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Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography

Margins of wide local excisions in breast conserving surgery are tested through histology, which can delay results by days and lead to second operations. Detection of margin involvement intraoperatively would allow the removal of additional tissue during the same intervention. X-ray phase contrast i...

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Autores principales: Massimi, Lorenzo, Suaris, Tamara, Hagen, Charlotte K., Endrizzi, Marco, Munro, Peter R. T., Havariyoun, Glafkos, Hawker, P. M. Sam, Smit, Bennie, Astolfo, Alberto, Larkin, Oliver J., Waltham, Richard M., Shah, Zoheb, Duffy, Stephen W., Nelan, Rachel L., Peel, Anthony, Jones, J. Louise, Haig, Ian G., Bate, David, Olivo, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878478/
https://www.ncbi.nlm.nih.gov/pubmed/33574584
http://dx.doi.org/10.1038/s41598-021-83330-w
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author Massimi, Lorenzo
Suaris, Tamara
Hagen, Charlotte K.
Endrizzi, Marco
Munro, Peter R. T.
Havariyoun, Glafkos
Hawker, P. M. Sam
Smit, Bennie
Astolfo, Alberto
Larkin, Oliver J.
Waltham, Richard M.
Shah, Zoheb
Duffy, Stephen W.
Nelan, Rachel L.
Peel, Anthony
Jones, J. Louise
Haig, Ian G.
Bate, David
Olivo, Alessandro
author_facet Massimi, Lorenzo
Suaris, Tamara
Hagen, Charlotte K.
Endrizzi, Marco
Munro, Peter R. T.
Havariyoun, Glafkos
Hawker, P. M. Sam
Smit, Bennie
Astolfo, Alberto
Larkin, Oliver J.
Waltham, Richard M.
Shah, Zoheb
Duffy, Stephen W.
Nelan, Rachel L.
Peel, Anthony
Jones, J. Louise
Haig, Ian G.
Bate, David
Olivo, Alessandro
author_sort Massimi, Lorenzo
collection PubMed
description Margins of wide local excisions in breast conserving surgery are tested through histology, which can delay results by days and lead to second operations. Detection of margin involvement intraoperatively would allow the removal of additional tissue during the same intervention. X-ray phase contrast imaging (XPCI) provides soft tissue sensitivity superior to conventional X-rays: we propose its use to detect margin involvement intraoperatively. We have developed a system that can perform phase-based computed tomography (CT) scans in minutes, used it to image 101 specimens approximately half of which contained neoplastic lesions, and compared results against those of a commercial system. Histological analysis was carried out on all specimens and used as the gold standard. XPCI-CT showed higher sensitivity (83%, 95% CI 69–92%) than conventional specimen imaging (32%, 95% CI 20–49%) for detection of lesions at margin, and comparable specificity (83%, 95% CI 70–92% vs 86%, 95% CI 73–93%). Within the limits of this study, in particular that specimens obtained from surplus tissue typically contain small lesions which makes detection more difficult for both methods, we believe it likely that the observed increase in sensitivity will lead to a comparable reduction in the number of re-operations.
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spelling pubmed-78784782021-02-12 Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography Massimi, Lorenzo Suaris, Tamara Hagen, Charlotte K. Endrizzi, Marco Munro, Peter R. T. Havariyoun, Glafkos Hawker, P. M. Sam Smit, Bennie Astolfo, Alberto Larkin, Oliver J. Waltham, Richard M. Shah, Zoheb Duffy, Stephen W. Nelan, Rachel L. Peel, Anthony Jones, J. Louise Haig, Ian G. Bate, David Olivo, Alessandro Sci Rep Article Margins of wide local excisions in breast conserving surgery are tested through histology, which can delay results by days and lead to second operations. Detection of margin involvement intraoperatively would allow the removal of additional tissue during the same intervention. X-ray phase contrast imaging (XPCI) provides soft tissue sensitivity superior to conventional X-rays: we propose its use to detect margin involvement intraoperatively. We have developed a system that can perform phase-based computed tomography (CT) scans in minutes, used it to image 101 specimens approximately half of which contained neoplastic lesions, and compared results against those of a commercial system. Histological analysis was carried out on all specimens and used as the gold standard. XPCI-CT showed higher sensitivity (83%, 95% CI 69–92%) than conventional specimen imaging (32%, 95% CI 20–49%) for detection of lesions at margin, and comparable specificity (83%, 95% CI 70–92% vs 86%, 95% CI 73–93%). Within the limits of this study, in particular that specimens obtained from surplus tissue typically contain small lesions which makes detection more difficult for both methods, we believe it likely that the observed increase in sensitivity will lead to a comparable reduction in the number of re-operations. Nature Publishing Group UK 2021-02-11 /pmc/articles/PMC7878478/ /pubmed/33574584 http://dx.doi.org/10.1038/s41598-021-83330-w Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Massimi, Lorenzo
Suaris, Tamara
Hagen, Charlotte K.
Endrizzi, Marco
Munro, Peter R. T.
Havariyoun, Glafkos
Hawker, P. M. Sam
Smit, Bennie
Astolfo, Alberto
Larkin, Oliver J.
Waltham, Richard M.
Shah, Zoheb
Duffy, Stephen W.
Nelan, Rachel L.
Peel, Anthony
Jones, J. Louise
Haig, Ian G.
Bate, David
Olivo, Alessandro
Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title_full Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title_fullStr Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title_full_unstemmed Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title_short Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
title_sort detection of involved margins in breast specimens with x-ray phase-contrast computed tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878478/
https://www.ncbi.nlm.nih.gov/pubmed/33574584
http://dx.doi.org/10.1038/s41598-021-83330-w
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