Investigation of optical coherence microelastography as a method to visualize cancers in human breast tissue

Brendan Kennedy, Robert Mclaughlin, Kelsey Kennedy, Lixin Chin, Philip Wijesinghe, Andrea Curatolo, Alan Tien, M. Ronald, B. Latham, Christobel Saunders, David Sampson

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

An accurate intraoperative identification of malignant tissue is a challenge in the surgical management of breast cancer. Imaging techniques that help address this challenge could contribute to more complete and accurate tumor excision, and thereby help reduce the current high reexcision rates without resorting to the removal of excess healthy tissue. Optical coherence microelastography (OCME) is a three-dimensional, high-resolution imaging technique that is sensitive to microscale variations of the mechanical properties of tissue. As the tumor modifies the mechanical properties of breast tissue, OCME has the potential to identify, on the microscale, involved regions of fresh, unstained tissue. OCME is based on the use of optical coherence tomography (OCT) to measure tissue deformation in response to applied mechanical compression. In this feasibility study on 58 ex vivo samples from patients undergoing mastectomy or wide local excision, we demonstrate the performance of OCME as a means to visualize tissue microarchitecture in benign and malignant human breast tissues. Through a comparison with corresponding histology and OCT images, OCME is shown to enable ready visualization of features such as ducts, lobules, microcysts, blood vessels, and arterioles and to identify invasive tumor through distinctive patterns in OCME images, often with enhanced contrast compared with OCT. These results lay the foundation for future intraoperative studies. Cancer Res; 75(16); 3236-45.
Original languageEnglish
Pages (from-to)3236-3245
JournalCancer Research
Volume75
Issue number16
Early online date29 Jun 2015
DOIs
Publication statusPublished - 15 Aug 2015

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Breast
Neoplasms
Optical Coherence Tomography
Mastectomy
Feasibility Studies
Arterioles
Blood Vessels
Histology
Breast Neoplasms

Cite this

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title = "Investigation of optical coherence microelastography as a method to visualize cancers in human breast tissue",
abstract = "An accurate intraoperative identification of malignant tissue is a challenge in the surgical management of breast cancer. Imaging techniques that help address this challenge could contribute to more complete and accurate tumor excision, and thereby help reduce the current high reexcision rates without resorting to the removal of excess healthy tissue. Optical coherence microelastography (OCME) is a three-dimensional, high-resolution imaging technique that is sensitive to microscale variations of the mechanical properties of tissue. As the tumor modifies the mechanical properties of breast tissue, OCME has the potential to identify, on the microscale, involved regions of fresh, unstained tissue. OCME is based on the use of optical coherence tomography (OCT) to measure tissue deformation in response to applied mechanical compression. In this feasibility study on 58 ex vivo samples from patients undergoing mastectomy or wide local excision, we demonstrate the performance of OCME as a means to visualize tissue microarchitecture in benign and malignant human breast tissues. Through a comparison with corresponding histology and OCT images, OCME is shown to enable ready visualization of features such as ducts, lobules, microcysts, blood vessels, and arterioles and to identify invasive tumor through distinctive patterns in OCME images, often with enhanced contrast compared with OCT. These results lay the foundation for future intraoperative studies. Cancer Res; 75(16); 3236-45.",
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Investigation of optical coherence microelastography as a method to visualize cancers in human breast tissue. / Kennedy, Brendan; Mclaughlin, Robert; Kennedy, Kelsey; Chin, Lixin; Wijesinghe, Philip; Curatolo, Andrea; Tien, Alan; Ronald, M.; Latham, B.; Saunders, Christobel; Sampson, David.

In: Cancer Research, Vol. 75, No. 16, 15.08.2015, p. 3236-3245.

Research output: Contribution to journalArticle

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AU - Curatolo, Andrea

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