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1.
Breast Dis ; 38(2): 73-79, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-30958325

RESUMEN

BACKGROUND: Proliferation rate is a major determinant of the biologic behavior of the tumor and provides information that can be used to guide treatment decisions. METHODS: This ring study included 27 pathologists from 14 Institutions, in order to assess inter-observer concordance between pathologists in Croatia. We analyzed Ki-67 proliferative index on ten randomly selected breast cancer samples comparing consistency between visual assessment using light microscopy compared to digital image analyses results from one central laboratory as a referral value. RESULTS: When we analyzed Ki-67 as numeric value high concordance rate was found between Ki-67 score visually assessed in all participating Institutions compared to referral value assessed by digital image analysis (ICC 0.76, 95% CI 0.58-0.91), and Krippendorff's alpha was 0.79 (95% CI 0.58-1.00). Concordance was better in slides with higher Ki-67 values. When we categorized Ki-67 values according to generally accepted 20% cut-off value we noticed the lower concordance rate among participants in our study. CONCLUSION: Proliferation remains one of the most important parameters for tumor characterization helpful in making clinical decisions, but it should be used with great caution. Standardization of the Ki-67 assessment is essential and proliferating index should be expressed as exact numeric value. For patients with proliferative index near the cut-off value, other factors must be considered in making clinical decisions.


Asunto(s)
Neoplasias de la Mama/patología , Proliferación Celular , Procesamiento de Imagen Asistido por Computador/normas , Antígeno Ki-67/análisis , Laboratorios de Hospital/normas , Automatización de Laboratorios/normas , Automatización de Laboratorios/estadística & datos numéricos , Neoplasias de la Mama/diagnóstico , Croacia , Estudios Transversales , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador/estadística & datos numéricos , Inmunohistoquímica , Laboratorios de Hospital/estadística & datos numéricos , Adhesión en Parafina
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