Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1799
Title: Evaluation of fish image analysis system on assessing her2 amplification in breast carcinoma cases
Authors: Kasampalidis, Ioannis N. 
Karayannopoulou, Georgia 
Theodosiou, Zenonas 
Kostopoulos, Ioannis 
Bobos, Mattheos 
Bevilacqua, Generoso 
Aretini, Paolo 
Starita, Antonina 
Lyroudia, Kleoniki 
Pitas, Ioannis 
Major Field of Science: Medical and Health Sciences
Field Category: Medical Biotechnology
Keywords: Accuracy;Monoclonal antibodies;Antineoplastic agents;Computer interfaces
Issue Date: Feb-2008
Source: Breast, 2008, vol. 29, iss. 1, pp. 80-84
Volume: 29
Issue: 1
Start page: 80
End page: 84
Journal: The Breast 
Abstract: HER2-positive breast cancer is characterized by aggressive growth and poor prognosis. Women with metastatic breast cancer with over-expression of HER2 protein or excessive presence of HER2 gene copies are potential candidates for Herceptin (Trastuzumab) targeted treatment that binds to HER2 receptors on tumor cells and inhibits tumor cell growth. Fluorescence in situ hybridization (FISH) is one of the most widely used methods to determine HER2 status. Typically, evaluation of FISH images involves manual counting of FISH signals in multiple images, a time consuming and error prone procedure. Recently, we developed novel software for the automated evaluation of FISH images and, in this study, we present the first testing of this software on images from two separate research clinics. To our knowledge, this is the first concurrent evaluation of any FISH image analysis software in two different clinics. The evaluation shows that the developed FISH image analysis software can accelerate evaluation of HER2 status in most breast cancer cases.
URI: https://hdl.handle.net/20.500.14279/1799
ISSN: 1532-3080
DOI: 10.1016/j.breast.2007.07.041
Rights: © Elsevier
Type: Article
Affiliation: Aristotle University of Thessaloniki 
Affiliation : Aristotle University of Thessaloniki 
University Hospital of Pisa 
Institute of Molecular Genetics and Medicine 
University Hospital of Pisa 
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