Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer

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dc.contributor.author Konsti, Juho -
dc.contributor.author Lundin, Mikael -
dc.contributor.author Joensuu, Heikki -
dc.contributor.author Holli, Kaija (Tay) -
dc.contributor.author Isola, Jorma (Tay) -
dc.date.accessioned 2012-06-17T20:14:12Z
dc.date.available 2012-06-15 14:50:26 -
dc.date.available 2012-06-17T20:14:12Z
dc.date.issued 2011 -
dc.identifier.issn 1472-6890 -
dc.identifier.uri http://tampub.uta.fi/handle/10024/65873
dc.description BioMed Central open access -
dc.description.abstract Background The aim of the study was to develop a virtual microscopy enabled method for assessment of Ki-67 expression and to study the prognostic value of the automated analysis in a comprehensive series of patients with breast cancer. Methods Using a previously reported virtual microscopy platform and an open source image processing tool, ImageJ, a method for assessment of immunohistochemically (IHC) stained area and intensity was created. A tissue microarray (TMA) series of breast cancer specimens from 1931 patients was immunostained for Ki-67, digitized with a whole slide scanner and uploaded to an image web server. The extent of Ki-67 staining in the tumour specimens was assessed both visually and with the image analysis algorithm. The prognostic value of the computer vision assessment of Ki-67 was evaluated by comparison of distant disease-free survival in patients with low, moderate or high expression of the protein. Results 1648 evaluable image files from 1334 patients were analysed in less than two hours. Visual and automated Ki-67 extent of staining assessments showed a percentage agreement of 87% and weighted kappa value of 0.57. The hazard ratio for distant recurrence for patients with a computer determined moderate Ki-67 extent of staining was 1.77 (95% CI 1.31-2.37) and for high extent 2.34 (95% CI 1.76-3.10), compared to patients with a low extent. In multivariate survival analyses, automated assessment of Ki-67 extent of staining was retained as a significant prognostic factor. Conclusions Running high-throughput automated IHC algorithms on a virtual microscopy platform is feasible. Comparison of visual and automated assessments of Ki-67 expression shows moderate agreement. In multivariate survival analysis, the automated assessment of Ki-67 extent of staining is a significant and independent predictor of outcome in breast cancer. -
dc.language.iso en -
dc.title Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer -
dc.type fi=Artikkeli aikakauslehdessä | en=Journal article| -
dc.identifier.urn urn:nbn:uta-3-635 -
dc.identifier.doi 10.1186/1472-6890-11-3 -
dc.type.version fi=Kustantajan versio | en=Publisher's version| -
dc.subject.okm fi=Syöpätaudit | en=Cancers| -
dc.administrativeunit fi=Biolääketieteellisen teknologian yksikkö | en=Institute of Biomedical Technology| -
dc.administrativeunit fi=Lääketieteen yksikkö | en=School of Medicine| -
dc.journal.title BMC Clinical Pathology -
dc.journal.volume 11 -
dc.journal.number 3 -
dc.journal.volumepagerange 1-11 -
dc.oldstats 57 -

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