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
Enlace a la fuente original: https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/1475-925X-14-S2-S2
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
DOI del artículo: 10.1186/1475-925X-14-S2-S2
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2015
Tipo de publicación: Journal Publications
Repositori URV