Intra-operative Detection of Positive Margins in Breast Surgery
In this project, we will develop a unique OCT-Raman system based on a selective sampling approach optimised for high-resolution analysis of whole lumpectomy specimens. The aim of using OCT is not to detect the cancer but to identify the adipose tissue, such that the large adipose tissue regions are excluded from any fu
| Condition(s) | Breast Cancer Invasive |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | In this project, we will develop a unique OCT-Raman system based on a selective sampling approach optimised for high-resolution analysis of whole lumpectomy specimens. The aim of using OCT is not to detect the cancer but to identify the adipose tissue, such that the large adipose tissue regions are excluded from any further measurements by Raman spectroscopy. While OCT has a limited ability to distinguish between tumour and surrounding normal stroma, adipose tissue has a distinctive appearance in the OCT images due to low backscattering within adipose cells (filled with lipids and small/flattened nuclei) compared to the highly scattering benign dense tissue (stroma, ducts and lobules) and malignant tissue. Such specific patterns allow identification of normal adipose tissue from breast tis |
| Who can participate | Inclusion criteria * Patients undergoing breast surgery (wide local excision). * Able to give informed consent. * Any age. Exclusion criteria • Patients where there is any doubt regarding the diagnosis from pathologist as ascertained by previous diagnostic biopsy. |
| Sex | Female |
| Lead sponsor | University of Nottingham |
| Locations | Nottingham, United Kingdom |
| Start date | 2023-10-01 |
| NCT ID | NCT06977698 |
| Official listing | https://clinicaltrials.gov/study/NCT06977698 |