None listed
Conditions
Brief summary
This study looks at whether a new imaging technique, referred to as optical coherence tomography (OCT), is as accurate as histology (examining cells under a microscope) in identifying cancerous tissue in people with breast cancer. Who is it for? You can join this study if you are a woman or man with breast cancer and are about to undergo surgery. Trial details In this preliminary study, OCT images of tissue samples removed during surgery will be compared to standard histology, to see whether OCT can reliably distinguish cancerous and healthy tissue. OCT is an imaging technique which acquires high resolution images of tissue. It is similar to ultrasound, but uses reflections of near infrared light waves instead of sound waves. OCT could potentially be used on tissue before it is cut out of the patient, which would avoid the unnecessary removal of healthy tissue during breast cancer surgery. Results from this trial will form the basis for future trials which will be performed on human tissue prior to removal of the tissue from the patient.
Interventions
Optical coherence tomography (OCT) is an imaging technique which acquires high resolution images of tissue. It is analogous to ultrasound, but uses reflections of near infrared light waves instead of sound waves. Different tissue types reflect different amounts of light. In this study, we scan ex vivo tissue samples, and compare the OCT images against histology to assess whether cancerous tissue can be distinguished from healthy tissue. Scans are performed on fresh (unfixed) ex vivo human breast tissue samples immediately after excision from the patient. No additional tissue is excised for this study – scans are performed on tissue that is excised as part of normal surgery. Image acquisition takes approximately 2-10 minutes. Tissue then undergoes histological assessment and the results are correlated against the OCT image.
Sponsors
Study design
Eligibility
Inclusion criteria
Breast cancer patient undergoing surgery.
Exclusion criteria
Nil