166 related articles for article (PubMed ID: 28404971)
1. Association between tumor architecture derived from generalized Q-space MRI and survival in glioblastoma.
Taylor EN; Ding Y; Zhu S; Cheah E; Alexander P; Lin L; Aninwene GE; Hoffman MP; Mahajan A; Mohamed ASR; McDannold N; Fuller CD; Chen CC; Gilbert RJ
Oncotarget; 2017 Jun; 8(26):41815-41826. PubMed ID: 28404971
[TBL] [Abstract][Full Text] [Related]
2. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.
Nicolasjilwan M; Hu Y; Yan C; Meerzaman D; Holder CA; Gutman D; Jain R; Colen R; Rubin DL; Zinn PO; Hwang SN; Raghavan P; Hammoud DA; Scarpace LM; Mikkelsen T; Chen J; Gevaert O; Buetow K; Freymann J; Kirby J; Flanders AE; Wintermark M;
J Neuroradiol; 2015 Jul; 42(4):212-21. PubMed ID: 24997477
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma.
Cui Y; Ren S; Tha KK; Wu J; Shirato H; Li R
Eur Radiol; 2017 Sep; 27(9):3583-3592. PubMed ID: 28168370
[TBL] [Abstract][Full Text] [Related]
5. A Cellular Ground Truth to Develop MRI Signatures in Glioma Models by Correlative Light Sheet Microscopy and Atlas-Based Coregistration.
Schregel K; Heinz L; Hunger J; Pan C; Bode J; Fischer M; Sturm V; Venkataramani V; Karimian-Jazi K; Agardy DA; Streibel Y; Zerelles R; Wick W; Heiland S; Bunse T; Tews B; Platten M; Winkler F; Bendszus M; Breckwoldt MO
J Neurosci; 2023 Jul; 43(30):5574-5587. PubMed ID: 37429718
[TBL] [Abstract][Full Text] [Related]
6. A fully automatic extraction of magnetic resonance image features in glioblastoma patients.
Zhang J; Barboriak DP; Hobbs H; Mazurowski MA
Med Phys; 2014 Apr; 41(4):042301. PubMed ID: 24694151
[TBL] [Abstract][Full Text] [Related]
7. The TERT promoter mutation status and MGMT promoter methylation status, combined with dichotomized MRI-derived and clinical features, predict adult primary glioblastoma survival.
Shu C; Wang Q; Yan X; Wang J
Cancer Med; 2018 Aug; 7(8):3704-3712. PubMed ID: 29984907
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma.
Yang D; Rao G; Martinez J; Veeraraghavan A; Rao A
Med Phys; 2015 Nov; 42(11):6725-35. PubMed ID: 26520762
[TBL] [Abstract][Full Text] [Related]
10. Prognostic Value of Dynamic Contrast-Enhanced MRI-Derived Pharmacokinetic Variables in Glioblastoma Patients: Analysis of Contrast-Enhancing Lesions and Non-Enhancing T2 High-Signal Intensity Lesions.
Kang Y; Hong EK; Rhim JH; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH; Park SW; Choi SH
Korean J Radiol; 2020 Jun; 21(6):707-716. PubMed ID: 32410409
[TBL] [Abstract][Full Text] [Related]
11. Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging.
Liu S; Wang Y; Xu K; Wang Z; Fan X; Zhang C; Li S; Qiu X; Jiang T
Sci Rep; 2017 Aug; 7(1):8302. PubMed ID: 28814802
[TBL] [Abstract][Full Text] [Related]
12. Association of overall survival in patients with newly diagnosed glioblastoma with contrast-enhanced perfusion MRI: Comparison of intraindividually matched T1 - and T2 (*) -based bolus techniques.
Bonekamp D; Deike K; Wiestler B; Wick W; Bendszus M; Radbruch A; Heiland S
J Magn Reson Imaging; 2015 Jul; 42(1):87-96. PubMed ID: 25244574
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Extent of resection of peritumoral diffusion tensor imaging-detected abnormality as a predictor of survival in adult glioblastoma patients.
Yan JL; van der Hoorn A; Larkin TJ; Boonzaier NR; Matys T; Price SJ
J Neurosurg; 2017 Jan; 126(1):234-241. PubMed ID: 27058207
[TBL] [Abstract][Full Text] [Related]
15. Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.
Wangaryattawanich P; Hatami M; Wang J; Thomas G; Flanders A; Kirby J; Wintermark M; Huang ES; Bakhtiari AS; Luedi MM; Hashmi SS; Rubin DL; Chen JY; Hwang SN; Freymann J; Holder CA; Zinn PO; Colen RR
Neuro Oncol; 2015 Nov; 17(11):1525-37. PubMed ID: 26203066
[TBL] [Abstract][Full Text] [Related]
16. Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab.
Chang K; Zhang B; Guo X; Zong M; Rahman R; Sanchez D; Winder N; Reardon DA; Zhao B; Wen PY; Huang RY
Neuro Oncol; 2016 Dec; 18(12):1680-1687. PubMed ID: 27257279
[TBL] [Abstract][Full Text] [Related]
17. Nonenhancing peritumoral hyperintense lesion on diffusion-weighted imaging in glioblastoma: a novel diagnostic and specific prognostic indicator.
Kolakshyapati M; Adhikari RB; Karlowee V; Takayasu T; Nosaka R; Amatya VJ; Takeshima Y; Akiyama Y; Sugiyama K; Kurisu K; Yamasaki F
J Neurosurg; 2018 Mar; 128(3):667-678. PubMed ID: 28362236
[TBL] [Abstract][Full Text] [Related]
18. Correlation of apparent diffusion coefficient values measured by diffusion MRI and MGMT promoter methylation semiquantitatively analyzed with MS-MLPA in patients with glioblastoma multiforme.
Sunwoo L; Choi SH; Park CK; Kim JW; Yi KS; Lee WJ; Yoon TJ; Song SW; Kim JE; Kim JY; Kim TM; Lee SH; Kim JH; Sohn CH; Park SH; Kim IH; Chang KH
J Magn Reson Imaging; 2013 Feb; 37(2):351-8. PubMed ID: 23023975
[TBL] [Abstract][Full Text] [Related]
19. Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.
Jayachandran Preetha C; Meredig H; Brugnara G; Mahmutoglu MA; Foltyn M; Isensee F; Kessler T; Pflüger I; Schell M; Neuberger U; Petersen J; Wick A; Heiland S; Debus J; Platten M; Idbaih A; Brandes AA; Winkler F; van den Bent MJ; Nabors B; Stupp R; Maier-Hein KH; Gorlia T; Tonn JC; Weller M; Wick W; Bendszus M; Vollmuth P
Lancet Digit Health; 2021 Dec; 3(12):e784-e794. PubMed ID: 34688602
[TBL] [Abstract][Full Text] [Related]
20. Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.
Burth S; Kickingereder P; Eidel O; Tichy D; Bonekamp D; Weberling L; Wick A; Löw S; Hertenstein A; Nowosielski M; Schlemmer HP; Wick W; Bendszus M; Radbruch A
Neuro Oncol; 2016 Dec; 18(12):1673-1679. PubMed ID: 27298312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]