BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 31412169)

  • 1. Performance of an artificial intelligence algorithm for reporting urine cytopathology.
    Sanghvi AB; Allen EZ; Callenberg KM; Pantanowitz L
    Cancer Cytopathol; 2019 Oct; 127(10):658-666. PubMed ID: 31412169
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Fully Automated Artificial Intelligence System to Assist Pathologists' Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning.
    Tsuji K; Kaneko M; Harada Y; Fujihara A; Ueno K; Nakanishi M; Konishi E; Takamatsu T; Horiguchi G; Teramukai S; Ito-Ihara T; Ukimura O
    Eur Urol Oncol; 2024 Apr; 7(2):258-265. PubMed ID: 38065702
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reclassification of urinary cytology regarding The Paris System for Reporting Urinary Cytology with cytohistological correlation demonstrates high sensitivity for high-grade urothelial carcinoma.
    Anbardar MH; Monjazeb R
    Diagn Cytopathol; 2020 May; 48(5):446-452. PubMed ID: 31976626
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study.
    Zhang Z; Fu X; Liu J; Huang Z; Liu N; Fang F; Rao J
    Acta Cytol; 2021; 65(4):335-341. PubMed ID: 33022673
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Split-sample comparison of urothelial cells in ThinPrep and cytospin preparations in urinary cytology: Do we need to adjust The Paris System for Reporting Urinary Cytology criteria?
    Richardson CJ; Pambuccian SE; Barkan GA
    Cancer Cytopathol; 2020 Feb; 128(2):119-125. PubMed ID: 31774630
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens.
    Nojima S; Terayama K; Shimoura S; Hijiki S; Nonomura N; Morii E; Okuno Y; Fujita K
    Cancer Cytopathol; 2021 Dec; 129(12):984-995. PubMed ID: 33979039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [What contribution can make artificial intelligence to urinary cytology?].
    Lacoste-Collin L
    Ann Pathol; 2024 May; 44(3):195-203. PubMed ID: 38614871
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An institutional experience with The Paris System: A paradigm shift from ambiguous terminology to more objective criteria for reporting urine cytology.
    Roy M; Kaushal S; Jain D; Seth A; Iyer VK; Mathur SR
    Cytopathology; 2017 Dec; 28(6):509-515. PubMed ID: 28833848
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.
    Ou YC; Tsao TY; Chang MC; Lin YS; Yang WL; Hang JF; Li CB; Lee CM; Yeh CH; Liu TJ
    Cancer Cytopathol; 2022 Nov; 130(11):872-880. PubMed ID: 35727052
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fluorescence in situ hybridization performed on exfoliated urothelial cells in patients with transitional cell carcinoma of the bladder.
    Degtyar P; Neulander E; Zirkin H; Yusim I; Douvdevani A; Mermershtain W; Kaneti J; Manor E
    Urology; 2004 Feb; 63(2):398-401. PubMed ID: 14972510
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnostic accuracy of DNA image cytometry and urinary cytology with cells from voided urine in the detection of bladder cancer.
    Planz B; Synek C; Robben J; Böcking A; Marberger M
    Urology; 2000 Nov; 56(5):782-6. PubMed ID: 11068301
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applicability of the Paris System for veterans: high rates of undiagnosed low-grade urothelial neoplasia.
    Chandler JB; Colunga M; Celli R; Lithgow MY; Baldassarri RJ
    J Am Soc Cytopathol; 2021; 10(4):357-365. PubMed ID: 33849782
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Urinary cytology and the Paris system for reporting urinary cytology: Implications for urological management.
    Gupta M; VandenBussche CJ; Bivalacqua TJ
    Cytopathology; 2018 Aug; 29(4):368-370. PubMed ID: 29575439
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of The Paris System to atypical urine cytology samples: correlation with histology and UroVysion
    Miki Y; Neat M; Chandra A
    Cytopathology; 2017 Apr; 28(2):88-95. PubMed ID: 27601215
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative cytomorphological comparison of SurePath and ThinPrep liquid-based cytology using high-grade urothelial carcinoma cells.
    Okuda C; Kyotake A; Nakamura A; Itoh T; Kamoshida S; Ohsaki H
    Cytopathology; 2021 Sep; 32(5):654-659. PubMed ID: 34033150
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnostic Advances in Urine Cytology.
    Xing J; Reynolds JP
    Surg Pathol Clin; 2018 Sep; 11(3):601-610. PubMed ID: 30190143
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Urinary BTA-TRAK in the follow-up of superficial transitional-cell bladder carcinoma].
    Fernández Gómez JM; García Rodríguez J; Escaf Barmadah S; Raigoso P; Rodríguez Martínez JJ; Allende MT; Casasola Chamorro J; Rodríguez Faba O; Martín Benito JL; Regadera Sejas FJ
    Arch Esp Urol; 2002; 55(1):41-9. PubMed ID: 11957750
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Digitized microscopy in the diagnosis of bladder cancer: analysis of >3000 cases during a 7-month period.
    Marganski WA; El-Sirgany Costa V; Kilpatrick MW; Tafas T; Yim J; Matthews M
    Cancer Cytopathol; 2011 Aug; 119(4):279-89. PubMed ID: 21413160
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variability among observers utilizing the CellSolutions BestCyte Cell Sorter imaging system for the assessment of urinary tract cytology specimens.
    Gelwan E; Zhang ML; Allison DB; Cowan ML; DeLuca J; Fite JJ; Wangsiricharoen S; Williamson B; Zhou A; VandenBussche CJ
    J Am Soc Cytopathol; 2019; 8(1):18-26. PubMed ID: 30929755
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fluorescence in situ hybridization (FISH) in the diagnosis of bladder and upper tract urothelial carcinoma: the largest single-institution experience to date.
    Gomella LG; Mann MJ; Cleary RC; Hubosky SG; Bagley DH; Thumar AB; McCue PA; Lallas CD; Trabulsi EJ
    Can J Urol; 2017 Feb; 24(1):8620-8626. PubMed ID: 28263126
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.