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Simultaneous automatic scoring and co-registration of hormone receptors in tumour areas in whole slide images of breast cancer tissue slides
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Trahearn, Nicholas, Tsang, Yee-Wah, Cree, Ian A., Snead, David, Epstein, D. B. A. and Rajpoot, Nasir M. (2017) Simultaneous automatic scoring and co-registration of hormone receptors in tumour areas in whole slide images of breast cancer tissue slides. Cytometry Part A, 91 (6). pp. 585-594. doi:10.1002/cyto.a.23035 ISSN 1552-4922.
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Official URL: http://dx.doi.org/10.1002/cyto.a.23035
Abstract
Aims:
Automation of downstream analysis may offer many potential benefits to routine histopathology. One area of interest for automation is in the scoring of multiple immunohistochemical markers in order to predict the patient's response to targeted therapies. Automated serial slide analysis of this kind requires robust registration to identify common tissue regions across sections. We present an automated method for co-localised scoring of Estrogen Receptor and Progesterone Receptor (ER/PR) in breast cancer core biopsies using whole slide images.
Methods and Results:
Regions of tumour in a series of fifty consecutive breast core biopsies were identified by annotation on H&E whole slide images. Sequentially cut immunohistochemical stained sections were scored manually, before being digitally scanned and then exported into JPEG 2000 format. A two-stage registration process was performed to identify the annotated regions of interest in the immunohistochemistry sections, which were then scored using the Allred system. Overall correlation between manual and automated scoring for ER and PR was 0.944 and 0.883 respectively, with 90% of ER and 80% of PR scores within in one point or less of agreement.
Conclusions:
This proof of principle study indicates slide registration can be used as a basis for automation of the downstream analysis for clinically relevant biomarkers in the majority of cases. The approach is likely to be improved by implantation of safeguarding analysis steps post registration.
| Item Type: | Journal Article | ||||||||
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| Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Science > Mathematics Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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| Library of Congress Subject Headings (LCSH): | Breast -- Cancer -- Histopathology, Breast -- Biopsy | ||||||||
| Journal or Publication Title: | Cytometry Part A | ||||||||
| Publisher: | John Wiley & Sons Ltd. | ||||||||
| ISSN: | 1552-4922 | ||||||||
| Official Date: | 26 June 2017 | ||||||||
| Dates: |
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| Volume: | 91 | ||||||||
| Number: | 6 | ||||||||
| Page Range: | pp. 585-594 | ||||||||
| DOI: | 10.1002/cyto.a.23035 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 24 November 2016 | ||||||||
| Date of first compliant Open Access: | 23 December 2017 | ||||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), Omnyx LLC (Firm) |
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