160 related articles for article (PubMed ID: 38668068)
1. Survival Outcome Prediction in Glioblastoma: Insights from MRI Radiomics.
Styliara EI; Astrakas LG; Alexiou G; Xydis VG; Zikou A; Kafritsas G; Voulgaris S; Argyropoulou MI
Curr Oncol; 2024 Apr; 31(4):2233-2243. PubMed ID: 38668068
[No Abstract] [Full Text] [Related]
2. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
[TBL] [Abstract][Full Text] [Related]
3. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
[TBL] [Abstract][Full Text] [Related]
4. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090
[TBL] [Abstract][Full Text] [Related]
5. Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI.
Pak E; Choi KS; Choi SH; Park CK; Kim TM; Park SH; Lee JH; Lee ST; Hwang I; Yoo RE; Kang KM; Yun TJ; Kim JH; Sohn CH
Korean J Radiol; 2021 Sep; 22(9):1514-1524. PubMed ID: 34269536
[TBL] [Abstract][Full Text] [Related]
6. Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics.
Choi Y; Ahn KJ; Nam Y; Jang J; Shin NY; Choi HS; Jung SL; Kim BS
Eur J Radiol; 2019 Nov; 120():108642. PubMed ID: 31546124
[TBL] [Abstract][Full Text] [Related]
7. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
Zhang X; Lu H; Tian Q; Feng N; Yin L; Xu X; Du P; Liu Y
Eur Radiol; 2019 Oct; 29(10):5528-5538. PubMed ID: 30847586
[TBL] [Abstract][Full Text] [Related]
8. Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study.
Li ZC; Bai H; Sun Q; Li Q; Liu L; Zou Y; Chen Y; Liang C; Zheng H
Eur Radiol; 2018 Sep; 28(9):3640-3650. PubMed ID: 29564594
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
Beig N; Bera K; Prasanna P; Antunes J; Correa R; Singh S; Saeed Bamashmos A; Ismail M; Braman N; Verma R; Hill VB; Statsevych V; Ahluwalia MS; Varadan V; Madabhushi A; Tiwari P
Clin Cancer Res; 2020 Apr; 26(8):1866-1876. PubMed ID: 32079590
[TBL] [Abstract][Full Text] [Related]
13. Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.
Kim JY; Yoon MJ; Park JE; Choi EJ; Lee J; Kim HS
Neuroradiology; 2019 Nov; 61(11):1261-1272. PubMed ID: 31289886
[TBL] [Abstract][Full Text] [Related]
14. Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI.
Park JE; Kim HS; Jo Y; Yoo RE; Choi SH; Nam SJ; Kim JH
Sci Rep; 2020 Mar; 10(1):4250. PubMed ID: 32144360
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B
J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953
[TBL] [Abstract][Full Text] [Related]
18. Survival-relevant high-risk subregion identification for glioblastoma patients: the MRI-based multiple instance learning approach.
Zhang X; Lu D; Gao P; Tian Q; Lu H; Xu X; He X; Liu Y
Eur Radiol; 2020 Oct; 30(10):5602-5610. PubMed ID: 32417949
[TBL] [Abstract][Full Text] [Related]
19. Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma.
Guan F; Wang Z; Qiu Y; Guo Y; Pei D; Wang M; Xing A; Liu Z; Yu B; Cheng J; Liu X; Ji Y; Yan D; Yan J; Zhang Z
J Transl Med; 2023 Nov; 21(1):841. PubMed ID: 37993907
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
