Fluorescence-Based Molecular Imaging of Porcine Urinary Bladder Sentinel Lymph Nodes
Hak J. Lee, Christopher V. Barback, Carl K. Hoh, Zhengtao Qin, Kareem Kader, David J. Hall, David R. Vera, Christopher J. Kane
- 发表年份
- 2017
- 引用次数
- 26
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- 开放获取
摘要
The primary objective was to test the ability of a laparoscopic camera system to detect the fluorescent signal emanating from sentinel lymph nodes (SLNs) approximately 2 d after injection and imaging of a positron-emitting molecular imaging agent into the submucosa of the porcine urinary bladder. <b>Methods:</b> Three female pigs underwent a submucosal injection of the bladder with fluorescent-tagged tilmanocept, radiolabeled with both <sup>68</sup>Ga and <sup>99m</sup>Tc. One hour after injection, a pelvic PET/CT scan was acquired for preoperative SLN mapping. Approximately 36 h later, robotic SLN mapping was performed using a fluorescence-capable camera system. After identification of the fluorescent lymph nodes, a pelvic lymph node dissection was completed with robotic assistance. All excised nodal packets (<i>n</i> = 36) were assayed for <sup>99m</sup>Tc activity, which established a lymph node as an SLN. <sup>99m</sup>Tc activity was also used to calculate the amount of dye within each lymph node. <b>Results:</b> All of the SLNs defined by the ex vivo γ-well assay of <sup>99m</sup>Tc activity were detected by fluorescence mode imaging. The time between injection and robotic SLN mapping ranged from 32 to 38 h. A total of 5 fluorescent lymph nodes were detected; 2 pigs had 2 fluorescent lymph nodes and 1 pig exhibited a single lymph node. Four of the 5 SLNs exhibited increased SUVs of 12.4–139.0 obtained from PET/CT. The dye content of the injection sites ranged from 371 to 1,441 pmol, which represented 16.5%–64.1% of the injected dose; the amount of dye within the SLNs ranged from 8.5 to 88 pmol, which was equivalent to 0.38%–3.91% of the administered dose. <b>Conclusion:</b> Fluorescent-labeled <sup>68</sup>Ga-tilmanocept allows for PET imaging and real-time intraoperative detection of SLNs during robotic surgery.
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