381 related articles for article (PubMed ID: 35020109)
1. Radiomics for precision medicine in glioblastoma.
Aftab K; Aamir FB; Mallick S; Mubarak F; Pope WB; Mikkelsen T; Rock JP; Enam SA
J Neurooncol; 2022 Jan; 156(2):217-231. PubMed ID: 35020109
[TBL] [Abstract][Full Text] [Related]
2. The application value of deep learning in the background of precision medicine in glioblastoma.
Chen P; Wang P; Gao B
Sci Prog; 2024; 107(1):368504231223353. PubMed ID: 38262933
[No Abstract] [Full Text] [Related]
3. Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions.
Chow D; Chang P; Weinberg BD; Bota DA; Grinband J; Filippi CG
AJR Am J Roentgenol; 2018 Jan; 210(1):30-38. PubMed ID: 28981352
[TBL] [Abstract][Full Text] [Related]
4. Noninvasive O
Hajianfar G; Shiri I; Maleki H; Oveisi N; Haghparast A; Abdollahi H; Oveisi M
World Neurosurg; 2019 Dec; 132():e140-e161. PubMed ID: 31505292
[TBL] [Abstract][Full Text] [Related]
5. Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
Liao X; Cai B; Tian B; Luo Y; Song W; Li Y
J Cell Mol Med; 2019 Jun; 23(6):4375-4385. PubMed ID: 31001929
[TBL] [Abstract][Full Text] [Related]
6. Radiomics, mirnomics, and radiomirRNomics in glioblastoma: defining tumor biology from shadow to light.
Maggio I; Franceschi E; Gatto L; Tosoni A; Di Nunno V; Tonon C; Brandes AA
Expert Rev Anticancer Ther; 2021 Nov; 21(11):1265-1272. PubMed ID: 34433354
[TBL] [Abstract][Full Text] [Related]
7. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
[TBL] [Abstract][Full Text] [Related]
8. Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response.
Verduin M; Compter I; Steijvers D; Postma AA; Eekers DBP; Anten MM; Ackermans L; Ter Laan M; Leijenaar RTH; van de Weijer T; Tjan-Heijnen VCG; Hoeben A; Vooijs M
Dis Markers; 2018; 2018():2908609. PubMed ID: 29581794
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. State of Radiomics in Glioblastoma.
Taha B; Boley D; Sun J; Chen CC
Neurosurgery; 2021 Jul; 89(2):177-184. PubMed ID: 33913492
[TBL] [Abstract][Full Text] [Related]
11. Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.
Fathi Kazerooni A; Bakas S; Saligheh Rad H; Davatzikos C
J Magn Reson Imaging; 2020 Jul; 52(1):54-69. PubMed ID: 31456318
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
Wang L; Wang H; D'Angelo F; Curtin L; Sereduk CP; Leon G; Singleton KW; Urcuyo J; Hawkins-Daarud A; Jackson PR; Krishna C; Zimmerman RS; Patra DP; Bendok BR; Smith KA; Nakaji P; Donev K; Baxter LC; Mrugała MM; Ceccarelli M; Iavarone A; Swanson KR; Tran NL; Hu LS; Li J
PLoS One; 2024; 19(4):e0299267. PubMed ID: 38568950
[TBL] [Abstract][Full Text] [Related]
16. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
[TBL] [Abstract][Full Text] [Related]
17. Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma.
Sun Q; Chen Y; Liang C; Zhao Y; Lv X; Zou Y; Yan K; Zheng H; Liang D; Li ZC
Radiology; 2021 Dec; 301(3):654-663. PubMed ID: 34519578
[TBL] [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. 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]
20. Clinical and Magnetic Resonance Imaging Radiomics-Based Survival Prediction in Glioblastoma Using Multiparametric Magnetic Resonance Imaging.
Bathla G; Soni N; Ward C; Pillenahalli Maheshwarappa R; Agarwal A; Priya S
J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):919-923. PubMed ID: 37948367
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
