166 related articles for article (PubMed ID: 37993907)
21. A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models.
Zinn PO; Singh SK; Kotrotsou A; Hassan I; Thomas G; Luedi MM; Elakkad A; Elshafeey N; Idris T; Mosley J; Gumin J; Fuller GN; de Groot JF; Baladandayuthapani V; Sulman EP; Kumar AJ; Sawaya R; Lang FF; Piwnica-Worms D; Colen RR
Clin Cancer Res; 2018 Dec; 24(24):6288-6299. PubMed ID: 30054278
[TBL] [Abstract][Full Text] [Related]
22. Radiomics Analysis Based on Magnetic Resonance Imaging for Preoperative Overall Survival Prediction in Isocitrate Dehydrogenase Wild-Type Glioblastoma.
Wang S; Xiao F; Sun W; Yang C; Ma C; Huang Y; Xu D; Li L; Chen J; Li H; Xu H
Front Neurosci; 2021; 15():791776. PubMed ID: 35153659
[TBL] [Abstract][Full Text] [Related]
23. Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma.
Kickingereder P; Neuberger U; Bonekamp D; Piechotta PL; Götz M; Wick A; Sill M; Kratz A; Shinohara RT; Jones DTW; Radbruch A; Muschelli J; Unterberg A; Debus J; Schlemmer HP; Herold-Mende C; Pfister S; von Deimling A; Wick W; Capper D; Maier-Hein KH; Bendszus M
Neuro Oncol; 2018 May; 20(6):848-857. PubMed ID: 29036412
[TBL] [Abstract][Full Text] [Related]
24. The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
Xu Y; He X; Li Y; Pang P; Shu Z; Gong X
J Magn Reson Imaging; 2021 Aug; 54(2):571-583. PubMed ID: 33559302
[TBL] [Abstract][Full Text] [Related]
25. Oligodendrocyte Transcription Factor 2 as a Potential Prognostic Biomarker of Glioblastoma: Kaplan-Meier Analysis and the Development of a Binary Predictive Model Based on Visually Accessible Rembrandt Image and Magnetic Resonance Imaging Radiomic Features.
Mei N; Lu Y; Yang S; Jiang S; Ruan Z; Wang D; Liu X; Ying Y; Li X; Yin B
J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):650-658. PubMed ID: 37380154
[TBL] [Abstract][Full Text] [Related]
26. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
[TBL] [Abstract][Full Text] [Related]
27. Multiparametric MRI-Based Radiomic Signature for Preoperative Evaluation of Overall Survival in Intrahepatic Cholangiocarcinoma After Partial Hepatectomy.
Yang Y; Zou X; Zhou W; Yuan G; Hu D; Kuang D; Shen Y; Xie Q; Zhang Q; Hu X; Li Z
J Magn Reson Imaging; 2022 Sep; 56(3):739-751. PubMed ID: 35049076
[TBL] [Abstract][Full Text] [Related]
28. Prediction of Core Signaling Pathway by Using Diffusion- and Perfusion-based MRI Radiomics and Next-generation Sequencing in Isocitrate Dehydrogenase Wild-type Glioblastoma.
Park JE; Kim HS; Park SY; Nam SJ; Chun SM; Jo Y; Kim JH
Radiology; 2020 Feb; 294(2):388-397. PubMed ID: 31845844
[TBL] [Abstract][Full Text] [Related]
29. Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.
Qian Z; Li Y; Sun Z; Fan X; Xu K; Wang K; Li S; Zhang Z; Jiang T; Liu X; Wang Y
Aging (Albany NY); 2018 Oct; 10(10):2884-2899. PubMed ID: 30362964
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models.
Choi Y; Nam Y; Jang J; Shin NY; Lee YS; Ahn KJ; Kim BS; Park JS; Jeon SS; Hong YG
Eur Radiol; 2021 Apr; 31(4):2084-2093. PubMed ID: 33006658
[TBL] [Abstract][Full Text] [Related]
32. Prediction of IDH1 Mutation Status in Glioblastoma Using Machine Learning Technique Based on Quantitative Radiomic Data.
Lee MH; Kim J; Kim ST; Shin HM; You HJ; Choi JW; Seol HJ; Nam DH; Lee JI; Kong DS
World Neurosurg; 2019 May; 125():e688-e696. PubMed ID: 30735871
[TBL] [Abstract][Full Text] [Related]
33. Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma.
Ingrisch M; Schneider MJ; Nörenberg D; Negrao de Figueiredo G; Maier-Hein K; Suchorska B; Schüller U; Albert N; Brückmann H; Reiser M; Tonn JC; Ertl-Wagner B
Invest Radiol; 2017 Jun; 52(6):360-366. PubMed ID: 28079702
[TBL] [Abstract][Full Text] [Related]
34. COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1
Ji H; Wang F; Liu Z; Li Y; Sun H; Xiao A; Zhang H; You C; Hu S; Liu Y
J Transl Med; 2023 Aug; 21(1):533. PubMed ID: 37553713
[TBL] [Abstract][Full Text] [Related]
35. Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
Chaddad A; Sabri S; Niazi T; Abdulkarim B
Med Biol Eng Comput; 2018 Dec; 56(12):2287-2300. PubMed ID: 29915951
[TBL] [Abstract][Full Text] [Related]
36. Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI-Based Radiomics.
Hong M; Fan S; Yu Z; Gao C; Fang Z; Du L; Wang S; Chen X; Xu M; Zhou C
J Magn Reson Imaging; 2023 Aug; 58(2):454-463. PubMed ID: 36440711
[TBL] [Abstract][Full Text] [Related]
37. Establishment and validation of an immune-based prognostic score model in glioblastoma.
Qin Z; Zhang X; Chen Z; Liu N
Int Immunopharmacol; 2020 Aug; 85():106636. PubMed ID: 32534425
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Radiogenomic Analysis of Vascular Endothelial Growth Factor in Patients With Glioblastoma.
Zheng F; Chen B; Zhang L; Chen H; Zang Y; Chen X; Li Y
J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):967-972. PubMed ID: 37948373
[TBL] [Abstract][Full Text] [Related]
40. Dynamic contrast-enhanced magnetic resonance imaging-based radiomics for the prediction of progression-free survival in advanced nasopharyngeal carcinoma.
Li WZ; Wu G; Li TS; Dai GM; Liao YT; Yang QY; Chen F; Huang WY
Front Oncol; 2022; 12():955866. PubMed ID: 36338711
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
