These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

329 related articles for article (PubMed ID: 35927323)

  • 1. Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach.
    Do DT; Yang MR; Lam LHT; Le NQK; Wu YW
    Sci Rep; 2022 Aug; 12(1):13412. PubMed ID: 35927323
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
    Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
    Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma.
    Xi YB; Guo F; Xu ZL; Li C; Wei W; Tian P; Liu TT; Liu L; Chen G; Ye J; Cheng G; Cui LB; Zhang HJ; Qin W; Yin H
    J Magn Reson Imaging; 2018 May; 47(5):1380-1387. PubMed ID: 28926163
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Prediction of MGMT Status for Glioblastoma Patients Using Radiomics Feature Extraction From
    Qian J; Herman MG; Brinkmann DH; Laack NN; Kemp BJ; Hunt CH; Lowe V; Pafundi DH
    Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1339-1346. PubMed ID: 32634544
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.
    Wei J; Yang G; Hao X; Gu D; Tan Y; Wang X; Dong D; Zhang S; Wang L; Zhang H; Tian J
    Eur Radiol; 2019 Feb; 29(2):877-888. PubMed ID: 30039219
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics for predicting MGMT status in cerebral glioblastoma: comparison of different MRI sequences.
    Zheng F; Zhang L; Chen H; Zang Y; Chen X; Li Y
    J Radiat Res; 2024 May; 65(3):350-359. PubMed ID: 38650477
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.
    Kanas VG; Zacharaki EI; Thomas GA; Zinn PO; Megalooikonomou V; Colen RR
    Comput Methods Programs Biomed; 2017 Mar; 140():249-257. PubMed ID: 28254081
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Preoperative prediction of MGMT promoter methylation in glioblastoma based on multiregional and multi-sequence MRI radiomics analysis.
    Li L; Xiao F; Wang S; Kuang S; Li Z; Zhong Y; Xu D; Cai Y; Li S; Chen J; Liu Y; Li J; Li H; Xu H
    Sci Rep; 2024 Jul; 14(1):16031. PubMed ID: 38992201
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quality assessment of the MRI-radiomics studies for MGMT promoter methylation prediction in glioma: a systematic review and meta-analysis.
    Doniselli FM; Pascuzzo R; Mazzi F; Padelli F; Moscatelli M; Akinci D'Antonoli T; Cuocolo R; Aquino D; Cuccarini V; Sconfienza LM
    Eur Radiol; 2024 Sep; 34(9):5802-5815. PubMed ID: 38308012
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adaptive fine-tuning based transfer learning for the identification of MGMT promoter methylation status.
    Schmitz E; Guo Y; Wang J
    Biomed Phys Eng Express; 2024 Jul; 10(5):. PubMed ID: 39029475
    [No Abstract]   [Full Text] [Related]  

  • 14. Development of A Radiomic Model for
    Doniselli FM; Pascuzzo R; Agrò M; Aquino D; Anghileri E; Farinotti M; Pollo B; Paterra R; Cuccarini V; Moscatelli M; DiMeco F; Sconfienza LM
    Int J Mol Sci; 2023 Dec; 25(1):. PubMed ID: 38203308
    [TBL] [Abstract][Full Text] [Related]  

  • 15.
    Kong Z; Lin Y; Jiang C; Li L; Liu Z; Wang Y; Dai C; Liu D; Qin X; Wang Y; Liu Z; Cheng X; Tian J; Ma W
    Cancer Imaging; 2019 Aug; 19(1):58. PubMed ID: 31426864
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.
    Han L; Kamdar MR
    Pac Symp Biocomput; 2018; 23():331-342. PubMed ID: 29218894
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.
    Faghani S; Khosravi B; Moassefi M; Conte GM; Erickson BJ
    J Digit Imaging; 2023 Jun; 36(3):837-846. PubMed ID: 36604366
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.
    Han Y; Yan LF; Wang XB; Sun YZ; Zhang X; Liu ZC; Nan HY; Hu YC; Yang Y; Zhang J; Yu Y; Sun Q; Tian Q; Hu B; Xiao G; Wang W; Cui GB
    BMC Cancer; 2018 Feb; 18(1):215. PubMed ID: 29467012
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Glioblastoma Recurrence and the Role of O
    Storey K; Leder K; Hawkins-Daarud A; Swanson K; Ahmed AU; Rockne RC; Foo J
    JCO Clin Cancer Inform; 2019 Feb; 3():1-12. PubMed ID: 30758983
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiological model based on the standard magnetic resonance sequences for detecting methylguanine methyltransferase methylation in glioma using texture analysis.
    Huang WY; Wen LH; Wu G; Pang PP; Ogbuji R; Zhang CC; Chen F; Zhao JN
    Cancer Sci; 2021 Jul; 112(7):2835-2844. PubMed ID: 33932065
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.