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Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery
Breast-conserving surgery (BCS) is commonly used for the treatment of early-stage breast cancer. Following BCS, approximately 20% to 30% of patients require reexcision because postoperative histopathology identifies cancer in the surgical margins of the excised specimen. Quantitative micro-elastogra...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627129/ https://www.ncbi.nlm.nih.gov/pubmed/36098983 http://dx.doi.org/10.1158/0008-5472.CAN-22-0578 |
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author | Gong, Peijun Chin, Synn Lynn Allen, Wes M. Ballal, Helen Anstie, James D. Chin, Lixin Ismail, Hina M. Zilkens, Renate Lakhiani, Devina D. McCarthy, Matthew Fang, Qi Firth, Daniel Newman, Kyle Thomas, Caleb Li, Jiayue Sanderson, Rowan W. Foo, Ken Y. Yeomans, Chris Dessauvagie, Benjamin F. Latham, Bruce Saunders, Christobel M. Kennedy, Brendan F. |
author_facet | Gong, Peijun Chin, Synn Lynn Allen, Wes M. Ballal, Helen Anstie, James D. Chin, Lixin Ismail, Hina M. Zilkens, Renate Lakhiani, Devina D. McCarthy, Matthew Fang, Qi Firth, Daniel Newman, Kyle Thomas, Caleb Li, Jiayue Sanderson, Rowan W. Foo, Ken Y. Yeomans, Chris Dessauvagie, Benjamin F. Latham, Bruce Saunders, Christobel M. Kennedy, Brendan F. |
author_sort | Gong, Peijun |
collection | PubMed |
description | Breast-conserving surgery (BCS) is commonly used for the treatment of early-stage breast cancer. Following BCS, approximately 20% to 30% of patients require reexcision because postoperative histopathology identifies cancer in the surgical margins of the excised specimen. Quantitative micro-elastography (QME) is an imaging technique that maps microscale tissue stiffness and has demonstrated a high diagnostic accuracy (96%) in detecting cancer in specimens excised during surgery. However, current QME methods, in common with most proposed intraoperative solutions, cannot image cancer directly in the patient, making their translation to clinical use challenging. In this proof-of-concept study, we aimed to determine whether a handheld QME probe, designed to interrogate the surgical cavity, can detect residual cancer directly in the breast cavity in vivo during BCS. In a first-in-human study, 21 BCS patients were scanned in vivo with the QME probe by five surgeons. For validation, protocols were developed to coregister in vivo QME with postoperative histopathology of the resected tissue to assess the capability of QME to identify residual cancer. In four cavity aspects presenting cancer and 21 cavity aspects presenting benign tissue, QME detected elevated stiffness in all four cancer cases, in contrast to low stiffness observed in 19 of the 21 benign cases. The results indicate that in vivo QME can identify residual cancer by directly imaging the surgical cavity, potentially providing a reliable intraoperative solution that can enable more complete cancer excision during BCS. SIGNIFICANCE: Optical imaging of microscale tissue stiffness enables the detection of residual breast cancer directly in the surgical cavity during breast-conserving surgery, which could potentially contribute to more complete cancer excision. |
format | Online Article Text |
id | pubmed-9627129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-96271292023-01-05 Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery Gong, Peijun Chin, Synn Lynn Allen, Wes M. Ballal, Helen Anstie, James D. Chin, Lixin Ismail, Hina M. Zilkens, Renate Lakhiani, Devina D. McCarthy, Matthew Fang, Qi Firth, Daniel Newman, Kyle Thomas, Caleb Li, Jiayue Sanderson, Rowan W. Foo, Ken Y. Yeomans, Chris Dessauvagie, Benjamin F. Latham, Bruce Saunders, Christobel M. Kennedy, Brendan F. Cancer Res Convergence and Technologies Breast-conserving surgery (BCS) is commonly used for the treatment of early-stage breast cancer. Following BCS, approximately 20% to 30% of patients require reexcision because postoperative histopathology identifies cancer in the surgical margins of the excised specimen. Quantitative micro-elastography (QME) is an imaging technique that maps microscale tissue stiffness and has demonstrated a high diagnostic accuracy (96%) in detecting cancer in specimens excised during surgery. However, current QME methods, in common with most proposed intraoperative solutions, cannot image cancer directly in the patient, making their translation to clinical use challenging. In this proof-of-concept study, we aimed to determine whether a handheld QME probe, designed to interrogate the surgical cavity, can detect residual cancer directly in the breast cavity in vivo during BCS. In a first-in-human study, 21 BCS patients were scanned in vivo with the QME probe by five surgeons. For validation, protocols were developed to coregister in vivo QME with postoperative histopathology of the resected tissue to assess the capability of QME to identify residual cancer. In four cavity aspects presenting cancer and 21 cavity aspects presenting benign tissue, QME detected elevated stiffness in all four cancer cases, in contrast to low stiffness observed in 19 of the 21 benign cases. The results indicate that in vivo QME can identify residual cancer by directly imaging the surgical cavity, potentially providing a reliable intraoperative solution that can enable more complete cancer excision during BCS. SIGNIFICANCE: Optical imaging of microscale tissue stiffness enables the detection of residual breast cancer directly in the surgical cavity during breast-conserving surgery, which could potentially contribute to more complete cancer excision. American Association for Cancer Research 2022-11-02 2022-09-13 /pmc/articles/PMC9627129/ /pubmed/36098983 http://dx.doi.org/10.1158/0008-5472.CAN-22-0578 Text en ©2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Convergence and Technologies Gong, Peijun Chin, Synn Lynn Allen, Wes M. Ballal, Helen Anstie, James D. Chin, Lixin Ismail, Hina M. Zilkens, Renate Lakhiani, Devina D. McCarthy, Matthew Fang, Qi Firth, Daniel Newman, Kyle Thomas, Caleb Li, Jiayue Sanderson, Rowan W. Foo, Ken Y. Yeomans, Chris Dessauvagie, Benjamin F. Latham, Bruce Saunders, Christobel M. Kennedy, Brendan F. Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title | Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title_full | Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title_fullStr | Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title_full_unstemmed | Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title_short | Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery |
title_sort | quantitative micro-elastography enables in vivo detection of residual cancer in the surgical cavity during breast-conserving surgery |
topic | Convergence and Technologies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627129/ https://www.ncbi.nlm.nih.gov/pubmed/36098983 http://dx.doi.org/10.1158/0008-5472.CAN-22-0578 |
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