BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 33594116)

  • 1. Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma.
    Hu LS; Wang L; Hawkins-Daarud A; Eschbacher JM; Singleton KW; Jackson PR; Clark-Swanson K; Sereduk CP; Peng S; Wang P; Wang J; Baxter LC; Smith KA; Mazza GL; Stokes AM; Bendok BR; Zimmerman RS; Krishna C; Porter AB; Mrugala MM; Hoxworth JM; Wu T; Tran NL; Swanson KR; Li J
    Sci Rep; 2021 Feb; 11(1):3932. PubMed ID: 33594116
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiogenomics to characterize regional genetic heterogeneity in glioblastoma.
    Hu LS; Ning S; Eschbacher JM; Baxter LC; Gaw N; Ranjbar S; Plasencia J; Dueck AC; Peng S; Smith KA; Nakaji P; Karis JP; Quarles CC; Wu T; Loftus JC; Jenkins RB; Sicotte H; Kollmeyer TM; O'Neill BP; Elmquist W; Hoxworth JM; Frakes D; Sarkaria J; Swanson KR; Tran NL; Li J; Mitchell JR
    Neuro Oncol; 2017 Jan; 19(1):128-137. PubMed ID: 27502248
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
    Wang L; Wang H; D'Angelo F; Curtin L; Sereduk CP; Leon G; Singleton KW; Urcuyo J; Hawkins-Daarud A; Jackson PR; Krishna C; Zimmerman RS; Patra DP; Bendok BR; Smith KA; Nakaji P; Donev K; Baxter LC; Mrugała MM; Ceccarelli M; Iavarone A; Swanson KR; Tran NL; Hu LS; Li J
    PLoS One; 2024; 19(4):e0299267. PubMed ID: 38568950
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
    Liao X; Cai B; Tian B; Luo Y; Song W; Li Y
    J Cell Mol Med; 2019 Jun; 23(6):4375-4385. PubMed ID: 31001929
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.
    Kickingereder P; Bonekamp D; Nowosielski M; Kratz A; Sill M; Burth S; Wick A; Eidel O; Schlemmer HP; Radbruch A; Debus J; Herold-Mende C; Unterberg A; Jones D; Pfister S; Wick W; von Deimling A; Bendszus M; Capper D
    Radiology; 2016 Dec; 281(3):907-918. PubMed ID: 27636026
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting epidermal growth factor receptor gene amplification status in glioblastoma multiforme by quantitative enhancement and necrosis features deriving from conventional magnetic resonance imaging.
    Dong F; Zeng Q; Jiang B; Yu X; Wang W; Xu J; Yu J; Li Q; Zhang M
    Medicine (Baltimore); 2018 May; 97(21):e10833. PubMed ID: 29794775
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noninvasive O
    Hajianfar G; Shiri I; Maleki H; Oveisi N; Haghparast A; Abdollahi H; Oveisi M
    World Neurosurg; 2019 Dec; 132():e140-e161. PubMed ID: 31505292
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.
    Cao H; Erson-Omay EZ; Li X; Günel M; Moliterno J; Fulbright RK
    Eur Radiol; 2020 Jun; 30(6):3073-3082. PubMed ID: 32025832
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
    Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
    Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma.
    Liu X; Mangla R; Tian W; Qiu X; Li D; Walter KA; Ekholm S; Johnson MD
    J Neurooncol; 2017 Dec; 135(3):553-560. PubMed ID: 28889246
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.
    Fathi Kazerooni A; Bakas S; Saligheh Rad H; Davatzikos C
    J Magn Reson Imaging; 2020 Jul; 52(1):54-69. PubMed ID: 31456318
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics for precision medicine in glioblastoma.
    Aftab K; Aamir FB; Mallick S; Mubarak F; Pope WB; Mikkelsen T; Rock JP; Enam SA
    J Neurooncol; 2022 Jan; 156(2):217-231. PubMed ID: 35020109
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Imaging of intratumoral heterogeneity in high-grade glioma.
    Hu LS; Hawkins-Daarud A; Wang L; Li J; Swanson KR
    Cancer Lett; 2020 May; 477():97-106. PubMed ID: 32112907
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.
    Binder ZA; Thorne AH; Bakas S; Wileyto EP; Bilello M; Akbari H; Rathore S; Ha SM; Zhang L; Ferguson CJ; Dahiya S; Bi WL; Reardon DA; Idbaih A; Felsberg J; Hentschel B; Weller M; Bagley SJ; Morrissette JJD; Nasrallah MP; Ma J; Zanca C; Scott AM; Orellana L; Davatzikos C; Furnari FB; O'Rourke DM
    Cancer Cell; 2018 Jul; 34(1):163-177.e7. PubMed ID: 29990498
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging.
    Li Y; Liang Y; Sun Z; Xu K; Fan X; Li S; Zhang Z; Jiang T; Liu X; Wang Y
    Neuroradiology; 2019 Nov; 61(11):1229-1237. PubMed ID: 31218383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI.
    Gaw N; Hawkins-Daarud A; Hu LS; Yoon H; Wang L; Xu Y; Jackson PR; Singleton KW; Baxter LC; Eschbacher J; Gonzales A; Nespodzany A; Smith K; Nakaji P; Mitchell JR; Wu T; Swanson KR; Li J
    Sci Rep; 2019 Jul; 9(1):10063. PubMed ID: 31296889
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models.
    Zinn PO; Singh SK; Kotrotsou A; Hassan I; Thomas G; Luedi MM; Elakkad A; Elshafeey N; Idris T; Mosley J; Gumin J; Fuller GN; de Groot JF; Baladandayuthapani V; Sulman EP; Kumar AJ; Sawaya R; Lang FF; Piwnica-Worms D; Colen RR
    Clin Cancer Res; 2018 Dec; 24(24):6288-6299. PubMed ID: 30054278
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Editorial comment: Radiogenomics of glioblastoma: shifting the focus from tumor cells to immune microenvironment.
    Politi LS; Levi R
    Eur Radiol; 2023 Jan; 33(1):207-208. PubMed ID: 36305901
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Imaging genomics of Glioblastoma: state of the art bridge between genomics and neuroradiology.
    ElBanan MG; Amer AM; Zinn PO; Colen RR
    Neuroimaging Clin N Am; 2015 Feb; 25(1):141-53. PubMed ID: 25476518
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.