BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 37080171)

  • 1. Radiogenomic Associations Clear Cell Renal Cell Carcinoma: An Exploratory Study.
    Liu DH; Dani KA; Reddy SS; Lei X; Demirjian NL; Hwang DH; Varghese BA; Rhie SK; Yap FY; Quinn DI; Siddiqi I; Aron M; Vaishampayan U; Zahoor H; Cen SY; Gill IS; Duddalwar VA
    Oncology; 2023; 101(6):375-388. PubMed ID: 37080171
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.
    Kocak B; Durmaz ES; Ates E; Ulusan MB
    AJR Am J Roentgenol; 2019 Mar; 212(3):W55-W63. PubMed ID: 30601030
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.
    Zeng H; Chen L; Wang M; Luo Y; Huang Y; Ma X
    Aging (Albany NY); 2021 Mar; 13(7):9960-9975. PubMed ID: 33795526
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas.
    Kocak B; Durmaz ES; Kaya OK; Kilickesmez O
    Acta Radiol; 2020 Jun; 61(6):856-864. PubMed ID: 31635476
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma.
    Demirjian NL; Varghese BA; Cen SY; Hwang DH; Aron M; Siddiqui I; Fields BKK; Lei X; Yap FY; Rivas M; Reddy SS; Zahoor H; Liu DH; Desai M; Rhie SK; Gill IS; Duddalwar V
    Eur Radiol; 2022 Apr; 32(4):2552-2563. PubMed ID: 34757449
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.
    He H; Jin Z; Dai J; Wang H; Sun J; Xu D
    Cancer Med; 2023 Mar; 12(6):7627-7638. PubMed ID: 36397666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
    Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
    Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CT-based radiomic model predicts high grade of clear cell renal cell carcinoma.
    Ding J; Xing Z; Jiang Z; Chen J; Pan L; Qiu J; Xing W
    Eur J Radiol; 2018 Jun; 103():51-56. PubMed ID: 29803385
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
    Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
    Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.
    Cui E; Li Z; Ma C; Li Q; Lei Y; Lan Y; Yu J; Zhou Z; Li R; Long W; Lin F
    Eur Radiol; 2020 May; 30(5):2912-2921. PubMed ID: 32002635
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.
    Luo S; Wei R; Lu S; Lai S; Wu J; Wu Z; Pang X; Wei X; Jiang X; Zhen X; Yang R
    Eur Radiol; 2022 Apr; 32(4):2340-2350. PubMed ID: 34636962
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma.
    Gao J; Ye F; Han F; Jiang H; Zhang J
    Front Immunol; 2022; 13():956679. PubMed ID: 36177018
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade.
    Shu J; Tang Y; Cui J; Yang R; Meng X; Cai Z; Zhang J; Xu W; Wen D; Yin H
    Eur J Radiol; 2018 Dec; 109():8-12. PubMed ID: 30527316
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.
    Kocak B; Ates E; Durmaz ES; Ulusan MB; Kilickesmez O
    Eur Radiol; 2019 Sep; 29(9):4765-4775. PubMed ID: 30747300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiogenomic analysis based on lipid metabolism-related subset for non-invasive prediction for prognosis of renal clear cell carcinoma.
    He H; Xie Y; Song F; Feng Z; Rong P
    Eur J Radiol; 2024 Jun; 175():111433. PubMed ID: 38554673
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.
    Lin F; Cui EM; Lei Y; Luo LP
    Abdom Radiol (NY); 2019 Jul; 44(7):2528-2534. PubMed ID: 30919041
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiogenomics of clear cell renal cell carcinoma: associations between CT imaging features and mutations.
    Karlo CA; Di Paolo PL; Chaim J; Hakimi AA; Ostrovnaya I; Russo P; Hricak H; Motzer R; Hsieh JJ; Akin O
    Radiology; 2014 Feb; 270(2):464-71. PubMed ID: 24029645
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comprehensive texture feature analysis framework of renal cell carcinoma: pathological, prognostic, and genomic evaluation based on CT images.
    Wu K; Wu P; Yang K; Li Z; Kong S; Yu L; Zhang E; Liu H; Guo Q; Wu S
    Eur Radiol; 2022 Apr; 32(4):2255-2265. PubMed ID: 34800150
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Enhanced computed tomography radiomics-based machine-learning methods for predicting the Fuhrman grades of renal clear cell carcinoma.
    Yin RH; Yang YC; Tang XQ; Shi HF; Duan SF; Pan CJ
    J Xray Sci Technol; 2021; 29(6):1149-1160. PubMed ID: 34657848
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.