Novel use of indocyanine green for intraoperative, real-time localization of ureteral stenosis during robot-assisted ureteroureterostomy.

Publication/Presentation Date

9-1-2013

Abstract

OBJECTIVE: To present a novel method to intraoperatively localize ureteral strictures during robot-assisted ureteroureterostomy via indocyanine green (ICG) visualization under near-infrared (NIR) light.

MATERIALS AND METHODS: Seven patients underwent robot-assisted ureteroureterostomy for ureteral stricture by a single surgeon (D.D.E.). Intraoperative localization of ureteral stricture involved instilling ICG (25 mg in 10 mL distilled water) above and below the level of stenosis through a ureteral catheter or a percutaneous nephrostomy tube, or both. The fluorescent tracer was detected as a green color using the NIR modality on the da Vinci Si (Intuitive Surgical, Sunnyvale, CA). All patients consented to off-label use of ICG after full disclosure.

RESULTS: Intraoperative ICG injection and visualization under NIR light assisted in the performance of a tension-free anastomosis in all patients. At the time of surgery, mean age was 55.7 ± 12.4 years and mean body mass index was 30.3 ± 5.8 kg/m(2). Mean operative time was 171.3 ± 52.4 minutes, mean estimated blood loss was 175.0 ± 146.5 mL, and mean length of ureteral excision on pathologic analysis was 1.6 ± 0.7 cm. There were no immediate or delayed adverse effects attributable to intraureteral ICG administration. Mean hospital length of stay was 1.6 ± 1.5 days, with no postoperative complications. Mean follow-up was 5.9 ± 1.5 months, and all cases were clinically and radiographically successful at last follow-up.

CONCLUSION: Intraureteral injection of ICG with visualization under NIR light allows for real-time delineation of the ureter. Additionally, ICG administration aids in discerning healthy ureter from diseased tissue, further assisting successful robotic ureteral repair.

Volume

82

Issue

3

First Page

729

Last Page

733

ISSN

1527-9995

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

23987169

Department(s)

Administration and Leadership

Document Type

Article

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