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

Abstract 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 c...

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Main Authors: Lorenzo Massimi, Tamara Suaris, Charlotte K. Hagen, Marco Endrizzi, Peter R. T. Munro, Glafkos Havariyoun, P. M. Sam Hawker, Bennie Smit, Alberto Astolfo, Oliver J. Larkin, Richard M. Waltham, Zoheb Shah, Stephen W. Duffy, Rachel L. Nelan, Anthony Peel, J. Louise Jones, Ian G. Haig, David Bate, Alessandro Olivo
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83330-w
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spelling doaj-747a630515f14ffe9ee31490fe6ea21c2021-02-14T12:35:59ZengNature Publishing GroupScientific Reports2045-23222021-02-011111910.1038/s41598-021-83330-wDetection of involved margins in breast specimens with X-ray phase-contrast computed tomographyLorenzo Massimi0Tamara Suaris1Charlotte K. Hagen2Marco Endrizzi3Peter R. T. Munro4Glafkos Havariyoun5P. M. Sam Hawker6Bennie Smit7Alberto Astolfo8Oliver J. Larkin9Richard M. Waltham10Zoheb Shah11Stephen W. Duffy12Rachel L. Nelan13Anthony Peel14J. Louise Jones15Ian G. Haig16David Bate17Alessandro Olivo18Department of Medical Physics and Biomedical Engineering, University College LondonSt Bartholomew’s Hospital, Barts Health NHS TrustDepartment of Medical Physics and Biomedical Engineering, University College LondonDepartment of Medical Physics and Biomedical Engineering, University College LondonDepartment of Medical Physics and Biomedical Engineering, University College LondonDepartment of Medical Physics and Biomedical Engineering, University College LondonNikon X-Tek Systems, Tring Business CentreNikon X-Tek Systems, Tring Business CentreNikon X-Tek Systems, Tring Business CentreNikon X-Tek Systems, Tring Business CentreNikon X-Tek Systems, Tring Business CentreBarts and the London School of Medicine and Dentistry, Queen Mary University of LondonBarts and the London School of Medicine and Dentistry, Queen Mary University of LondonBarts and the London School of Medicine and Dentistry, Queen Mary University of LondonSt Bartholomew’s Hospital, Barts Health NHS TrustSt Bartholomew’s Hospital, Barts Health NHS TrustNikon X-Tek Systems, Tring Business CentreNikon X-Tek Systems, Tring Business CentreDepartment of Medical Physics and Biomedical Engineering, University College LondonAbstract 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.https://doi.org/10.1038/s41598-021-83330-w
collection DOAJ
language English
format Article
sources DOAJ
author Lorenzo Massimi
Tamara Suaris
Charlotte K. Hagen
Marco Endrizzi
Peter R. T. Munro
Glafkos Havariyoun
P. M. Sam Hawker
Bennie Smit
Alberto Astolfo
Oliver J. Larkin
Richard M. Waltham
Zoheb Shah
Stephen W. Duffy
Rachel L. Nelan
Anthony Peel
J. Louise Jones
Ian G. Haig
David Bate
Alessandro Olivo
spellingShingle Lorenzo Massimi
Tamara Suaris
Charlotte K. Hagen
Marco Endrizzi
Peter R. T. Munro
Glafkos Havariyoun
P. M. Sam Hawker
Bennie Smit
Alberto Astolfo
Oliver J. Larkin
Richard M. Waltham
Zoheb Shah
Stephen W. Duffy
Rachel L. Nelan
Anthony Peel
J. Louise Jones
Ian G. Haig
David Bate
Alessandro Olivo
Detection of involved margins in breast specimens with X-ray phase-contrast computed tomography
Scientific Reports
author_facet Lorenzo Massimi
Tamara Suaris
Charlotte K. Hagen
Marco Endrizzi
Peter R. T. Munro
Glafkos Havariyoun
P. M. Sam Hawker
Bennie Smit
Alberto Astolfo
Oliver J. Larkin
Richard M. Waltham
Zoheb Shah
Stephen W. Duffy
Rachel L. Nelan
Anthony Peel
J. Louise Jones
Ian G. Haig
David Bate
Alessandro Olivo
author_sort Lorenzo Massimi
title 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_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_sort detection of involved margins in breast specimens with x-ray phase-contrast computed tomography
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-02-01
description Abstract 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.
url https://doi.org/10.1038/s41598-021-83330-w
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