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 *

204 related articles for article (PubMed ID: 37432527)

  • 1. A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas.
    Le VH; Minh TNT; Kha QH; Le NQK
    Med Biol Eng Comput; 2023 Oct; 61(10):2699-2712. PubMed ID: 37432527
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas.
    Ma A; Yan X; Qu Y; Wen H; Zou X; Liu X; Lu M; Mo J; Wen Z
    BMC Med Imaging; 2024 Apr; 24(1):85. PubMed ID: 38600452
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas.
    Wang J; Zheng X; Zhang J; Xue H; Wang L; Jing R; Chen S; Che F; Heng X; Li G; Xue F
    Eur Radiol; 2021 Apr; 31(4):1785-1794. PubMed ID: 33409797
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas.
    Park CJ; Han K; Kim H; Ahn SS; Choi YS; Park YW; Chang JH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Dec; 30(12):6464-6474. PubMed ID: 32740813
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas.
    Han Y; Xie Z; Zang Y; Zhang S; Gu D; Zhou M; Gevaert O; Wei J; Li C; Chen H; Du J; Liu Z; Dong D; Tian J; Zhou D
    J Neurooncol; 2018 Nov; 140(2):297-306. PubMed ID: 30097822
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diffusion- and Perfusion-Weighted MRI Radiomics for Survival Prediction in Patients with Lower-Grade Gliomas.
    Park CJ; Kim S; Han K; Ahn SS; Kim D; Park YW; Chang JH; Kim SH; Lee SK
    Yonsei Med J; 2024 May; 65(5):283-292. PubMed ID: 38653567
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MRI radiomics to differentiate between low grade glioma and glioblastoma peritumoral region.
    Malik N; Geraghty B; Dasgupta A; Maralani PJ; Sandhu M; Detsky J; Tseng CL; Soliman H; Myrehaug S; Husain Z; Perry J; Lau A; Sahgal A; Czarnota GJ
    J Neurooncol; 2021 Nov; 155(2):181-191. PubMed ID: 34694564
    [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. Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas.
    Liu Z; Wang Y; Liu X; Du Y; Tang Z; Wang K; Wei J; Dong D; Zang Y; Dai J; Jiang T; Tian J
    Neuroimage Clin; 2018; 19():271-278. PubMed ID: 30035021
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
    Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
    Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of a nomograph integrating radiomics and deep features based on MRI to predict the prognosis of high grade Gliomas.
    Wang Y; Shao Q; Luo S; Fu R
    Math Biosci Eng; 2021 Sep; 18(6):8084-8095. PubMed ID: 34814290
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.
    Li Y; Liu X; Qian Z; Sun Z; Xu K; Wang K; Fan X; Zhang Z; Li S; Wang Y; Jiang T
    Eur Radiol; 2018 Jul; 28(7):2960-2968. PubMed ID: 29404769
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status.
    Park YW; Kim S; Park CJ; Ahn SS; Han K; Kang SG; Chang JH; Kim SH; Lee SK
    Eur Radiol; 2022 Dec; 32(12):8089-8098. PubMed ID: 35763095
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.
    Cao H; Erson-Omay EZ; Li X; Günel M; Moliterno J; Fulbright RK
    Eur Radiol; 2020 Jun; 30(6):3073-3082. PubMed ID: 32025832
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.