Booth, M, Treanor, D, Roberts, N et al. (3 more authors) (2015) Three dimensional reconstruction of ductal carcinoma in situ using virtual slides. Histopathology, 66 (7). 966 - 973. ISSN 0309-0167
Abstract
Aims This study aimed to assess the feasibility of using virtual slides to create 3D histopathological reconstructions to aid in the study of the biology of DCIS . Methods 4μm thick serial sections of formalin fixed paraffin embedded tissue from three cases were mounted onto glass slides, stained with haematoxylin and eosin, then scanned. The three image stacks comprised 30, 115 and 100 scanned sections creating a similar number of virtual slides. The virtual slides were registered using custom 3D software to create 3D tissue volumes. The volumes were annotated to highlight distinct features and 3D visualisations (segmentations) were created to study these features in 3D. Results The most time-intensive step was the manual annotation of virtual slides 3D histopathological reconstructions were created of a) DCIS surrounded by adjacent invasion; b) pure DCIS and c) a ‘normal’ lobule. Conclusion 3D in silico reconstructions of DCIS were created and more extensive studies can now be done within a realistic timescale. We have identified structural similarities between a benign lobule and DCIS which support the view that much DCIS, apparently in a ‘duct’ is contained within an expanded lobule. This method can potentially provide insights into the biology of DCIS.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is the peer reviewed version of the following article: Booth, M, Treanor, D, Roberts, N, Magee, DR, Speirs, V and Hanby, A (2014) Three dimensional reconstruction of ductal carcinoma in situ using virtual slides. Histopathology. ISSN 0309-0167, which has been published in final form at http://dx.doi.org/10.1111/his.12561. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving'. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Nov 2014 12:46 |
Last Modified: | 23 Oct 2015 01:39 |
Published Version: | http://dx.doi.org/10.1111/his.12561 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/his.12561 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80824 |