BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

Terms: = Liver cancer AND FUBP1, FBP, 8880, ENSG00000162613, FUBP
78 results:

  • 1. An Evaluation Analysis for Computed Tomography Image Quality of Primary liver cancer Lesions Based on Deep Learning Image Reconstruction.
    Sun Y; Sun DZ; Han CL
    Curr Med Imaging; 2024; 20():1-6. PubMed ID: 38389358
    [TBL] [Abstract] [Full Text] [Related]  

  • 2. Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.
    Li S; Yuan L; Lu T; Yang X; Ren W; Wang L; Zhao J; Deng J; Liu X; Xue C; Sun Q; Zhang W; Zhou J
    Eur J Radiol; 2023 Nov; 168():111128. PubMed ID: 37816301
    [TBL] [Abstract] [Full Text] [Related]  

  • 3. The expression and clinical value of LRP11, fubp1 and TET1 in cervical cancer.
    Zhao X; Li S; Wen J; Li Y
    Cell Mol Biol (Noisy-le-grand); 2023 Jul; 69(7):80-84. PubMed ID: 37715422
    [TBL] [Abstract] [Full Text] [Related]  

  • 4. Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.
    Lee H; Chang W; Kim HY; Sung P; Cho J; Lee YJ; Kim YH
    Eur Radiol; 2024 Mar; 34(3):2036-2047. PubMed ID: 37656175
    [TBL] [Abstract] [Full Text] [Related]  

  • 5. Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
    Lyu P; Liu N; Harrawood B; Solomon J; Wang H; Chen Y; Rigiroli F; Ding Y; Schwartz FR; Jiang H; Lowry C; Wang L; Samei E; Gao J; Marin D
    Eur Radiol; 2023 Mar; 33(3):1629-1640. PubMed ID: 36323984
    [TBL] [Abstract] [Full Text] [Related]  

  • 6. Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images.
    Chen Q; Xiao H; Gu Y; Weng Z; Wei L; Li B; Liao B; Li J; Lin J; Hei M; Peng S; Wang W; Kuang M; Chen S
    Hepatol Int; 2022 Jun; 16(3):590-602. PubMed ID: 35349075
    [TBL] [Abstract] [Full Text] [Related]  

  • 7. Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study.
    Michallek F; Genske U; Niehues SM; Hamm B; Jahnke P
    Eur Radiol; 2022 Jul; 32(7):4587-4595. PubMed ID: 35174400
    [TBL] [Abstract] [Full Text] [Related]  

  • 8. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of liver Metastases.
    Jensen CT; Gupta S; Saleh MM; Liu X; Wong VK; Salem U; Qiao W; Samei E; Wagner-Bartak NA
    Radiology; 2022 Apr; 303(1):90-98. PubMed ID: 35014900
    [TBL] [Abstract] [Full Text] [Related]  

  • 9. fubp1 promotes colorectal cancer stemness and metastasis via DVL1-mediated activation of Wnt/β-catenin signaling.
    Yin H; Gao T; Xie J; Huang Z; Zhang X; Yang F; Qi W; Yang Z; Zhou T; Gao G; Yang X
    Mol Oncol; 2021 Dec; 15(12):3490-3512. PubMed ID: 34288405
    [TBL] [Abstract] [Full Text] [Related]  

  • 10. Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction.
    Racine D; Brat HG; Dufour B; Steity JM; Hussenot M; Rizk B; Fournier D; Zanca F
    Eur J Radiol; 2021 Aug; 141():109808. PubMed ID: 34120010
    [TBL] [Abstract] [Full Text] [Related]  

  • 11. Differentially Expressed Long Noncoding RNAs Involved in fubp1 Promoting Hepatocellular Carcinoma Cells Proliferation.
    Li X; Yu H; Xu F; Wu Y; Sheng J
    Biomed Res Int; 2021; 2021():6664519. PubMed ID: 33954195
    [TBL] [Abstract] [Full Text] [Related]  

  • 12. Effect of obesity on ability to lower exposure for detection of low-attenuation liver lesions.
    Herts BR; Schreiner A; Dong F; Primak A; Bullen J; Karim W; Nachand D; Hunter S; Baker ME
    J Appl Clin Med Phys; 2021 Feb; 22(2):138-144. PubMed ID: 33368998
    [TBL] [Abstract] [Full Text] [Related]  

  • 13. A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case-control study.
    Debernardi S; O'Brien H; Algahmdi AS; Malats N; Stewart GD; Plješa-Ercegovac M; Costello E; Greenhalf W; Saad A; Roberts R; Ney A; Pereira SP; Kocher HM; Duffy S; Blyuss O; Crnogorac-Jurcevic T
    PLoS Med; 2020 Dec; 17(12):e1003489. PubMed ID: 33301466
    [TBL] [Abstract] [Full Text] [Related]  

  • 14. Impact of iterative reconstructions on image quality and detectability of focal liver lesions in low-energy monochromatic images.
    Greffier J; Frandon J; Hamard A; Teissier JM; Pasquier H; Beregi JP; Dabli D
    Phys Med; 2020 Sep; 77():36-42. PubMed ID: 32771702
    [TBL] [Abstract] [Full Text] [Related]  

  • 15. The Reverse Warburg Effect is Associated with fbp2-Dependent Hif1α Regulation in cancer Cells Stimulated by Fibroblasts.
    Duda P; Janczara J; McCubrey JA; Gizak A; Rakus D
    Cells; 2020 Jan; 9(1):. PubMed ID: 31947613
    [TBL] [Abstract] [Full Text] [Related]  

  • 16. The value of iterative metal artifact reduction algorithms during antenna positioning for CT-guided microwave ablation.
    Do TD; Melzig C; Vollherbst DF; Pereira PL; Kauczor HU; Kachelrieß M; Sommer CM
    Int J Hyperthermia; 2019; 36(1):1223-1232. PubMed ID: 31814464
    [No Abstract]    [Full Text] [Related]  

  • 17. Far upstream element-binding protein 1 facilitates hepatocellular carcinoma invasion and metastasis.
    Fu PY; Hu B; Ma XL; Tang WG; Yang ZF; Sun HX; Yu MC; Huang A; Hu JW; Zhou CH; Fan J; Xu Y; Zhou J
    Carcinogenesis; 2020 Jul; 41(7):950-960. PubMed ID: 31587040
    [TBL] [Abstract] [Full Text] [Related]  

  • 18. Association of Leukemia Target Genes
    Li J; Zhang W; Liu W; Rong J; Chen Y; Gu W; Zhang W
    Cancer Genomics Proteomics; 2019; 16(5):333-344. PubMed ID: 31467227
    [TBL] [Abstract] [Full Text] [Related]  

  • 19. CT iterative reconstruction algorithms: a task-based image quality assessment.
    Greffier J; Frandon J; Larbi A; Beregi JP; Pereira F
    Eur Radiol; 2020 Jan; 30(1):487-500. PubMed ID: 31359122
    [TBL] [Abstract] [Full Text] [Related]  

  • 20. Localization of liver lesions in abdominal CT imaging: II. Mathematical model observer performance correlates with human observer performance for localization of liver lesions in abdominal CT imaging.
    Dilger SKN; Leng S; Chen B; Carter RE; Favazza CP; Fletcher JG; McCollough CH; Yu L
    Phys Med Biol; 2019 May; 64(10):105012. PubMed ID: 30995626
    [TBL] [Abstract] [Full Text] [Related]  


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