Preclinical Evaluation of Robotic-Assisted Sentinel Lymph Node Fluorescence Imaging

Journal of Nuclear Medicine

Christopher J. Kane¹  David J. Hall¹  Sean A. Hickey¹  Zhengtao Qin¹  Salman Farshchi-Heydari¹  David R. Vera¹  Michael A. Liss¹ 

关键词: fluorescent tilmanocept;    sentinel lymph node mapping;    robotic-assisted surgery;   

DOI  :  10.2967/jnumed.114.140871

学科分类：医学（综合）

来源: Society of Nuclear Medicine

【 摘 要 】

An ideal substance to provide convenient and accurate targeting for sentinel lymph node (SLN) mapping during robotic-assisted surgery has yet to be found. We used an animal model to determine the ability of the FireFly camera system to detect fluorescent SLNs after administration of a dual-labeled molecular imaging agent. Methods: We injected the footpads of New Zealand White rabbits with 1.7 or 8.4 nmol of tilmanocept labeled with 99mTc and a near-infrared fluorophore, IRDye800CW. One and 36 h after injection, popliteal lymph nodes, representing the SLNs, were dissected with the assistance of the FireFly camera system, a fluorescence-capable endoscopic imaging system. After excision of the paraaortic lymph nodes, which represented non-SLNs, we assayed all lymph nodes for radioactivity and fluorescence intensity. Results: Fluorescence within all popliteal lymph nodes was easily detected by the FireFly camera system. Fluorescence within the lymph channel could be imaged during the 1-h studies. When compared with the paraaortic lymph nodes, the popliteal lymph nodes retain greater than 95% of the radioactivity at both 1 and 36 h after injection. At both doses (1.7 and 8.4 nmol), the popliteal nodes had higher (P < 0.050) optical fluorescence intensity than the paraaortic nodes at the 1- and 36-h time points. Conclusion: The FireFly camera system can easily detect tilmanocept labeled with a near-infrared fluorophore at least 36 h after administration. This ability will permit image acquisition and subsequent verification of fluorescence-labeled SLNs during robotic-assisted surgery.

【 授权许可】

Unknown