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1.
Am J Clin Pathol ; 126(1): 55-8, 2006 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-16753605

RESUMO

The prognostic and therapeutic implications of HER-2 gene amplification and estrogen and progesterone receptor status in breast cancer are well described. To address the relative paucity of information concerning HER-2 amplification for tubular carcinomas, we assessed the frequency of gene amplification in 55 tubular carcinomas of the breast from 54 patients, 5 of which had axillary node metastases. The HER-2 gene copy number was assessed by fluorescence in situ hybridization for the majority of tumors analyzed, whereas estrogen and progesterone receptor status was achieved by immunohistochemical analysis. HER-2 gene amplification was not observed in any of the tumors examined, and most were estrogen receptor-positive. This HER-2 gene amplification frequency was significantly lower than the frequency of gene amplification previously reported for all invasive ductal carcinoma of no special type (P < .01). HER-2 gene amplification likely occurs infrequently, or not at all, in tubular carcinomas of the breast, whereas most express estrogen receptors.


Assuntos
Adenocarcinoma/genética , Neoplasias da Mama/genética , Amplificação de Genes , Genes erbB-2 , Receptor ErbB-2/genética , Adenocarcinoma/metabolismo , Adenocarcinoma/secundário , Axila , Biomarcadores Tumorais/metabolismo , Neoplasias da Mama/metabolismo , Neoplasias da Mama/patologia , Feminino , Dosagem de Genes , Humanos , Hibridização in Situ Fluorescente , Linfonodos/patologia , Metástase Linfática , Receptor ErbB-2/metabolismo , Receptores de Estrogênio/metabolismo , Receptores de Progesterona/metabolismo , Estudos Retrospectivos
3.
Anal Quant Cytol Histol ; 25(6): 321-31, 2003 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-14714298

RESUMO

OBJECTIVE: To develop an automated, reproducible epithelial cell nuclear segmentation method to quantify cytologic features quickly and accurately from breast biopsy. STUDY DESIGN: The method, based on fuzzy c-mean clustering of the hue-band of color images and the watershed transform, was applied to 39 images from 3 histologic types (typical hyperplasia, atypical hyperplasia, and ductal carcinoma in situ [cribriform and solid]). RESULTS: The performance of the segmentation algorithm was evaluated by visually determining the percentage of badly segmented nuclei (approximately 25% for all types), the percentage of nuclei that remained in clumps (4.5-16.7%) and the percentage of missed nuclei (0.4-1.5%) for each image. CONCLUSION: The segmentation algorithm was sensitive in that a small percentage of nuclei were missed. However, the percentage of badly segmented nuclei was on the order of 25%, and the percentage of nuclei that remained in clumps was on the order of 10% of the total number of nuclei in the duct. Even so, > 600 nuclei per duct, on average, were segmented correctly; that was a sufficient number by which to calculate accurate quantitative, cytologic, morphometric measurements of epithelial cell nuclei in stained tissue sections of breast biopsy.


Assuntos
Neoplasias da Mama/patologia , Mama/patologia , Núcleo Celular/patologia , Amarelo de Eosina-(YS) , Hematoxilina , Interpretação de Imagem Assistida por Computador , Processamento de Imagem Assistida por Computador , Algoritmos , Automação , Biópsia , Carcinoma Ductal de Mama/patologia , Cor , Feminino , Humanos , Hiperplasia/patologia , Processamento de Imagem Assistida por Computador/métodos , Imuno-Histoquímica/métodos , Reprodutibilidade dos Testes , Coloração e Rotulagem/métodos
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