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 *

614 related articles for article (PubMed ID: 31606714)

  • 1. Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors.
    Tan Y; Mu W; Wang XC; Yang GQ; Gillies RJ; Zhang H
    Eur J Radiol; 2019 Nov; 120():108609. PubMed ID: 31606714
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
    Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
    Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas.
    Liu X; Li Y; Qian Z; Sun Z; Xu K; Wang K; Liu S; Fan X; Li S; Zhang Z; Jiang T; Wang Y
    Neuroimage Clin; 2018; 20():1070-1077. PubMed ID: 30366279
    [TBL] [Abstract][Full Text] [Related]  

  • 4. BTK Expression Level Prediction and the High-Grade Glioma Prognosis Using Radiomic Machine Learning Models.
    Jiang C; Sun C; Wang X; Ma S; Jia W; Zhang D
    J Imaging Inform Med; 2024 Aug; 37(4):1359-1374. PubMed ID: 38381384
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction.
    Qian Z; Li Y; Sun Z; Fan X; Xu K; Wang K; Li S; Zhang Z; Jiang T; Liu X; Wang Y
    Aging (Albany NY); 2018 Oct; 10(10):2884-2899. PubMed ID: 30362964
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
    Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
    Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas.
    Jiang C; Kong Z; Zhang Y; Liu S; Liu Z; Chen W; Liu P; Liu D; Wang Y; Lyu Y; Zhao D; Wang Y; You H; Feng F; Ma W
    Neuroradiology; 2020 Jul; 62(7):803-813. PubMed ID: 32239241
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer.
    Park H; Lim Y; Ko ES; Cho HH; Lee JE; Han BK; Ko EY; Choi JS; Park KW
    Clin Cancer Res; 2018 Oct; 24(19):4705-4714. PubMed ID: 29914892
    [No 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. 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]  

  • 16. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
    Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
    Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma.
    Joo B; Han K; Ahn SS; Choi YS; Chang JH; Kang SG; Kim SH; Zhou J; Lee SK
    Eur Radiol; 2019 Dec; 29(12):6643-6652. PubMed ID: 31175415
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma.
    Yuan Y; Ren J; Shi Y; Tao X
    Eur J Radiol; 2019 Aug; 117():193-198. PubMed ID: 31307647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 31.