4.6 Article

Sentinel lymph node mapping of invasive urinary bladder cancer in animal models using invisible light

Journal

EUROPEAN UROLOGY
Volume 52, Issue 6, Pages 1700-1709

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.eururo.2007.07.007

Keywords

bladder cancer; fluorescence; intraoperative imaging; sentinel lymph node; mapping

Funding

  1. NCI NIH HHS [R01 CA115296, R01-CA-115296, R21-CA-110185, R21 CA110185-01, R21 CA110185, R01 CA115296-01A1, R01 CA115296-02] Funding Source: Medline

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Objectives: With conventional methodology, sentinel lymph node (SLN) mapping of invasive urinary bladder cancer is technically challenging. This study was performed to determine the utility of invisible, near-infrared fluorescent (NIRF) light for patient-specific SLN mapping, in real time under complete image guidance. Methods: Lymphatic tracers, injection volume, NIRF excitation fluence rate, light collection of emitted fluorescence, and degree of bladder distension were systematically optimized in normal dogs and pigs. SLN mapping was then performed in pet dogs with naturally occurring invasive transitional cell carcinoma (InvTCC) of the urinary bladder, which closely mimics the human disease. Results: NIRF albumin (hydrodynamic diameter [HD], 7.4 nm) and NIRF quantum dots (15-20 nm HID) injected into the bladder wall resulted in identification of draining lymph nodes (LNs) in under 3 min. In both species, considerable variability in the lymphatic drainage was observed among individuals. Optimal SLN mapping was achieved with the use of superficial, serosal injection of NIRF tracer, with the bladder distended to an intraluminal pressure of 20-40 cm H2O. In dogs with InvTCC, NIRF tracers identified SLNs that were confirmed histologically to harbor metastases. Conclusions: The use of invisible NIRF light permits real-time, patient-specific identification of SLNs that drain bladder cancer. intraluminal bladder pressure is a key parameter that needs to be controlled for optimal results. (c) 2007 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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