Modified true-color computer-assisted image analysis versus subjective scoring of estrogen receptor expression in breast cancer: a comparison.
Anticancer Res
; 19(3B): 2189-93, 1999.
Article
en En
| MEDLINE
| ID: mdl-10472329
ABSTRACT
BACKGROUND:
Hormone receptor expression can be quantified by computerized image analysis in immunohistochemically stained specimens. When comparing semiquantitative scoring with computerized image analysis a review of the literature shows contradictory findings concerning the correlation of these two methods. Recent technical approaches have been developed with true-color computer-assisted image analysis facilitating new measurement designs. We performed a study with a new approach using the principle of semiquantitative assessment of hormone receptor content and measuring two different binary images (immunohistochemically stained nuclear area and total nuclear area). MATERIAL ANDMETHODS:
Eighty formalin-fixed, paraffin-embedded and immunohistochemically stained breast cancer specimens were assessed for estrogen receptor expression by true color computer-assisted image analysis and by conventional light microscopy scoring according to Remmele (immunoreactive score (IRS) = staining intensity (SI) x percentage of positive cells (PP)). The results of both methods were correlated.RESULTS:
Mean optical density (MOD) and subjective scoring of SI as well as stained nuclear area vs. total nuclear area and subjective scoring of stained cells (PP) showed a high correlation (Spearman correlation coefficient 0.95, p-value 0.0001 and 0.64, p-value 0.0001, respectively).CONCLUSION:
On the basis of this new technical approach our results confirm the correlation of semiquantitative hormone receptor scoring and quantitative computer-assisted image analysis. We believe that by automating electronic analysis in the near future we will be able to establish reliable observer-independent evaluation of immunohistochemical variables ensuing comparability in multi-center trials and cost efficiency.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Neoplasias de la Mama
/
Inmunohistoquímica
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Interpretación de Imagen Asistida por Computador
/
Receptores de Estrógenos
Tipo de estudio:
Clinical_trials
Límite:
Female
/
Humans
Idioma:
En
Revista:
Anticancer Res
Año:
1999
Tipo del documento:
Article
País de afiliación:
Alemania