649 related articles for article (PubMed ID: 32193643)
1. Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.
Zhao J; Huang Y; Song Y; Xie D; Hu M; Qiu H; Chu J
Eur Radiol; 2020 Aug; 30(8):4664-4674. PubMed ID: 32193643
[TBL] [Abstract][Full Text] [Related]
2. Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis.
Suh CH; Kim HS; Jung SC; Choi CG; Kim SJ
Eur Radiol; 2019 Feb; 29(2):745-758. PubMed ID: 30003316
[TBL] [Abstract][Full Text] [Related]
3. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
[TBL] [Abstract][Full Text] [Related]
4. Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.
De Looze C; Beausang A; Cryan J; Loftus T; Buckley PG; Farrell M; Looby S; Reilly R; Brett F; Kearney H
J Neurooncol; 2018 Sep; 139(2):491-499. PubMed ID: 29770897
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Noninvasive Determination of
Bhandari AP; Liong R; Koppen J; Murthy SV; Lasocki A
AJNR Am J Neuroradiol; 2021 Jan; 42(1):94-101. PubMed ID: 33243896
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning for the Prediction of Molecular Markers in Glioma on Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis.
Jian A; Jang K; Manuguerra M; Liu S; Magnussen J; Di Ieva A
Neurosurgery; 2021 Jun; 89(1):31-44. PubMed ID: 33826716
[TBL] [Abstract][Full Text] [Related]
8. RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion.
Chen SC; Lo CM; Wang SH; Su EC
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):659. PubMed ID: 31870275
[TBL] [Abstract][Full Text] [Related]
9. The association between
Okita Y; Shofuda T; Kanematsu D; Yoshioka E; Kodama Y; Mano M; Kinoshita M; Nonaka M; Fujinaka T; Kanemura Y
Clin Radiol; 2020 Aug; 75(8):622-628. PubMed ID: 32321646
[TBL] [Abstract][Full Text] [Related]
10. Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.
Zhang B; Chang K; Ramkissoon S; Tanguturi S; Bi WL; Reardon DA; Ligon KL; Alexander BM; Wen PY; Huang RY
Neuro Oncol; 2017 Jan; 19(1):109-117. PubMed ID: 27353503
[TBL] [Abstract][Full Text] [Related]
11. Comparative Value of 2-Hydroxyglutarate-to-Lipid and Lactate Ratio versus 2-Hydroxyglutarate Concentration on MR Spectroscopic Images for Predicting Isocitrate Dehydrogenase Mutation Status in Gliomas.
Suh CH; Kim HS; Park JE; Jung SC; Choi CG; Woo DC; Lee HB; Kim SJ
Radiol Imaging Cancer; 2020 Jul; 2(4):e190083. PubMed ID: 33778723
[TBL] [Abstract][Full Text] [Related]
12. The T2-FLAIR-mismatch sign as an imaging biomarker for IDH and 1p/19q status in diffuse low-grade gliomas: a systematic review with a Bayesian approach to evaluation of diagnostic test performance.
Goyal A; Yolcu YU; Goyal A; Kerezoudis P; Brown DA; Graffeo CS; Goncalves S; Burns TC; Parney IF
Neurosurg Focus; 2019 Dec; 47(6):E13. PubMed ID: 31786548
[TBL] [Abstract][Full Text] [Related]
13. Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach.
Karabacak M; Ozkara BB; Mordag S; Bisdas S
Quant Imaging Med Surg; 2022 Aug; 12(8):4033-4046. PubMed ID: 35919062
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.
Yuan J; Siakallis L; Li HB; Brandner S; Zhang J; Li C; Mancini L; Bisdas S
BMC Med Imaging; 2024 May; 24(1):104. PubMed ID: 38702613
[TBL] [Abstract][Full Text] [Related]
16. Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign.
Lee MK; Park JE; Jo Y; Park SY; Kim SJ; Kim HS
Eur Radiol; 2020 Feb; 30(2):844-854. PubMed ID: 31446467
[TBL] [Abstract][Full Text] [Related]
17. Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status.
Park CJ; Choi YS; Park YW; Ahn SS; Kang SG; Chang JH; Kim SH; Lee SK
Neuroradiology; 2020 Mar; 62(3):319-326. PubMed ID: 31820065
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.
Choi KS; Choi SH; Jeong B
Neuro Oncol; 2019 Sep; 21(9):1197-1209. PubMed ID: 31127834
[TBL] [Abstract][Full Text] [Related]
20. Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma.
Joo B; Han K; Ahn SS; Choi YS; Chang JH; Kang SG; Kim SH; Zhou J; Lee SK
Eur Radiol; 2019 Dec; 29(12):6643-6652. PubMed ID: 31175415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]