241 related articles for article (PubMed ID: 38110710)
21. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
[TBL] [Abstract][Full Text] [Related]
22. The Value of Enhanced MR Radiomics in Estimating the IDH1 Genotype in High-Grade Gliomas.
Niu L; Feng WH; Duan CF; Liu YC; Liu JH; Liu XJ
Biomed Res Int; 2020; 2020():4630218. PubMed ID: 33163535
[TBL] [Abstract][Full Text] [Related]
23. Combining methionine-PET and MRI fluid-attenuated inversion-recovery mismatch to determine glioma molecular subtype.
Ohmura K; Kumagai N; Kumagai M; Ikegame Y; Shinoda J; Yano H; Muragaki Y; Iwama T
J Neuroimaging; 2023; 33(4):652-660. PubMed ID: 37158779
[TBL] [Abstract][Full Text] [Related]
24. Multimodal MRI-based radiomic nomogram for predicting telomerase reverse transcriptase promoter mutation in IDH-wildtype histological lower-grade gliomas.
Huo X; Wang Y; Ma S; Zhu S; Wang K; Ji Q; Chen F; Wang L; Wu Z; Li W
Medicine (Baltimore); 2023 Dec; 102(51):e36581. PubMed ID: 38134061
[TBL] [Abstract][Full Text] [Related]
25. Re-evaluation of the diagnostic performance of
Kim D; Chun JH; Kim SH; Moon JH; Kang SG; Chang JH; Yun M
Eur J Nucl Med Mol Imaging; 2019 Jul; 46(8):1678-1684. PubMed ID: 31102001
[TBL] [Abstract][Full Text] [Related]
26. Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.
Russo G; Stefano A; Alongi P; Comelli A; Catalfamo B; Mantarro C; Longo C; Altieri R; Certo F; Cosentino S; Sabini MG; Richiusa S; Barbagallo GMV; Ippolito M
Curr Oncol; 2021 Dec; 28(6):5318-5331. PubMed ID: 34940083
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
[TBL] [Abstract][Full Text] [Related]
29. A radiomics-clinical nomogram for preoperative prediction of IDH1 mutation in primary glioblastoma multiforme.
Su X; Sun H; Chen N; Roberts N; Yang X; Wang W; Li J; Huang X; Gong Q; Yue Q
Clin Radiol; 2020 Dec; 75(12):963.e7-963.e15. PubMed ID: 32921406
[TBL] [Abstract][Full Text] [Related]
30. Evaluation of isocitrate dehydrogenase mutation in 2021 world health organization classification grade 3 and 4 glioma adult-type diffuse gliomas with 18F-fluoromisonidazole PET.
Wang Y; Fushimi Y; Arakawa Y; Shimizu Y; Sano K; Sakata A; Nakajima S; Okuchi S; Hinoda T; Oshima S; Otani S; Ishimori T; Tanji M; Mineharu Y; Yoshida K; Nakamoto Y
Jpn J Radiol; 2023 Nov; 41(11):1255-1264. PubMed ID: 37219717
[TBL] [Abstract][Full Text] [Related]
31. Comparison of L-Methyl-11C-Methionine PET With Magnetic Resonance Spectroscopy in Detecting Newly Diagnosed Glioma.
Kebir S; Lazaridis L; Weber M; Deuschl C; Stoppek AK; Schmidt T; Mönninghoff C; Blau T; Keyvani K; Umutlu L; Pierscianek D; Forsting M; Stuschke M; Antoch G; Sure U; Kleinschnitz C; Scheffler B; Colletti PM; Rubello D; Herrmann K; Glas M
Clin Nucl Med; 2019 Jun; 44(6):e375-e381. PubMed ID: 30985412
[TBL] [Abstract][Full Text] [Related]
32. Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.
Wu S; Meng J; Yu Q; Li P; Fu S
J Cancer Res Clin Oncol; 2019 Mar; 145(3):543-550. PubMed ID: 30719536
[TBL] [Abstract][Full Text] [Related]
33. Neuroimaging-Based Classification Algorithm for Predicting 1p/19q-Codeletion Status in
Batchala PP; Muttikkal TJE; Donahue JH; Patrie JT; Schiff D; Fadul CE; Mrachek EK; Lopes MB; Jain R; Patel SH
AJNR Am J Neuroradiol; 2019 Mar; 40(3):426-432. PubMed ID: 30705071
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Comparative evaluation of
Norikane T; Mitamura K; Yamamoto Y; Manabe Y; Murao M; Arai-Okuda H; Hatakeyama T; Miyake K; Nishiyama Y
J Neurooncol; 2024 Jan; 166(1):195-201. PubMed ID: 38160415
[TBL] [Abstract][Full Text] [Related]
36. Prediction of IDH mutation status of glioma based on terahertz spectral data.
Sun Z; Wu X; Tao R; Zhang T; Liu X; Wang J; Wan H; Zheng S; Zhao X; Zhang Z; Yang P
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Jul; 295():122629. PubMed ID: 36958244
[TBL] [Abstract][Full Text] [Related]
37. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
[TBL] [Abstract][Full Text] [Related]
38. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
[TBL] [Abstract][Full Text] [Related]
39. The Diagnostic Value of Conventional MRI and CT Features in the Identification of the IDH1-Mutant and 1p/19q Co-Deletion in WHO Grade II Gliomas.
Zhao K; Sun G; Wang Q; Xue Z; Liu G; Xia Y; Yao A; Zhao Y; You N; Yang C; Xu B
Acad Radiol; 2021 Jul; 28(7):e189-e198. PubMed ID: 32359929
[TBL] [Abstract][Full Text] [Related]
40. Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas.
Arita H; Kinoshita M; Kawaguchi A; Takahashi M; Narita Y; Terakawa Y; Tsuyuguchi N; Okita Y; Nonaka M; Moriuchi S; Takagaki M; Fujimoto Y; Fukai J; Izumoto S; Ishibashi K; Nakajima Y; Shofuda T; Kanematsu D; Yoshioka E; Kodama Y; Mano M; Mori K; Ichimura K; Kanemura Y
Sci Rep; 2018 Aug; 8(1):11773. PubMed ID: 30082856
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
