzzane A; Puech P
    J Magn Reson Imaging; 2016 Mar; 43(3):737-49. PubMed ID: 26303794
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.
    Kang KM; Choi SH; Chul-Kee P; Kim TM; Park SH; Lee JH; Lee ST; Hwang I; Yoo RE; Yun TJ; Kim JH; Sohn CH
    Eur Radiol; 2021 Dec; 31(12):9098-9109. PubMed ID: 34003350
    [TBL] [Abstract][Full Text] [Related]  

  • 18. T2*-correction in dynamic contrast-enhanced MRI from double-echo acquisitions.
    Kleppestø M; Larsson C; Groote I; Salo R; Vardal J; Courivaud F; Bjørnerud A
    J Magn Reson Imaging; 2014 May; 39(5):1314-9. PubMed ID: 24123598
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact of contrast agent injection duration on dynamic contrast-enhanced MRI quantification in prostate cancer.
    Klawer EME; van Houdt PJ; Pos FJ; Heijmink SWTPJ; van Osch MJP; van der Heide UA
    NMR Biomed; 2018 Sep; 31(9):e3946. PubMed ID: 29974981
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.
    Choi KS; You SH; Han Y; Ye JC; Jeong B; Choi SH
    Radiology; 2020 Oct; 297(1):178-188. PubMed ID: 32749203
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.