253 related articles for article (PubMed ID: 33932065)
1. Radiological model based on the standard magnetic resonance sequences for detecting methylguanine methyltransferase methylation in glioma using texture analysis.
Huang WY; Wen LH; Wu G; Pang PP; Ogbuji R; Zhang CC; Chen F; Zhao JN
Cancer Sci; 2021 Jul; 112(7):2835-2844. PubMed ID: 33932065
[TBL] [Abstract][Full Text] [Related]
2. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
[TBL] [Abstract][Full Text] [Related]
3. An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging.
Drabycz S; Roldán G; de Robles P; Adler D; McIntyre JB; Magliocco AM; Cairncross JG; Mitchell JR
Neuroimage; 2010 Jan; 49(2):1398-405. PubMed ID: 19796694
[TBL] [Abstract][Full Text] [Related]
4. Noninvasive Assessment of O(6)-Methylguanine-DNA Methyltransferase Promoter Methylation Status in World Health Organization Grade II-IV Glioma Using Histogram Analysis of Inflow-Based Vascular-Space-Occupancy Combined with Structural Magnetic Resonance Imaging.
He W; Li X; Hua J; Liao S; Guo L; Xiao X; Liu X; Zhou J; Wang W; Xu Y; Wu Y
J Magn Reson Imaging; 2021 Jul; 54(1):227-236. PubMed ID: 33590929
[TBL] [Abstract][Full Text] [Related]
5. Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.
Han Y; Yan LF; Wang XB; Sun YZ; Zhang X; Liu ZC; Nan HY; Hu YC; Yang Y; Zhang J; Yu Y; Sun Q; Tian Q; Hu B; Xiao G; Wang W; Cui GB
BMC Cancer; 2018 Feb; 18(1):215. PubMed ID: 29467012
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas.
Korfiatis P; Kline TL; Coufalova L; Lachance DH; Parney IF; Carter RE; Buckner JC; Erickson BJ
Med Phys; 2016 Jun; 43(6):2835-2844. PubMed ID: 27277032
[TBL] [Abstract][Full Text] [Related]
8. Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma.
Xi YB; Guo F; Xu ZL; Li C; Wei W; Tian P; Liu TT; Liu L; Chen G; Ye J; Cheng G; Cui LB; Zhang HJ; Qin W; Yin H
J Magn Reson Imaging; 2018 May; 47(5):1380-1387. PubMed ID: 28926163
[TBL] [Abstract][Full Text] [Related]
9. Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics.
Jiang S; Rui Q; Wang Y; Heo HY; Zou T; Yu H; Zhang Y; Wang X; Du Y; Wen X; Chen F; Wang J; Eberhart CG; Zhou J; Wen Z
Eur Radiol; 2018 May; 28(5):2115-2123. PubMed ID: 29234914
[TBL] [Abstract][Full Text] [Related]
10. Predicting MGMT Promoter Methylation of Glioblastoma from Dynamic Susceptibility Contrast Perfusion: A Radiomic Approach.
Crisi G; Filice S
J Neuroimaging; 2020 Jul; 30(4):458-462. PubMed ID: 32374045
[TBL] [Abstract][Full Text] [Related]
11. Different diagnostic values of imaging parameters to predict pseudoprogression in glioblastoma subgroups stratified by MGMT promoter methylation.
Yoon RG; Kim HS; Paik W; Shim WH; Kim SJ; Kim JH
Eur Radiol; 2017 Jan; 27(1):255-266. PubMed ID: 27048531
[TBL] [Abstract][Full Text] [Related]
12.
Choi HJ; Choi SH; You SH; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH; Park CK; Park SH
AJNR Am J Neuroradiol; 2021 May; 42(5):853-860. PubMed ID: 33632732
[TBL] [Abstract][Full Text] [Related]
13. Volumetric and MGMT parameters in glioblastoma patients: survival analysis.
Iliadis G; Kotoula V; Chatzisotiriou A; Televantou D; Eleftheraki AG; Lambaki S; Misailidou D; Selviaridis P; Fountzilas G
BMC Cancer; 2012 Jan; 12():3. PubMed ID: 22214427
[TBL] [Abstract][Full Text] [Related]
14.
Kong Z; Lin Y; Jiang C; Li L; Liu Z; Wang Y; Dai C; Liu D; Qin X; Wang Y; Liu Z; Cheng X; Tian J; Ma W
Cancer Imaging; 2019 Aug; 19(1):58. PubMed ID: 31426864
[TBL] [Abstract][Full Text] [Related]
15. Anatomic localization of O6-methylguanine DNA methyltransferase (MGMT) promoter methylated and unmethylated tumors: a radiographic study in 358 de novo human glioblastomas.
Ellingson BM; Cloughesy TF; Pope WB; Zaw TM; Phillips H; Lalezari S; Nghiemphu PL; Ibrahim H; Naeini KM; Harris RJ; Lai A
Neuroimage; 2012 Jan; 59(2):908-16. PubMed ID: 22001163
[TBL] [Abstract][Full Text] [Related]
16. Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.
Kanas VG; Zacharaki EI; Thomas GA; Zinn PO; Megalooikonomou V; Colen RR
Comput Methods Programs Biomed; 2017 Mar; 140():249-257. PubMed ID: 28254081
[TBL] [Abstract][Full Text] [Related]
17. Prediction of MGMT Status for Glioblastoma Patients Using Radiomics Feature Extraction From
Qian J; Herman MG; Brinkmann DH; Laack NN; Kemp BJ; Hunt CH; Lowe V; Pafundi DH
Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1339-1346. PubMed ID: 32634544
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach.
Do DT; Yang MR; Lam LHT; Le NQK; Wu YW
Sci Rep; 2022 Aug; 12(1):13412. PubMed ID: 35927323
[TBL] [Abstract][Full Text] [Related]
20. MGMT promoter methylation in patients with glioblastoma: is methylation-sensitive high-resolution melting superior to methylation-sensitive polymerase chain reaction assay?
Yamashita S; Yokogami K; Matsumoto F; Saito K; Mizuguchi A; Ohta H; Takeshima H
J Neurosurg; 2018 May; 130(3):780-788. PubMed ID: 29726772
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]