Image analysis system for assessment of immunohistochemically stained proliferative marker (MIB-1) in oesophageal squamous cell carcinoma

Image analysis system for assessment of immunohistochemically stained proliferative marker (MIB-1) in oesophageal squamous cell carcinoma

The prognosis of oesophageal cancer patients is related to the portion of MIB-1 positively stained tumour nuclei. In this study, an image analysis system was developed based on LEICA Image Processing and Analysis System to reduce the subjective, tedious and inaccurate manual counting of nuclei stain...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine Vol. 70; no. 1; pp. 37 - 45
Main Authors: Law, Albert K.W, Lam, K.Y, Lam, F.K, Wong, Teresa K.W, Poon, Jacky L.S, Chan, Francis H.Y
Format: Journal Article
Language:English
Published: Shannon Elsevier Ireland Ltd 2003
Elsevier Science
Subjects:
Biological and medical sciences
Biomarkers - analysis
Carcinoma, Squamous Cell - metabolism
Carcinoma, Squamous Cell - pathology
Esophageal Neoplasms - metabolism
Esophageal Neoplasms - pathology
Humans
Image analysis
Immunohistochemistry
Medical sciences
MIB-1
Nuclei counting
Oesophageal carcinoma
Reproducibility of Results
Image analysis
MIB-1
Oesophageal carcinoma
Nuclei counting
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Summary:The prognosis of oesophageal cancer patients is related to the portion of MIB-1 positively stained tumour nuclei. In this study, an image analysis system was developed based on LEICA Image Processing and Analysis System to reduce the subjective, tedious and inaccurate manual counting of nuclei staining. Representative oesophageal cancer tissues were collected and immunohistochemical preparations of MIB-1 were made. The MIB-1 positive nuclei in these tumours were assessed by quantitative counting, semi-quantitative counting, and three computer assessment methods using leica qwin pro. Our results showed that computer assessment methods were reliable and consistent. The procedure using the system could be accomplished within 15 min. Overlapped or missed counting of nuclei by the observer were eliminated. The image analysis system can really assist experts in obtaining reliable data for the prognosis of oesophageal cancer patients quickly.
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ISSN:0169-2607
1872-7565
DOI:10.1016/S0169-2607(02)00025-1