BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

231 related articles for article (PubMed ID: 30657997)

  • 1. Guiding the first biopsy in glioma patients using estimated Ki-67 maps derived from MRI: conventional versus advanced imaging.
    Gates EDH; Lin JS; Weinberg JS; Hamilton J; Prabhu SS; Hazle JD; Fuller GN; Baladandayuthapani V; Fuentes D; Schellingerhout D
    Neuro Oncol; 2019 Mar; 21(4):527-536. PubMed ID: 30657997
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Imaging-Based Algorithm for the Local Grading of Glioma.
    Gates EDH; Lin JS; Weinberg JS; Prabhu SS; Hamilton J; Hazle JD; Fuller GN; Baladandayuthapani V; Fuentes DT; Schellingerhout D
    AJNR Am J Neuroradiol; 2020 Mar; 41(3):400-407. PubMed ID: 32029466
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimating Local Cellular Density in Glioma Using MR Imaging Data.
    Gates EDH; Weinberg JS; Prabhu SS; Lin JS; Hamilton J; Hazle JD; Fuller GN; Baladandayuthapani V; Fuentes DT; Schellingerhout D
    AJNR Am J Neuroradiol; 2021 Jan; 42(1):102-108. PubMed ID: 33243897
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI.
    Fathi Kazerooni A; Nabil M; Zeinali Zadeh M; Firouznia K; Azmoudeh-Ardalan F; Frangi AF; Davatzikos C; Saligheh Rad H
    J Magn Reson Imaging; 2018 Oct; 48(4):938-950. PubMed ID: 29412496
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Glioma grading using a machine-learning framework based on optimized features obtained from T
    Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
    Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
    Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.
    Yan R; Haopeng P; Xiaoyuan F; Jinsong W; Jiawen Z; Chengjun Y; Tianming Q; Ji X; Mao S; Yueyue D; Yong Z; Jianfeng L; Zhenwei Y
    Neuroradiology; 2016 Feb; 58(2):121-32. PubMed ID: 26494463
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The clinical utility of multimodal MR image-guided needle biopsy in cerebral gliomas.
    Yao C; Lv S; Chen H; Tang W; Guo J; Zhuang D; Chrisochoides N; Wu J; Mao Y; Zhou L
    Int J Neurosci; 2016; 126(1):53-61. PubMed ID: 25539452
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Biopsy targeting gliomas: do functional imaging techniques identify similar target areas?
    Weber MA; Henze M; Tüttenberg J; Stieltjes B; Meissner M; Zimmer F; Burkholder I; Kroll A; Combs SE; Vogt-Schaden M; Giesel FL; Zoubaa S; Haberkorn U; Kauczor HU; Essig M
    Invest Radiol; 2010 Dec; 45(12):755-68. PubMed ID: 20829706
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DCE-MRI in Human Gliomas: A Surrogate for Assessment of Invasive Hypoxia Marker HIF-1Α Based on MRI-Neuronavigation Stereotactic Biopsies.
    Xie Q; Wu J; Du Z; Di N; Yan R; Pang H; Jin T; Zhang H; Wu Y; Zhang Y; Yao Z; Feng X
    Acad Radiol; 2019 Feb; 26(2):179-187. PubMed ID: 29754996
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.
    Hoxworth JM; Eschbacher JM; Gonzales AC; Singleton KW; Leon GD; Smith KA; Stokes AM; Zhou Y; Mazza GL; Porter AB; Mrugala MM; Zimmerman RS; Bendok BR; Patra DP; Krishna C; Boxerman JL; Baxter LC; Swanson KR; Quarles CC; Schmainda KM; Hu LS
    AJNR Am J Neuroradiol; 2020 Mar; 41(3):408-415. PubMed ID: 32165359
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Perfusion imaging of brain gliomas using arterial spin labeling: correlation with histopathological vascular density in MRI-guided biopsies.
    Ningning D; Haopeng P; Xuefei D; Wenna C; Yan R; Jingsong W; Chengjun Y; Zhenwei Y; Xiaoyuan F
    Neuroradiology; 2017 Jan; 59(1):51-59. PubMed ID: 27924360
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Amide proton transfer-weighted magnetic resonance image-guided stereotactic biopsy in patients with newly diagnosed gliomas.
    Jiang S; Eberhart CG; Zhang Y; Heo HY; Wen Z; Blair L; Qin H; Lim M; Quinones-Hinojosa A; Weingart JD; Barker PB; Pomper MG; Laterra J; van Zijl PCM; Blakeley JO; Zhou J
    Eur J Cancer; 2017 Sep; 83():9-18. PubMed ID: 28704644
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
    Alis D; Bagcilar O; Senli YD; Yergin M; Isler C; Kocer N; Islak C; Kizilkilic O
    Jpn J Radiol; 2020 Feb; 38(2):135-143. PubMed ID: 31741126
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.
    Takahashi S; Takahashi W; Tanaka S; Haga A; Nakamoto T; Suzuki Y; Mukasa A; Takayanagi S; Kitagawa Y; Hana T; Nejo T; Nomura M; Nakagawa K; Saito N
    Int J Radiat Oncol Biol Phys; 2019 Nov; 105(4):784-791. PubMed ID: 31344432
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Whole-tumor histogram analysis of the cerebral blood volume map: tumor volume defined by 11C-methionine positron emission tomography image improves the diagnostic accuracy of cerebral glioma grading.
    Wu R; Watanabe Y; Arisawa A; Takahashi H; Tanaka H; Fujimoto Y; Watabe T; Isohashi K; Hatazawa J; Tomiyama N
    Jpn J Radiol; 2017 Oct; 35(10):613-621. PubMed ID: 28879406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Spatial distribution of malignant tissue in gliomas: correlations of 11C-L-methionine positron emission tomography and perfusion- and diffusion-weighted magnetic resonance imaging.
    Tietze A; Boldsen JK; Mouridsen K; Ribe L; Dyve S; Cortnum S; Østergaard L; Borghammer P
    Acta Radiol; 2015 Sep; 56(9):1135-44. PubMed ID: 25270372
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can dynamic contrast-enhanced MRI evaluate VEGF expression in brain glioma? An MRI-guided stereotactic biopsy study.
    Di N; Cheng W; Jiang X; Liu X; Zhou J; Xie Q; Chu Z; Chen H; Wang B
    J Neuroradiol; 2019 May; 46(3):186-192. PubMed ID: 29752976
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.