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Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
Ductal carcinoma in situ (DCIS) is a pre-invasive carcinoma of the breast that exhibits several distinct morphologies but the link between morphology and patient outcome is not clear. We hypothesize that different mechanisms of growth may still result in similar 2D morphologies, which may look diffe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435324/ https://www.ncbi.nlm.nih.gov/pubmed/22970156 http://dx.doi.org/10.1371/journal.pone.0044011 |
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author | Norton, Kerri-Ann Namazi, Sameera Barnard, Nicola Fujibayashi, Mariko Bhanot, Gyan Ganesan, Shridar Iyatomi, Hitoshi Ogawa, Koichi Shinbrot, Troy |
author_facet | Norton, Kerri-Ann Namazi, Sameera Barnard, Nicola Fujibayashi, Mariko Bhanot, Gyan Ganesan, Shridar Iyatomi, Hitoshi Ogawa, Koichi Shinbrot, Troy |
author_sort | Norton, Kerri-Ann |
collection | PubMed |
description | Ductal carcinoma in situ (DCIS) is a pre-invasive carcinoma of the breast that exhibits several distinct morphologies but the link between morphology and patient outcome is not clear. We hypothesize that different mechanisms of growth may still result in similar 2D morphologies, which may look different in 3D. To elucidate the connection between growth and 3D morphology, we reconstruct the 3D architecture of cribriform DCIS from resected patient material. We produce a fully automated algorithm that aligns, segments, and reconstructs 3D architectures from microscopy images of 2D serial sections from human specimens. The alignment algorithm is based on normalized cross correlation, the segmentation algorithm uses histogram equilization, Otsu's thresholding, and morphology techniques to segment the duct and cribra. The reconstruction method combines these images in 3D. We show that two distinct 3D architectures are indeed found in samples whose 2D histological sections are similarly identified as cribriform DCIS. These differences in architecture support the hypothesis that luminal spaces may form due to different mechanisms, either isolated cell death or merging fronds, leading to the different architectures. We find that out of 15 samples, 6 were found to have ‘bubble-like’ cribra, 6 were found to have ‘tube-like’ criba and 3 were ‘unknown.’ We propose that the 3D architectures found, ‘bubbles’ and ‘tubes’, account for some of the heterogeneity of the disease and may be prognostic indicators of different patient outcomes. |
format | Online Article Text |
id | pubmed-3435324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34353242012-09-11 Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ Norton, Kerri-Ann Namazi, Sameera Barnard, Nicola Fujibayashi, Mariko Bhanot, Gyan Ganesan, Shridar Iyatomi, Hitoshi Ogawa, Koichi Shinbrot, Troy PLoS One Research Article Ductal carcinoma in situ (DCIS) is a pre-invasive carcinoma of the breast that exhibits several distinct morphologies but the link between morphology and patient outcome is not clear. We hypothesize that different mechanisms of growth may still result in similar 2D morphologies, which may look different in 3D. To elucidate the connection between growth and 3D morphology, we reconstruct the 3D architecture of cribriform DCIS from resected patient material. We produce a fully automated algorithm that aligns, segments, and reconstructs 3D architectures from microscopy images of 2D serial sections from human specimens. The alignment algorithm is based on normalized cross correlation, the segmentation algorithm uses histogram equilization, Otsu's thresholding, and morphology techniques to segment the duct and cribra. The reconstruction method combines these images in 3D. We show that two distinct 3D architectures are indeed found in samples whose 2D histological sections are similarly identified as cribriform DCIS. These differences in architecture support the hypothesis that luminal spaces may form due to different mechanisms, either isolated cell death or merging fronds, leading to the different architectures. We find that out of 15 samples, 6 were found to have ‘bubble-like’ cribra, 6 were found to have ‘tube-like’ criba and 3 were ‘unknown.’ We propose that the 3D architectures found, ‘bubbles’ and ‘tubes’, account for some of the heterogeneity of the disease and may be prognostic indicators of different patient outcomes. Public Library of Science 2012-09-06 /pmc/articles/PMC3435324/ /pubmed/22970156 http://dx.doi.org/10.1371/journal.pone.0044011 Text en © 2012 Norton et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Norton, Kerri-Ann Namazi, Sameera Barnard, Nicola Fujibayashi, Mariko Bhanot, Gyan Ganesan, Shridar Iyatomi, Hitoshi Ogawa, Koichi Shinbrot, Troy Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ |
title | Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
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title_full | Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
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title_fullStr | Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
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title_full_unstemmed | Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
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title_short | Automated Reconstruction Algorithm for Identification of 3D Architectures of Cribriform Ductal Carcinoma In Situ
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title_sort | automated reconstruction algorithm for identification of 3d architectures of cribriform ductal carcinoma in situ |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435324/ https://www.ncbi.nlm.nih.gov/pubmed/22970156 http://dx.doi.org/10.1371/journal.pone.0044011 |
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