359 related articles for article (PubMed ID: 24827998)
1. Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.
Gevaert O; Mitchell LA; Achrol AS; Xu J; Echegaray S; Steinberg GK; Cheshier SH; Napel S; Zaharchuk G; Plevritis SK
Radiology; 2014 Oct; 273(1):168-74. PubMed ID: 24827998
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.
Gutman DA; Cooper LA; Hwang SN; Holder CA; Gao J; Aurora TD; Dunn WD; Scarpace L; Mikkelsen T; Jain R; Wintermark M; Jilwan M; Raghavan P; Huang E; Clifford RJ; Mongkolwat P; Kleper V; Freymann J; Kirby J; Zinn PO; Moreno CS; Jaffe C; Colen R; Rubin DL; Saltz J; Flanders A; Brat DJ
Radiology; 2013 May; 267(2):560-9. PubMed ID: 23392431
[TBL] [Abstract][Full Text] [Related]
4. Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation.
Jamshidi N; Diehn M; Bredel M; Kuo MD
Radiology; 2014 Jan; 270(1):1-2. PubMed ID: 24056404
[TBL] [Abstract][Full Text] [Related]
5. Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme.
Zinn PO; Mahajan B; Sathyan P; Singh SK; Majumder S; Jolesz FA; Colen RR
PLoS One; 2011; 6(10):e25451. PubMed ID: 21998659
[TBL] [Abstract][Full Text] [Related]
6. Glioblastoma: imaging genomic mapping reveals sex-specific oncogenic associations of cell death.
Colen RR; Wang J; Singh SK; Gutman DA; Zinn PO
Radiology; 2015 Apr; 275(1):215-27. PubMed ID: 25490189
[TBL] [Abstract][Full Text] [Related]
7. Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging.
Barajas RF; Hodgson JG; Chang JS; Vandenberg SR; Yeh RF; Parsa AT; McDermott MW; Berger MS; Dillon WP; Cha S
Radiology; 2010 Feb; 254(2):564-76. PubMed ID: 20093527
[TBL] [Abstract][Full Text] [Related]
8. Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.
Chaddad A; Daniel P; Desrosiers C; Toews M; Abdulkarim B
IEEE J Biomed Health Inform; 2019 Mar; 23(2):795-804. PubMed ID: 29993848
[TBL] [Abstract][Full Text] [Related]
9. Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.
Jain R; Poisson LM; Gutman D; Scarpace L; Hwang SN; Holder CA; Wintermark M; Rao A; Colen RR; Kirby J; Freymann J; Jaffe CC; Mikkelsen T; Flanders A
Radiology; 2014 Aug; 272(2):484-93. PubMed ID: 24646147
[TBL] [Abstract][Full Text] [Related]
10. A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome.
Chaddad A; Desrosiers C; Hassan L; Tanougast C
Br J Radiol; 2016 Dec; 89(1068):20160575. PubMed ID: 27781499
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.
Jajamovich GH; Valiathan CR; Cristescu R; Somayajula S
J Neurooncol; 2016 Sep; 129(2):289-300. PubMed ID: 27393347
[TBL] [Abstract][Full Text] [Related]
14. Computer-extracted MR imaging features are associated with survival in glioblastoma patients.
Mazurowski MA; Zhang J; Peters KB; Hobbs H
J Neurooncol; 2014 Dec; 120(3):483-8. PubMed ID: 25151504
[TBL] [Abstract][Full Text] [Related]
15. A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma.
Rao A; Rao G; Gutman DA; Flanders AE; Hwang SN; Rubin DL; Colen RR; Zinn PO; Jain R; Wintermark M; Kirby JS; Jaffe CC; Freymann J;
J Neurosurg; 2016 Apr; 124(4):1008-17. PubMed ID: 26473782
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Evaluation of tumor shape features for overall survival prognosis in glioblastoma multiforme patients.
Sanghani P; Ti AB; Kam King NK; Ren H
Surg Oncol; 2019 Jun; 29():178-183. PubMed ID: 31196485
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers.
Jain R; Poisson L; Narang J; Gutman D; Scarpace L; Hwang SN; Holder C; Wintermark M; Colen RR; Kirby J; Freymann J; Brat DJ; Jaffe C; Mikkelsen T
Radiology; 2013 Apr; 267(1):212-20. PubMed ID: 23238158
[TBL] [Abstract][Full Text] [Related]
20. Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.
Lee J; Jain R; Khalil K; Griffith B; Bosca R; Rao G; Rao A
AJNR Am J Neuroradiol; 2016 Jan; 37(1):37-43. PubMed ID: 26471746
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]