153 related articles for article (PubMed ID: 38054695)
1. MRI radiomics model for predicting TERT promoter mutation status in glioblastoma.
Chen L; Chen R; Li T; Huang L; Tang C; Li Y; Zeng Z
Brain Behav; 2023 Dec; 13(12):e3324. PubMed ID: 38054695
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Multiparametric MRI-based fusion radiomics for predicting telomerase reverse transcriptase (TERT) promoter mutations and progression-free survival in glioblastoma: a multicentre study.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Yang W; Lei Y; Huang B
Neuroradiology; 2024 Jan; 66(1):81-92. PubMed ID: 37978079
[TBL] [Abstract][Full Text] [Related]
4. A radiomics-based nomogram may be useful for predicting telomerase reverse transcriptase promoter mutation status in adult glioblastoma.
Li Y; Chen L; Huang L; Li X; Huang Q; Tang L; Huang Z; Zhu L; Li T
Brain Behav; 2024 May; 14(5):e3528. PubMed ID: 38798094
[TBL] [Abstract][Full Text] [Related]
5. Peritumoral Radiomics for Identification of Telomerase Reverse Transcriptase Promoter Mutation in Patients With Glioblastoma Based on Preoperative MRI.
Zhang H; Zhou B; Zhang H; Zhang Y; Lei Y; Huang B
Can Assoc Radiol J; 2024 Feb; 75(1):143-152. PubMed ID: 37552107
[No Abstract] [Full Text] [Related]
6. Multi-parameter MRI based radiomics nomogram for predicting telomerase reverse transcriptase promoter mutation and prognosis in glioblastoma.
Chen L; Chen R; Li T; Tang C; Li Y; Zeng Z
Front Neurol; 2023; 14():1266658. PubMed ID: 37830090
[TBL] [Abstract][Full Text] [Related]
7. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
[TBL] [Abstract][Full Text] [Related]
8. A radiomics feature-based nomogram to predict telomerase reverse transcriptase promoter mutation status and the prognosis of lower-grade gliomas.
Lu J; Li X; Li H
Clin Radiol; 2022 Aug; 77(8):e560-e567. PubMed ID: 35595562
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Noninvasive Prediction of TERT Promoter Mutations in High-Grade Glioma by Radiomics Analysis Based on Multiparameter MRI.
Tian H; Wu H; Wu G; Xu G
Biomed Res Int; 2020; 2020():3872314. PubMed ID: 32509858
[TBL] [Abstract][Full Text] [Related]
11. The TERT promoter mutation status and MGMT promoter methylation status, combined with dichotomized MRI-derived and clinical features, predict adult primary glioblastoma survival.
Shu C; Wang Q; Yan X; Wang J
Cancer Med; 2018 Aug; 7(8):3704-3712. PubMed ID: 29984907
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
14. MRI Features Associated with TERT Promoter Mutation Status in Glioblastoma.
Ivanidze J; Lum M; Pisapia D; Magge R; Ramakrishna R; Kovanlikaya I; Fine HA; Chiang GC
J Neuroimaging; 2019 May; 29(3):357-363. PubMed ID: 30644143
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
Front Oncol; 2021; 11():683587. PubMed ID: 34868905
[TBL] [Abstract][Full Text] [Related]
16. The application of decision tree model based on clinicopathological risk factors and pre-operative MRI radiomics for predicting short-term recurrence of glioblastoma after total resection: a retrospective cohort study.
Du P; Wu X; Liu X; Chen J; Chen L; Cao A; Geng D
Am J Cancer Res; 2023; 13(8):3449-3462. PubMed ID: 37693142
[TBL] [Abstract][Full Text] [Related]
17. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
[No Abstract] [Full Text] [Related]
18. 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]
19. Apparent Diffusion Coefficient Map-Based Radiomics Features for Differential Diagnosis of Pleomorphic Adenomas and Warthin Tumors From Malignant Tumors.
Wen B; Zhang Z; Zhu J; Liu L; Li Y; Huang H; Zhang Y; Cheng J
Front Oncol; 2022; 12():830496. PubMed ID: 35747827
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]