Light-CT, a special-designed pathology-approximation system which is based on the lighting feature or dynamic feature of tissue and cells, is used to detect malignant cells or tissue in fresh specimens. Morphological structure and pathological changes could be captured in minutes, which implies a possible application in intraoperative diagnosis. In this study, fresh breast tissue, fat, benign breast lesions, breast cancer and axillary lymph node specimens are collected to assess the usefulness of Light-CT. During the in vitro examination, both FF-OCT and DCI images are obtained and stored. Imaging analysis would be performed in traditional imaging analysis like manner and an artificial intelligence aided approach as well.
In this study, breast and lymph node specimens would be collected and imaged both through light imaging and conventional pathological analysis.
