991 related articles for article (PubMed ID: 32932560)
21. Clinical management and survival outcomes of patients with different molecular subtypes of diffuse gliomas in China (2011-2017): a multicenter retrospective study from CGGA.
Zhang K; Liu X; Li G; Chang X; Li S; Chen J; Zhao Z; Wang J; Jiang T; Chai R
Cancer Biol Med; 2022 Nov; 19(10):1460-76. PubMed ID: 36350010
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of Key Molecular Markers in Adult Diffuse Gliomas Based on a Novel Combination of Diffusion and Perfusion MRI and MR Spectroscopy.
Su X; Yang X; Sun H; Liu Y; Chen N; Li S; Huang Z; Shao H; Zhang S; Gong Q; Yue Q
J Magn Reson Imaging; 2024 Feb; 59(2):628-638. PubMed ID: 37246748
[TBL] [Abstract][Full Text] [Related]
23. MRI Features and IDH Mutational Status of Grade II Diffuse Gliomas: Impact on Diagnosis and Prognosis.
Villanueva-Meyer JE; Wood MD; Choi BS; Mabray MC; Butowski NA; Tihan T; Cha S
AJR Am J Roentgenol; 2018 Mar; 210(3):621-628. PubMed ID: 29261348
[TBL] [Abstract][Full Text] [Related]
24. In vivo Metabolic Profiles as Determined by
Wenger KJ; Hattingen E; Franz K; Steinbach J; Bähr O; Pilatus U
Clin Neuroradiol; 2019 Mar; 29(1):27-36. PubMed ID: 28983683
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. 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]
27. Conventional MR-based Preoperative Nomograms for Prediction of IDH/1p19q Subtype in Low-Grade Glioma.
Liu Z; Zhang T; Jiang H; Xu W; Zhang J
Acad Radiol; 2019 Aug; 26(8):1062-1070. PubMed ID: 30393056
[TBL] [Abstract][Full Text] [Related]
28. Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning Algorithm.
Guo Y; Ma Z; Pei D; Duan W; Guo Y; Liu Z; Guan F; Wang Z; Xing A; Guo Z; Luo L; Wang W; Yu B; Zhou J; Ji Y; Yan D; Cheng J; Liu X; Yan J; Zhang Z
J Magn Reson Imaging; 2023 Oct; 58(4):1234-1242. PubMed ID: 36727433
[TBL] [Abstract][Full Text] [Related]
29. Telomerase reverse transcriptase promoter mutation and histologic grade in IDH wild-type histological lower-grade gliomas: The value of perfusion-weighted image, diffusion-weighted image, and
Ikeda S; Sakata A; Fushimi Y; Okuchi S; Arakawa Y; Makino Y; Mineharu Y; Nakajima S; Hinoda T; Yoshida K; Miyamoto S; Nakamoto Y
Eur J Radiol; 2023 Feb; 159():110658. PubMed ID: 36571926
[TBL] [Abstract][Full Text] [Related]
30. Relevance of calcification and contrast enhancement pattern for molecular diagnosis and survival prediction of gliomas based on the 2016 World Health Organization Classification.
Michiwaki Y; Hata N; Mizoguchi M; Hiwatashi A; Kuga D; Hatae R; Akagi Y; Amemiya T; Fujioka Y; Togao O; Suzuki SO; Yoshimoto K; Iwaki T; Iihara K
Clin Neurol Neurosurg; 2019 Dec; 187():105556. PubMed ID: 31639630
[TBL] [Abstract][Full Text] [Related]
31. MRI and CT Identify Isocitrate Dehydrogenase
Patel SH; Batchala PP; Mrachek EKS; Lopes MS; Schiff D; Fadul CE; Patrie JT; Jain R; Druzgal TJ; Williams ES
Radiology; 2020 Jan; 294(1):160-167. PubMed ID: 31714193
[TBL] [Abstract][Full Text] [Related]
32. TERT promoter mutations contribute to subset prognostication of lower-grade gliomas.
Chan AK; Yao Y; Zhang Z; Chung NY; Liu JS; Li KK; Shi Z; Chan DT; Poon WS; Zhou L; Ng HK
Mod Pathol; 2015 Feb; 28(2):177-86. PubMed ID: 25081751
[TBL] [Abstract][Full Text] [Related]
33.
Zhao K; Yu P; Xue Z; Liu J; Yao A; Zhao Y; Yang F; Tian J; Xu B
Acad Radiol; 2020 Jul; 27(7):e159-e167. PubMed ID: 31607471
[TBL] [Abstract][Full Text] [Related]
34. Predicting Genotype and Survival in Glioma Using Standard Clinical MR Imaging Apparent Diffusion Coefficient Images: A Pilot Study from The Cancer Genome Atlas.
Wu CC; Jain R; Radmanesh A; Poisson LM; Guo WY; Zagzag D; Snuderl M; Placantonakis DG; Golfinos J; Chi AS
AJNR Am J Neuroradiol; 2018 Oct; 39(10):1814-1820. PubMed ID: 30190259
[TBL] [Abstract][Full Text] [Related]
35. Neuro-radiological characteristics of adult diffuse grade II and III insular gliomas classified according to WHO 2016.
Compes P; Tabouret E; Etcheverry A; Colin C; Appay R; Cordier N; Mosser J; Chinot O; Delingette H; Girard N; Dufour H; Metellus P; Figarella-Branger D
J Neurooncol; 2019 May; 142(3):511-520. PubMed ID: 30756272
[TBL] [Abstract][Full Text] [Related]
36. Significance of IDH mutations varies with tumor histology, grade, and genetics in Japanese glioma patients.
Mukasa A; Takayanagi S; Saito K; Shibahara J; Tabei Y; Furuya K; Ide T; Narita Y; Nishikawa R; Ueki K; Saito N
Cancer Sci; 2012 Mar; 103(3):587-92. PubMed ID: 22136423
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Molecular classification of patients with grade II/III glioma using quantitative MRI characteristics.
Bahrami N; Hartman SJ; Chang YH; Delfanti R; White NS; Karunamuni R; Seibert TM; Dale AM; Hattangadi-Gluth JA; Piccioni D; Farid N; McDonald CR
J Neurooncol; 2018 Sep; 139(3):633-642. PubMed ID: 29860714
[TBL] [Abstract][Full Text] [Related]
39. Molecular Classification of Gliomas is Associated with Seizure Control: A Retrospective Analysis.
Easwaran TP; Lancki N; Henriquez M; Vortmeyer AO; Barbaro NM; Scholtens DM; Ahmed AU; Dey M
Neuromolecular Med; 2021 Jun; 23(2):315-326. PubMed ID: 33206320
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
