BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 23202049)

  • 1. Towards MIB-1 and p53 detection in glioma magnetic resonance image: a novel computational image analysis method.
    Liu C; Zhang H; Pan Y; Huang F; Xia S
    Phys Med Biol; 2012 Dec; 57(24):8393-404. PubMed ID: 23202049
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.
    Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH
    Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust texture features for response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: a preliminary investigation in terms of identification and segmentation.
    Assefa D; Keller H; Ménard C; Laperriere N; Ferrari RJ; Yeung I
    Med Phys; 2010 Apr; 37(4):1722-36. PubMed ID: 20443493
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Correlation between loss of heterozygosity on chromosome 1p and 19q and expression of MGMT, p53 and Ki-67 proteins in gliomas].
    Huang L; Jiang T; Yuan F; Li GL; Xu LX; Cui Y
    Zhonghua Zhong Liu Za Zhi; 2011 Oct; 33(10):752-8. PubMed ID: 22335907
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
    Yang Y; Yan LF; Zhang X; Nan HY; Hu YC; Han Y; Zhang J; Liu ZC; Sun YZ; Tian Q; Yu Y; Sun Q; Wang SY; Zhang X; Wang W; Cui GB
    J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods.
    Georgiadis P; Cavouras D; Kalatzis I; Glotsos D; Athanasiadis E; Kostopoulos S; Sifaki K; Malamas M; Nikiforidis G; Solomou E
    Magn Reson Imaging; 2009 Jan; 27(1):120-30. PubMed ID: 18602785
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Contrast/Noise ratio on conventional MRI and choline/creatine ratio on proton MRI spectroscopy accurately discriminate low-grade from high-grade cerebral gliomas.
    Fayed N; Morales H; Modrego PJ; Pina MA
    Acad Radiol; 2006 Jun; 13(6):728-37. PubMed ID: 16679275
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomic prediction models for the level of Ki-67 and p53 in glioma.
    Sun X; Pang P; Lou L; Feng Q; Ding Z; Zhou J
    J Int Med Res; 2020 May; 48(5):300060520914466. PubMed ID: 32431205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Correlation between choline and MIB-1 index in human gliomas. A quantitative in proton MR spectroscopy study.
    Matsumura A; Isobe T; Anno I; Takano S; Kawamura H
    J Clin Neurosci; 2005 May; 12(4):416-20. PubMed ID: 15925772
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Primary and metastatic intraaxial brain tumors: prospective comparison of multivoxel 2D chemical-shift imaging (CSI) proton MR spectroscopy, perfusion MRI, and histopathological findings in a group of 159 patients.
    Bendini M; Marton E; Feletti A; Rossi S; Curtolo S; Inches I; Ronzon M; Longatti P; Di Paola F
    Acta Neurochir (Wien); 2011 Feb; 153(2):403-12. PubMed ID: 21165751
    [TBL] [Abstract][Full Text] [Related]  

  • 11. High-order radiomics features based on T2 FLAIR MRI predict multiple glioma immunohistochemical features: A more precise and personalized gliomas management.
    Li J; Liu S; Qin Y; Zhang Y; Wang N; Liu H
    PLoS One; 2020; 15(1):e0227703. PubMed ID: 31968004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.
    Ranjith G; Parvathy R; Vikas V; Chandrasekharan K; Nair S
    Neuroradiol J; 2015 Apr; 28(2):106-11. PubMed ID: 25923676
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic glioma characterization from dynamic susceptibility contrast imaging: brain tumor segmentation using knowledge-based fuzzy clustering.
    Emblem KE; Nedregaard B; Hald JK; Nome T; Due-Tonnessen P; Bjornerud A
    J Magn Reson Imaging; 2009 Jul; 30(1):1-10. PubMed ID: 19557840
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Myxopapillary ependymomas: a clinicopathologic study of 14 cases including MIB-1 and p53 immunoreactivity.
    Prayson RA
    Mod Pathol; 1997 Apr; 10(4):304-10. PubMed ID: 9110291
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.
    Li Y; Qian Z; Xu K; Wang K; Fan X; Li S; Jiang T; Liu X; Wang Y
    Neuroimage Clin; 2018; 17():306-311. PubMed ID: 29527478
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging.
    Drabycz S; Roldán G; de Robles P; Adler D; McIntyre JB; Magliocco AM; Cairncross JG; Mitchell JR
    Neuroimage; 2010 Jan; 49(2):1398-405. PubMed ID: 19796694
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
    Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bcl-2 protein expression is associated with p27 and p53 protein expressions and MIB-1 counts in breast cancer.
    Tsutsui S; Yasuda K; Suzuki K; Takeuchi H; Nishizaki T; Higashi H; Era S
    BMC Cancer; 2006 Jul; 6():187. PubMed ID: 16839413
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rapid immunohistochemistry based on alternating current electric field for intraoperative diagnosis of brain tumors.
    Tanino M; Sasajima T; Nanjo H; Akesaka S; Kagaya M; Kimura T; Ishida Y; Oda M; Takahashi M; Sugawara T; Yoshioka T; Nishihara H; Akagami Y; Goto A; Minamiya Y; Tanaka S;
    Brain Tumor Pathol; 2015 Jan; 32(1):12-9. PubMed ID: 24807101
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SVM-based glioma grading: Optimization by feature reduction analysis.
    Zöllner FG; Emblem KE; Schad LR
    Z Med Phys; 2012 Sep; 22(3):205-14. PubMed ID: 22503911
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.