02204-T: Using Enhanced Imaging to Evaluate Tumor Margins for Canine Mammary Cancer and Soft Tissue Sarcoma

Grant Status: Closed

Grant Amount: $46,358
Laura E. Selmic, BVetMed, MPH; Ohio State University
January 1, 2016 - December 31, 2018

Sponsor(s): Saluki Health Research, Inc., Siberian Husky Club of America, Inc.

Breed(s): -All Dogs
Research Program Area: Oncology
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Surgery is the primary treatment for many common tumors affecting dogs including mammary tumors and soft tissue sarcomas (STS). For these tumors, the best chance of cure is offered if the surgeon can fully remove both visible and microscopic traces of the tumor. Unfortunately, to do this, surgeons must rely on indirect and crude methods to assess the extent of the tumor during surgery. The success of the procedure will not be known until several days later, following sample assessment by the pathologist. After surgery, decisions regarding the necessity of further treatment and the patient’s prognosis are often determined from the pathology results. For malignant tumors, if the disease is minimally or incompletely removed, further surgery or radiation therapy is often required. Additional treatments such as these can result in further risk and discomfort for the patient as well as present emotional and financial costs for owners. Optical coherence tomography (OCT) is an emerging diagnostic imaging tool that uses light waves to generate real-time, high-resolution images of tissue at a microscopic level. These images can be used to evaluate for residual disease at the time of surgery giving immediate feedback to the surgeon. This study will focus on validating this technology for the imaging of surgical margins of two important canine cancers - mammary tumors and STS. If successful, this technology can be used to assess for residual cancer during surgery to benefit patients by guiding accurate treatment recommendations and attempting to reduce the need for additional treatments or surgery, and thus advancing the standard of care for canine patients.


Ye, Y., Sun, W. W., Xu, R. X., Selmic, L. E., & Sun, M. (2021). Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography. Veterinary and Comparative Oncology. https://doi.org/10.1111/vco.12747

Lages, M., & Selmic, L. E. (2021). Exploring optical coherence tomography imaging depth to differentiate tissues at surgical margins. Veterinary and Comparative Oncology. https://doi.org/10.1111/vco.12745

Dornbusch, J. A., Selmic, L. E., Huang, P.-C., Samuelson, J. P., McLaughlin, E. M., Wavreille, V. A., Ogden, J. A., Abrams, B., Kalamaras, A., Green, E., Hostnik, E. T., Every, L., Fuerst, J. A., Jennings, R., Premanandan, C., Lorbach, J. N., Linn, S. C., Alex, A., Sorrells, J. E., … Boppart, S. A. (2020). Diagnostic accuracy of optical coherence tomography for assessing surgical margins of canine soft tissue sarcomas in observers of different specialties. Veterinary Surgery. https://doi.org/10.1111/vsu.13510

Fabelo, C., Selmic, L. E., Huang, P.-C., Samuelson, J. P., Reagan, J. K., Kalamaras, A., Wavreille, V., Monroy, G. L., Marjanovic, M., & Boppart, S. A. (2020). Evaluating optical coherence tomography for surgical margin assessment of canine mammary tumors. Veterinary and Comparative Oncology. https://doi.org/10.1111/vco.12632

Mesa, K. J., Selmic, L. E., Pande, P., Monroy, G. L., Reagan, J., Samuelson, J., … Boppart, S. A. (2017). Intraoperative optical coherence tomography for soft tissue sarcoma differentiation and margin identification. Lasers in Surgery and Medicine, 49(3), 240–248. https://doi.org/10.1002/lsm.22633

Selmic, L. E., Samuelson, J., Reagan, J. K., Mesa, K. J., Driskell, E., Li, J., … Boppart, S. A. (2018). Intraoperative imaging of surgical margins of canine soft tissue sarcoma using optical coherence tomography. Veterinary and Comparative Oncology. https://doi.org/10.1111/vco.12448

Holt, D., Singhal, S., & Selmic, L. E. (2019). Near‐infrared imaging and optical coherence tomography for intraoperative visualization of tumors. Veterinary Surgery, 1–11. https://doi.org/10.1111/vsu.13332

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