Intraoperative Tissue Identification by Analyzing Surgical Smoke

The increasing number of breast cancer survivors and their longevity has emphasized the importance of aesthetic and functional outcomes of cancer surgery and increased pressure for the surgical treatment to achieve negative margins with minimal removal of healthy tissue. Surgical smoke has been successfully utilized in tissue identification in laboratory conditions by using a system based on differential mobility spectrometry (DMS) that could provide a seamless margin assessment method. In this study, a DMS-based tissue smoke analysis system will be used intraoperatively in 20 breast cancer surgeries to assess its feasibility in tissue identification. The effect of the system on complications and duration of surgeries is also studied. The surgeries are recorded with a head-worn camera system for visual annotation of the operated tissue types to enable classification of the measurement files by supervised learning.