BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

484 related articles for article (PubMed ID: 31546124)

  • 1. Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics.
    Choi Y; Ahn KJ; Nam Y; Jang J; Shin NY; Choi HS; Jung SL; Kim BS
    Eur J Radiol; 2019 Nov; 120():108642. PubMed ID: 31546124
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionals.
    Choi Y; Ahn KJ; Nam Y; Jang J; Shin NY; Choi HS; Jung SL; Kim BS
    PLoS One; 2019; 14(5):e0217785. PubMed ID: 31150499
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
    Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
    Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma.
    Kickingereder P; Neuberger U; Bonekamp D; Piechotta PL; Götz M; Wick A; Sill M; Kratz A; Shinohara RT; Jones DTW; Radbruch A; Muschelli J; Unterberg A; Debus J; Schlemmer HP; Herold-Mende C; Pfister S; von Deimling A; Wick W; Capper D; Maier-Hein KH; Bendszus M
    Neuro Oncol; 2018 May; 20(6):848-857. PubMed ID: 29036412
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
    Chaddad A; Sabri S; Niazi T; Abdulkarim B
    Med Biol Eng Comput; 2018 Dec; 56(12):2287-2300. PubMed ID: 29915951
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study.
    Verma R; Hill VB; Statsevych V; Bera K; Correa R; Leo P; Ahluwalia M; Madabhushi A; Tiwari P
    AJNR Am J Neuroradiol; 2022 Aug; 43(8):1115-1123. PubMed ID: 36920774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
    Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
    Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models.
    Kickingereder P; Burth S; Wick A; Götz M; Eidel O; Schlemmer HP; Maier-Hein KH; Wick W; Bendszus M; Radbruch A; Bonekamp D
    Radiology; 2016 Sep; 280(3):880-9. PubMed ID: 27326665
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
    Beig N; Bera K; Prasanna P; Antunes J; Correa R; Singh S; Saeed Bamashmos A; Ismail M; Braman N; Verma R; Hill VB; Statsevych V; Ahluwalia MS; Varadan V; Madabhushi A; Tiwari P
    Clin Cancer Res; 2020 Apr; 26(8):1866-1876. PubMed ID: 32079590
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.
    Kim JY; Yoon MJ; Park JE; Choi EJ; Lee J; Kim HS
    Neuroradiology; 2019 Nov; 61(11):1261-1272. PubMed ID: 31289886
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models.
    Choi Y; Nam Y; Jang J; Shin NY; Lee YS; Ahn KJ; Kim BS; Park JS; Jeon SS; Hong YG
    Eur Radiol; 2021 Apr; 31(4):2084-2093. PubMed ID: 33006658
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors.
    Tan Y; Mu W; Wang XC; Yang GQ; Gillies RJ; Zhang H
    Eur J Radiol; 2019 Nov; 120():108609. PubMed ID: 31606714
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma.
    Ingrisch M; Schneider MJ; Nörenberg D; Negrao de Figueiredo G; Maier-Hein K; Suchorska B; Schüller U; Albert N; Brückmann H; Reiser M; Tonn JC; Ertl-Wagner B
    Invest Radiol; 2017 Jun; 52(6):360-366. PubMed ID: 28079702
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.
    Wei J; Yang G; Hao X; Gu D; Tan Y; Wang X; Dong D; Zhang S; Wang L; Zhang H; Tian J
    Eur Radiol; 2019 Feb; 29(2):877-888. PubMed ID: 30039219
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
    Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
    Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomic MRI Phenotyping of Glioblastoma: Improving Survival Prediction.
    Bae S; Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Radiology; 2018 Dec; 289(3):797-806. PubMed ID: 30277442
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Survival Outcome Prediction in Glioblastoma: Insights from MRI Radiomics.
    Styliara EI; Astrakas LG; Alexiou G; Xydis VG; Zikou A; Kafritsas G; Voulgaris S; Argyropoulou MI
    Curr Oncol; 2024 Apr; 31(4):2233-2243. PubMed ID: 38668068
    [No Abstract]   [Full Text] [Related]  

  • 19. Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI.
    Pak E; Choi KS; Choi SH; Park CK; Kim TM; Park SH; Lee JH; Lee ST; Hwang I; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH
    Korean J Radiol; 2021 Sep; 22(9):1514-1524. PubMed ID: 34269536
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Morphological MRI-based features provide pretreatment survival prediction in glioblastoma.
    Pérez-Beteta J; Molina-García D; Martínez-González A; Henares-Molina A; Amo-Salas M; Luque B; Arregui E; Calvo M; Borrás JM; Martino J; Velásquez C; Meléndez-Asensio B; de Lope ÁR; Moreno R; Barcia JA; Asenjo B; Benavides M; Herruzo I; Lara PC; Cabrera R; Albillo D; Navarro M; Pérez-Romasanta LA; Revert A; Arana E; Pérez-García VM
    Eur Radiol; 2019 Apr; 29(4):1968-1977. PubMed ID: 30324390
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.