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

  • Datos identificativos

    Identificador: imarina:6388522
    Handle: https://hdl.handle.net/20.500.11797/imarina6388522
    Autores:
    Callau, CristinaLejeune, MaryleneKorzynska, AnnaGarcia, MarcialBueno, GloriaBosch, RamonJaen, JoaquinOrero, GuifreSalvado, TeresaLopez, Carlos
    Resumen:
    © 2015 Callau et al. 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.

  • Otros:

    Autor según el artículo: Callau, Cristina; Lejeune, Marylene; Korzynska, Anna; Garcia, Marcial; Bueno, Gloria; Bosch, Ramon; Jaen, Joaquin; Orero, Guifre; Salvado, Teresa; Lopez, Carlos
    Departamento: Ciències Mèdiques Bàsiques
    Autor/es de la URV: Bosch Príncep, Ramon / Lejeune, Marylène Marie / López Navarro, Carolina / Lopez Pablo, Carlos
    Palabras clave: Tumour markers Tissue array analysis Observer variation Keratin-19 Immunohistochemistry Image processing, computer-assisted Image processing Humans Breast neoplasms Biomarkers, tumor Automation Algorithms
    Resumen: © 2015 Callau et al. 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.
    Áreas temáticas: Saúde coletiva Radiology, nuclear medicine and imaging Radiological and ultrasound technology Psicología Odontología Medicine (miscellaneous) Medicina iii Medicina ii Medicina i Interdisciplinar Engineering, biomedical Engenharias iv Engenharias iii Educação física Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Biomedical engineering Biomaterials Astronomia / física Administração pública e de empresas, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1475925X
    Direcció de correo del autor: ramon.bosch@urv.cat carlos.lopez@urv.cat carolina.lopez@urv.cat marylenemarie.lejeune@urv.cat ramon.bosch@urv.cat
    Identificador del autor: 0000-0003-1248-3065 0000-0001-8441-9404
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Biomedical Engineering Online. 14 (2): S2-
    Referencia de l'ítem segons les normes APA: Callau, Cristina; Lejeune, Marylene; Korzynska, Anna; Garcia, Marcial; Bueno, Gloria; Bosch, Ramon; Jaen, Joaquin; Orero, Guifre; Salvado, Teresa; Lop (2015). Evaluation of cytokeratin-19 in breast cancer tissue samples: A comparison of automatic and manual evaluations of scanned tissue microarray cylinders. Biomedical Engineering Online, 14(2), S2-. DOI: 10.1186/1475-925X-14-S2-S2
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2015
    Tipo de publicación: Journal Publications

  • Palabras clave:

    Biomaterials,Biomedical Engineering,Engineering, Biomedical,Medicine (Miscellaneous),Radiological and Ultrasound Technology,Radiology, Nuclear Medicine and Imaging
    Tumour markers
    Tissue array analysis
    Observer variation
    Keratin-19
    Immunohistochemistry
    Image processing, computer-assisted
    Image processing
    Humans
    Breast neoplasms
    Biomarkers, tumor
    Automation
    Algorithms
    Saúde coletiva
    Radiology, nuclear medicine and imaging
    Radiological and ultrasound technology
    Psicología
    Odontología
    Medicine (miscellaneous)
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Engineering, biomedical
    Engenharias iv
    Engenharias iii
    Educação física
    Ciências biológicas ii
    Ciências biológicas i
    Ciência da computação
    Biotecnología
    Biomedical engineering
    Biomaterials
    Astronomia / física
    Administração pública e de empresas, ciências contábeis e turismo

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