BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

424 related articles for article (PubMed ID: 34757449)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma.
    Wang N; Bing X; Li Y; Yao J; Dai Z; Yu D; Ouyang A
    Medicine (Baltimore); 2024 Mar; 103(10):e37288. PubMed ID: 38457546
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma.
    Zhou Z; Qian X; Hu J; Ma X; Zhou S; Dai Y; Zhu J
    Abdom Radiol (NY); 2021 Jun; 46(6):2690-2698. PubMed ID: 33427908
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma.
    Gill TS; Varghese BA; Hwang DH; Cen SY; Aron M; Aron M; Duddalwar VA
    Abdom Radiol (NY); 2019 Apr; 44(4):1470-1480. PubMed ID: 30506142
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
    Sim KC; Han NY; Cho Y; Sung DJ; Park BJ; Kim MJ; Han YE
    J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):873-881. PubMed ID: 37948361
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Multiphase comparative study for WHO/ISUP nuclear grading diagnostic model based on enhanced CT images of clear cell renal cell carcinoma.
    Lu C; Xia Y; Han J; Chen W; Qiao X; Gao R; Jiang X
    Sci Rep; 2024 May; 14(1):12043. PubMed ID: 38802547
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CT-based radiomics model using stability selection for predicting the World Health Organization/International Society of Urological Pathology grade of clear cell renal cell carcinoma.
    Zhang H; Yin F; Chen M; Qi A; Yang L; Wen G
    Br J Radiol; 2024 May; 97(1158):1169-1179. PubMed ID: 38688660
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram.
    Cheng D; Abudikeranmu Y; Tuerdi B
    Curr Med Imaging; 2023; 19(9):1005-1017. PubMed ID: 36411581
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.
    Nie P; Yang G; Wang Y; Xu Y; Yan L; Zhang M; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Wang N; Duan S; Wang X; Wang Z
    Eur Radiol; 2023 Dec; 33(12):8858-8868. PubMed ID: 37389608
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.
    Sun X; Liu L; Xu K; Li W; Huo Z; Liu H; Shen T; Pan F; Jiang Y; Zhang M
    Medicine (Baltimore); 2019 Apr; 98(14):e15022. PubMed ID: 30946334
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.