141 related articles for article (PubMed ID: 38157540)
21. Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.
Lu Y; Patel M; Natarajan K; Ughratdar I; Sanghera P; Jena R; Watts C; Sawlani V
Magn Reson Imaging; 2020 Dec; 74():161-170. PubMed ID: 32980505
[TBL] [Abstract][Full Text] [Related]
22. Noninvasive assessment of isocitrate dehydrogenase mutation status in cerebral gliomas by magnetic resonance spectroscopy in a clinical setting.
Tietze A; Choi C; Mickey B; Maher EA; Parm Ulhøi B; Sangill R; Lassen-Ramshad Y; Lukacova S; Østergaard L; von Oettingen G
J Neurosurg; 2018 Feb; 128(2):391-398. PubMed ID: 28298040
[TBL] [Abstract][Full Text] [Related]
23. Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma.
Hong EK; Choi SH; Shin DJ; Jo SW; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH; Park SH; Won JK; Kim TM; Park CK; Kim IH; Lee ST
Eur Radiol; 2018 Oct; 28(10):4350-4361. PubMed ID: 29721688
[TBL] [Abstract][Full Text] [Related]
24. Distinct Histomorphology in Molecular Subgroups of Glioblastomas in Young Patients.
Neumann JE; Dorostkar MM; Korshunov A; Mawrin C; Koch A; Giese A; Schüller U
J Neuropathol Exp Neurol; 2016 May; 75(5):408-14. PubMed ID: 26975364
[TBL] [Abstract][Full Text] [Related]
25. IDH genotypes differentiation in glioblastomas using DWI and DSC-PWI in the enhancing and peri-enhancing region.
Xing Z; Zhang H; She D; Lin Y; Zhou X; Zeng Z; Cao D
Acta Radiol; 2019 Dec; 60(12):1663-1672. PubMed ID: 31084193
[TBL] [Abstract][Full Text] [Related]
26. Characterization of Diffuse Gliomas With Histone H3-G34 Mutation by MRI and Dynamic 18F-FET PET.
Vettermann FJ; Felsberg J; Reifenberger G; Hasselblatt M; Forbrig R; Berding G; la Fougère C; Galldiks N; Schittenhelm J; Weis J; Albert NL; Schüller U
Clin Nucl Med; 2018 Dec; 43(12):895-898. PubMed ID: 30358620
[TBL] [Abstract][Full Text] [Related]
27. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
28. Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas.
Zhou H; Chang K; Bai HX; Xiao B; Su C; Bi WL; Zhang PJ; Senders JT; Vallières M; Kavouridis VK; Boaro A; Arnaout O; Yang L; Huang RY
J Neurooncol; 2019 Apr; 142(2):299-307. PubMed ID: 30661193
[TBL] [Abstract][Full Text] [Related]
29. Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II-III diffuse gliomas.
Leu K; Ott GA; Lai A; Nghiemphu PL; Pope WB; Yong WH; Liau LM; Cloughesy TF; Ellingson BM
J Neurooncol; 2017 Aug; 134(1):177-188. PubMed ID: 28547590
[TBL] [Abstract][Full Text] [Related]
30. Negative prognostic impact of epidermal growth factor receptor copy number gain in young adults with isocitrate dehydrogenase wild-type glioblastoma.
Hoffman DI; Abdullah KG; McCoskey M; Binder ZA; O'Rourke DM; Desai AS; Nasrallah MP; Bigdeli A; Morrissette JJD; Brem S; Bagley SJ
J Neurooncol; 2019 Nov; 145(2):321-328. PubMed ID: 31542863
[TBL] [Abstract][Full Text] [Related]
31. Perfusion parameters derived from MRI for preoperative prediction of IDH mutation and MGMT promoter methylation status in glioblastomas.
Lu J; Li X; Li H
Magn Reson Imaging; 2021 Nov; 83():189-195. PubMed ID: 34506909
[TBL] [Abstract][Full Text] [Related]
32. Automated machine learning to predict the co-occurrence of isocitrate dehydrogenase mutations and O
Zhang S; Sun H; Su X; Yang X; Wang W; Wan X; Tan Q; Chen N; Yue Q; Gong Q
J Magn Reson Imaging; 2021 Jul; 54(1):197-205. PubMed ID: 33393131
[TBL] [Abstract][Full Text] [Related]
33. Low FoxG1 and high Olig-2 labelling indices define a prognostically favourable subset in isocitrate dehydrogenase (IDH)-mutant gliomas.
Schäfer S; Behling F; Skardelly M; Koch M; Ott I; Paulsen F; Tabatabai G; Schittenhelm J
Neuropathol Appl Neurobiol; 2018 Feb; 44(2):207-223. PubMed ID: 29053887
[TBL] [Abstract][Full Text] [Related]
34. World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient.
Maynard J; Okuchi S; Wastling S; Busaidi AA; Almossawi O; Mbatha W; Brandner S; Jaunmuktane Z; Koc AM; Mancini L; Jäger R; Thust S
Radiology; 2020 Jul; 296(1):111-121. PubMed ID: 32315266
[TBL] [Abstract][Full Text] [Related]
35. Radiological characteristics based on isocitrate dehydrogenase mutations and 1p/19q codeletion in grade II and III gliomas.
Yamauchi T; Ohno M; Matsushita Y; Takahashi M; Miyakita Y; Kitagawa Y; Kondo E; Tsushita N; Satomi K; Yoshida A; Ichimura K; Narita Y
Brain Tumor Pathol; 2018 Jul; 35(3):148-158. PubMed ID: 29922974
[TBL] [Abstract][Full Text] [Related]
36. Radiographic assessment of contrast enhancement and T2/FLAIR mismatch sign in lower grade gliomas: correlation with molecular groups.
Juratli TA; Tummala SS; Riedl A; Daubner D; Hennig S; Penson T; Zolal A; Thiede C; Schackert G; Krex D; Miller JJ; Cahill DP
J Neurooncol; 2019 Jan; 141(2):327-335. PubMed ID: 30536195
[TBL] [Abstract][Full Text] [Related]
37. Combined analysis of TERT, EGFR, and IDH status defines distinct prognostic glioblastoma classes.
Labussière M; Boisselier B; Mokhtari K; Di Stefano AL; Rahimian A; Rossetto M; Ciccarino P; Saulnier O; Paterra R; Marie Y; Finocchiaro G; Sanson M
Neurology; 2014 Sep; 83(13):1200-6. PubMed ID: 25150284
[TBL] [Abstract][Full Text] [Related]
38. DNA copy number analysis of Grade II-III and Grade IV gliomas reveals differences in molecular ontogeny including chromothripsis associated with IDH mutation status.
Cohen A; Sato M; Aldape K; Mason CC; Alfaro-Munoz K; Heathcock L; South ST; Abegglen LM; Schiffman JD; Colman H
Acta Neuropathol Commun; 2015 Jun; 3():34. PubMed ID: 26091668
[TBL] [Abstract][Full Text] [Related]
39. Comparison of Radiomics Analyses Based on Different Magnetic Resonance Imaging Sequences in Grading and Molecular Genomic Typing of Glioma.
Huang WY; Wen LH; Wu G; Hu MZ; Zhang CC; Chen F; Zhao JN
J Comput Assist Tomogr; 2021 Jan-Feb 01; 45(1):110-120. PubMed ID: 33475317
[TBL] [Abstract][Full Text] [Related]
40. Correlation of immune phenotype with IDH mutation in diffuse glioma.
Berghoff AS; Kiesel B; Widhalm G; Wilhelm D; Rajky O; Kurscheid S; Kresl P; Wöhrer A; Marosi C; Hegi ME; Preusser M
Neuro Oncol; 2017 Oct; 19(11):1460-1468. PubMed ID: 28531337
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
