A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue.

Laurinavicius, Arvydas; Plancoulaine, Benoit; Laurinaviciene, Aida; Herlin, Paulette; Meskauskas, Raimundas; Baltrusaityte, Indra; Besusparis, Justinas; Dasevicius, Darius; Elie, Nicolas; Iqbal, Yasir; Bor, Catherine

Laurinavicius, Arvydas; Plancoulaine, Benoit; Laurinaviciene, Aida; Herlin, Paulette; Meskauskas, Raimundas; Baltrusaityte, Indra; Besusparis, Justinas; Dasevicius, Darius; Elie, Nicolas; Iqbal, Yasir; Bor, Catherine.

Breast Cancer Res ; 16(2): R35, 2014.

Article in En | MEDLINE | ID: mdl-24708745

Subject(s)

Breast Neoplasms/metabolism; Carcinoma, Ductal, Breast/metabolism; Image Processing, Computer-Assisted/methods; Immunohistochemistry/methods; Ki-67 Antigen/analysis; Algorithms; Analysis of Variance; Breast Neoplasms/diagnosis; Carcinoma, Ductal, Breast/diagnosis; Cell Proliferation; Female; Humans; Immunohistochemistry/instrumentation; Linear Models; Mitotic Index; Prognosis; Reproducibility of Results; Sensitivity and Specificity; Tissue Array Analysis/methods

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Breast Neoplasms / Immunohistochemistry / Carcinoma, Ductal, Breast / Ki-67 Antigen Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Breast Cancer Res Journal subject: NEOPLASIAS Year: 2014 Document type: Article Country of publication: United kingdom

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