Articles producció científica> Ciències Mèdiques Bàsiques

Evaluation of cytokeratin-19 in breast cancer tissue samples: A comparison of automatic and manual evaluations of scanned tissue microarray cylinders

  • Identification data

    Identifier: PC:1808
    Handle: https://hdl.handle.net/20.500.11797/PC1808
    Authors:
    Marylène LejeuneCristina CallauAnna KorzynskaMarcial GarcíaGloria BuenoRamon BoschJoaquín JaénGuifré OreroTeresa SalvadóCarlos López
    Abstract:
    Background: Digital image (DI) analysis avoids visual subjectivity in interpreting immunohistochemical stains and provides more reproducible results. An automated procedure consisting of two variant methods for quantifying the cytokeratin-19 (CK19) marker in breast cancer tissues is presented. Methods: The first method (A) excludes the holes inside selected CK19 stained areas, and the second (B) includes them. 93 DIs scanned from complete cylinders of tissue microarrays were evaluated visually by two pathologists and by the automated procedures. Results and conclusions: There was good concordance between the two automated methods, both of which tended to identify a smaller CK19-positive area than did the pathologists. The results obtained with method B were more similar to those of the pathologists; probably because it takes into account the entire positive tumoural area, including the holes. However, the pathologists overestimated the positive area of CK19. Further studies are needed to confirm the utility of this automated procedure in prognostic studies.

  • Others:

    Author, as appears in the article.: Marylène Lejeune; Cristina Callau; Anna Korzynska; Marcial García; Gloria Bueno; Ramon Bosch; Joaquín Jaén; Guifré Orero; Teresa Salvadó; Carlos López
    Department: Ciències Mèdiques Bàsiques
    e-ISSN: 1475-925X
    URV's Author/s: LEJEUNE, MARYLÈNE ; Cristina Callau; Anna Korzynska; Marcial García; Gloria Bueno; Ramon Bosch; Joaquín Jaén; Guifré Orero; Teresa Salvadó; Carlos López
    Keywords: image processing
    Abstract: Background: Digital image (DI) analysis avoids visual subjectivity in interpreting immunohistochemical stains and provides more reproducible results. An automated procedure consisting of two variant methods for quantifying the cytokeratin-19 (CK19) marker in breast cancer tissues is presented. Methods: The first method (A) excludes the holes inside selected CK19 stained areas, and the second (B) includes them. 93 DIs scanned from complete cylinders of tissue microarrays were evaluated visually by two pathologists and by the automated procedures. Results and conclusions: There was good concordance between the two automated methods, both of which tended to identify a smaller CK19-positive area than did the pathologists. The results obtained with method B were more similar to those of the pathologists; probably because it takes into account the entire positive tumoural area, including the holes. However, the pathologists overestimated the positive area of CK19. Further studies are needed to confirm the utility of this automated procedure in prognostic studies.
    Research group: Patologia Oncològica i Bioinformàtica 2016
    Thematic Areas: Ciències de la salut Ciencias de la salud Health sciences
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author identifier: N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D
    Record's date: 2016-07-29
    Journal volume: 14
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: http://www.biomedical-engineering-online.com/supplements/14/S2.
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1186/1475-925X-14-S2-S2
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    Publication Type: Article Artículo Article

  • Keywords:

    Mama -- Càncer
    Queratina -- Metabolisme
    image processing
    Ciències de la salut
    Ciencias de la salud
    Health sciences

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