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Intra‐operative imaging of surgical margins of canine soft tissue sarcoma using optical coherence tomography
Author(s) -
Selmic Laura E.,
Samuelson Jonathan,
Reagan Jennifer K.,
Mesa Kelly J.,
Driskell Elizabeth,
Li Joanne,
Marjanovic Marina,
Boppart Stephen A.
Publication year - 2019
Publication title -
veterinary and comparative oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 34
eISSN - 1476-5829
pISSN - 1476-5810
DOI - 10.1111/vco.12448
Subject(s) - optical coherence tomography , soft tissue , sarcoma , tomography , medicine , soft tissue sarcoma , radiology , computed tomography , coherence (philosophical gambling strategy) , pathology , physics , quantum mechanics
Optical coherence tomography (OCT) is a rapid non‐invasive imaging technique that has shown high sensitivity for intra‐operative surgical margin assessment in human breast cancer clinical trials. This promising technology has not been evaluated in veterinary medicine. The objective of this study was to correlate normal and abnormal histological features with OCT images for surgical margins from excised canine soft tissue sarcoma (STS) and to establish image evaluation criteria for identifying positive surgical margins. Fourteen client‐owned dogs underwent surgical resection of a STS and OCT imaging of 2 to 4 areas of interest on the resected specimen were performed. Following imaging these areas were marked with surgical ink and trimmed for histopathology evaluation. Results showed that different tissue types had distinct characteristic appearances on OCT imaging. Adipose tissue exhibited a relatively low scattering and a honey‐comb texture pattern. Skeletal muscle and sarcoma tissue were both dense and highly scattering. While sarcoma tissue was highly scattering, it did not have organized recognizable structure in contrast to muscle which showed clear fibre alignment patterns. In this investigation, we showed different tissue types had different and characteristic scattering and image texture appearances on OCT, which closely correlate with low‐power histology images. Given the differentiation between tissue types the results support that OCT could be used to identify positive surgical margins immediately following resection of STS. Further research is needed to assess the diagnostic accuracy of this method for surgical margin assessment.