Near-infrared (NIR) fluorescence imaging with indocyanine green (ICG) can be used for real-time assessment of the operative field and anatomy using the da Vinci platform. However, its use is limited because it loses the fluorescence after protein binding. The development of a targeted fluorescent contrast agent, that could be actively accumulated in tumor tissue by recognition of a specific biomarker expressed by tumor cells is strongly needed This subproject aims to identify new surface markers as targets of gastric cancer and test antibodies against such targets in order to develop a useful tool for lymphatic and metastatic mapping and to discriminate the margins between tumor and healthy surrounding mucosa during robotic gastrectomy.
Tuscany Health Ecosystem
SPOKE 9: Robotics and Automation for Health