BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

202 related articles for article (PubMed ID: 36907040)

  • 1. Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.
    Li J; Qiu Z; Cao K; Deng L; Zhang W; Xie C; Yang S; Yue P; Zhong J; Lyu J; Huang X; Zhang K; Zou Y; Huang B
    Comput Methods Programs Biomed; 2023 May; 233():107466. PubMed ID: 36907040
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging-reporting and data system.
    Li J; Cao K; Lin H; Deng L; Yang S; Gao Y; Liang M; Lin C; Zhang W; Xie C; Zhang K; Luo J; Pan Z; Yue P; Zou Y; Huang B
    Eur Radiol; 2023 Apr; 33(4):2699-2709. PubMed ID: 36434397
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
    Yang X; Fan X; Lin S; Zhou Y; Liu H; Wang X; Zuo Z; Zeng Y
    J Magn Reson Imaging; 2024 Jun; 59(6):2238-2249. PubMed ID: 37855421
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.
    Xu Q; Zhu Q; Liu H; Chang L; Duan S; Dou W; Li S; Ye J
    J Magn Reson Imaging; 2022 Apr; 55(4):1251-1259. PubMed ID: 34462986
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation.
    Ye Y; Luo Z; Qiu Z; Cao K; Huang B; Deng L; Zhang W; Liu G; Zou Y; Zhang J; Li J
    Bioengineering (Basel); 2023 Nov; 10(12):. PubMed ID: 38135946
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
    Xu X; Zhang X; Tian Q; Wang H; Cui LB; Li S; Tang X; Li B; Dolz J; Ayed IB; Liang Z; Yuan J; Du P; Lu H; Liu Y
    J Magn Reson Imaging; 2019 May; 49(5):1489-1498. PubMed ID: 30252978
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.
    Wei Z; Liu H; Xv Y; Liao F; He Q; Xie Y; Lv F; Jiang Q; Xiao M
    Heliyon; 2024 Jan; 10(2):e24878. PubMed ID: 38304824
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study.
    Wei Z; Xv Y; Liu H; Li Y; Yin S; Xie Y; Chen Y; Lv F; Jiang Q; Li F; Xiao M
    Int J Surg; 2024 May; 110(5):2922-2932. PubMed ID: 38349205
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating radiomics with the vesical imaging-reporting and data system to predict muscle invasion of bladder cancer.
    Wang W; Li W; Wang K; Wu J; Qiu J; Zhang Y; Zhang X; Wang H; Wang X
    Urol Oncol; 2023 Jun; 41(6):294.e1-294.e8. PubMed ID: 36526525
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion.
    Huang G; Cui Y; Wang P; Ren J; Wang L; Ma Y; Jia Y; Ma X; Zhao L
    Front Oncol; 2021; 11():663370. PubMed ID: 35096556
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
    Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y
    Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.
    Liu H; Yin H; Li J; Dong X; Zheng H; Zhang T; Yin Q; Zhang Z; Lu M; Zhang H; Wang D
    J Magn Reson Imaging; 2022 Dec; 56(6):1659-1668. PubMed ID: 35587946
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study.
    Wang H; Xu X; Zhang X; Liu Y; Ouyang L; Du P; Li S; Tian Q; Ling J; Guo Y; Lu H
    Eur Radiol; 2020 Sep; 30(9):4816-4827. PubMed ID: 32318846
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer.
    Xu S; Yao Q; Liu G; Jin D; Chen H; Xu J; Li Z; Wu G
    Eur Radiol; 2020 Mar; 30(3):1804-1812. PubMed ID: 31773297
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.
    Song H; Yang S; Yu B; Li N; Huang Y; Sun R; Wang B; Nie P; Hou F; Huang C; Zhang M; Wang H
    Cancer Imaging; 2023 Sep; 23(1):89. PubMed ID: 37723572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-task deep learning based on T2-Weighted Images for predicting Muscular-Invasive Bladder Cancer.
    Zou Y; Cai L; Chen C; Shao Q; Fu X; Yu J; Wang L; Chen Z; Yang X; Yuan B; Liu P; Lu Q
    Comput Biol Med; 2022 Dec; 151(Pt A):106219. PubMed ID: 36343408
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.
    Hou M; Zhou L; Sun J
    Eur Radiol; 2023 Jan; 33(1):1-10. PubMed ID: 35726100
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.
    Kozikowski M; Suarez-Ibarrola R; Osiecki R; Bilski K; Gratzke C; Shariat SF; Miernik A; Dobruch J
    Eur Urol Focus; 2022 May; 8(3):728-738. PubMed ID: 34099417
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.