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

  • Dades identificatives

    Identificador: PC:1808
    Handle: https://hdl.handle.net/20.500.11797/PC1808
    Autors:
    Marylène LejeuneCristina CallauAnna KorzynskaMarcial GarcíaGloria BuenoRamon BoschJoaquín JaénGuifré OreroTeresa SalvadóCarlos López
    Resum:
    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.

  • Altres:

    Autor segons l'article: Marylène Lejeune; Cristina Callau; Anna Korzynska; Marcial García; Gloria Bueno; Ramon Bosch; Joaquín Jaén; Guifré Orero; Teresa Salvadó; Carlos López
    Departament: Ciències Mèdiques Bàsiques
    e-ISSN: 1475-925X
    Autor/s de la URV: LEJEUNE, MARYLÈNE ; Cristina Callau; Anna Korzynska; Marcial García; Gloria Bueno; Ramon Bosch; Joaquín Jaén; Guifré Orero; Teresa Salvadó; Carlos López
    Paraules clau: image processing
    Resum: 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.
    Grup de recerca: Patologia Oncològica i Bioinformàtica 2016
    Àrees temàtiques: Ciències de la salut Ciencias de la salud Health sciences
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Identificador de l'autor: N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D
    Data d'alta del registre: 2016-07-29
    Volum de revista: 14
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: http://www.biomedical-engineering-online.com/supplements/14/S2.
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1186/1475-925X-14-S2-S2
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2016
    Tipus de publicació: Article Artículo Article

  • Paraules clau:

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

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