BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 22014954)

  • 1. Dynamic contrast-enhanced MRI of cervical cancers: temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance.
    Andersen EK; Hole KH; Lund KV; Sundfør K; Kristensen GB; Lyng H; Malinen E
    Int J Radiat Oncol Biol Phys; 2012 Mar; 82(3):e485-92. PubMed ID: 22014954
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pharmacokinetic parameters derived from dynamic contrast enhanced MRI of cervical cancers predict chemoradiotherapy outcome.
    Andersen EK; Hole KH; Lund KV; Sundfør K; Kristensen GB; Lyng H; Malinen E
    Radiother Oncol; 2013 Apr; 107(1):117-22. PubMed ID: 23333024
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging measurements predict radiation response in cervix cancer.
    Zahra MA; Tan LT; Priest AN; Graves MJ; Arends M; Crawford RA; Brenton JD; Lomas DJ; Sala E
    Int J Radiat Oncol Biol Phys; 2009 Jul; 74(3):766-73. PubMed ID: 19019563
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Longitudinal changes in tumor perfusion pattern during the radiation therapy course and its clinical impact in cervical cancer.
    Mayr NA; Wang JZ; Zhang D; Grecula JC; Lo SS; Jaroura D; Montebello J; Zhang H; Li K; Lu L; Huang Z; Fowler JM; Wu DH; Knopp MV; Yuh WT
    Int J Radiat Oncol Biol Phys; 2010 Jun; 77(2):502-8. PubMed ID: 19775824
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Voxelwise comparison of perfusion parameters estimated using dynamic contrast enhanced (DCE) computed tomography and DCE-magnetic resonance imaging in locally advanced cervical cancer.
    Kallehauge J; Nielsen T; Haack S; Peters DA; Mohamed S; Fokdal L; Lindegaard JC; Hansen DC; Rasmussen F; Tanderup K; Pedersen EM
    Acta Oncol; 2013 Oct; 52(7):1360-8. PubMed ID: 24003852
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pharmacokinetic analysis and k-means clustering of DCEMR images for radiotherapy outcome prediction of advanced cervical cancers.
    Andersen EK; Kristensen GB; Lyng H; Malinen E
    Acta Oncol; 2011 Aug; 50(6):859-65. PubMed ID: 21767185
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of tumor control in patients with cervical cancer: analysis of combined volume and dynamic enhancement pattern by MR imaging.
    Mayr NA; Yuh WT; Zheng J; Ehrhardt JC; Magnotta VA; Sorosky JI; Pelsang RE; Oberley LW; Hussey DH
    AJR Am J Roentgenol; 1998 Jan; 170(1):177-82. PubMed ID: 9423627
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of hypoxia in human cervical carcinoma xenografts by dynamic contrast-enhanced magnetic resonance imaging.
    Ellingsen C; Egeland TA; Gulliksrud K; Gaustad JV; Mathiesen B; Rofstad EK
    Int J Radiat Oncol Biol Phys; 2009 Mar; 73(3):838-45. PubMed ID: 19215820
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Patterns of spread in node-positive cervical cancer: the relationship between local control and distant metastases.
    Stock RG; Chen AS; Karasek K
    Cancer J Sci Am; 1996; 2(5):256-62. PubMed ID: 9166542
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Adenosquamous histology predicts a poor outcome for patients with advanced-stage, but not early-stage, cervical carcinoma.
    Farley JH; Hickey KW; Carlson JW; Rose GS; Kost ER; Harrison TA
    Cancer; 2003 May; 97(9):2196-202. PubMed ID: 12712471
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI.
    Johansen R; Jensen LR; Rydland J; Goa PE; Kvistad KA; Bathen TF; Axelson DE; Lundgren S; Gribbestad IS
    J Magn Reson Imaging; 2009 Jun; 29(6):1300-7. PubMed ID: 19472387
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tumor vascularity--a novel prognostic factor in advanced cervical carcinoma.
    Schlenger K; Höckel M; Mitze M; Schäffer U; Weikel W; Knapstein PG; Lambert A
    Gynecol Oncol; 1995 Oct; 59(1):57-66. PubMed ID: 7557616
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Synergistic effects of hemoglobin and tumor perfusion on tumor control and survival in cervical cancer.
    Mayr NA; Wang JZ; Zhang D; Montebello JF; Grecula JC; Lo SS; Fowler JM; Yuh WT
    Int J Radiat Oncol Biol Phys; 2009 Aug; 74(5):1513-21. PubMed ID: 19286329
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pharmacokinetic analysis of DCE-MRI data of locally advanced cervical carcinoma with the Brix model.
    Lund KV; Simonsen TG; Kristensen GB; Rofstad EK
    Acta Oncol; 2019 Jun; 58(6):828-837. PubMed ID: 30810443
    [No Abstract]   [Full Text] [Related]  

  • 16. Association between cigarette smoking and prognosis in locally advanced cervical carcinoma treated with chemoradiation: a Gynecologic Oncology Group study.
    Waggoner SE; Darcy KM; Fuhrman B; Parham G; Lucci J; Monk BJ; Moore DH;
    Gynecol Oncol; 2006 Dec; 103(3):853-8. PubMed ID: 16815535
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Usefulness of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the diagnosis of prostate transition-zone cancer.
    Yoshizako T; Wada A; Hayashi T; Uchida K; Sumura M; Uchida N; Kitagaki H; Igawa M
    Acta Radiol; 2008 Dec; 49(10):1207-13. PubMed ID: 19031184
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An exploratory study into the role of dynamic contrast-enhanced (DCE) MRI metrics as predictors of response in head and neck cancers.
    Agrawal S; Awasthi R; Singh A; Haris M; Gupta RK; Rathore RK
    Clin Radiol; 2012 Sep; 67(9):e1-5. PubMed ID: 22583950
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Capillary permeability and extracellular volume fraction in uterine cervical cancer as patient outcome predictors: measurements by using dynamic MRI spin-lattice relaxometry.
    Dedieu V; Bailly C; Vincent C; Achard JL; Le Bouedec G; Penault-Llorca F; Verrelle P; Vincensini D
    J Magn Reson Imaging; 2008 Apr; 27(4):846-53. PubMed ID: 18383262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Correlations between dynamic contrast-enhanced magnetic resonance imaging-derived measures of tumor microvasculature and interstitial fluid pressure in patients with cervical cancer.
    Haider MA; Sitartchouk I; Roberts TP; Fyles A; Hashmi AT; Milosevic M
    J Magn Reson Imaging; 2007 Jan; 25(1):153-9. PubMed ID: 17173303
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.