Lymphosonographic sentinel node biopsy of the supraglottis in a swine model.
Publication/Presentation Date
12-1-2008
Abstract
OBJECTIVE: To test the feasibility of a novel contrast-enhanced ultrasound (CEUS) technique, or lymphosonography, for sentinel node biopsy (SNB) of the supraglottis in a porcine model.
STUDY DESIGN AND SETTING: In this prospective, nonrandomized animal study, blue dye and ultrasound contrast agent were injected into the supraglottis in seven 50-kg Yorkshire swine. Transcutaneous CEUS was used to identify real-time lymphatic flow of contrast through lymph channels (LC) to the sentinel lymph node (SLN). SNB was carried out, visually identifying a blue node, with the assistance of intraoperative CEUS. Bilateral modified radical neck dissections were performed to search for any residual contrast-positive or blue SLNs.
RESULTS: In each case, at least one SLN was identified by preoperative CEUS. A total of 12 nodes were identified on preoperative CEUS, and 11 of 12 nodes were stained with blue dye (91.7%). No residual blue or contrast-positive nodes were identified on neck dissection.
CONCLUSIONS: Lymphosonographic SNB of the supraglottis in a porcine model is technically feasible, and yields results comparable to traditional blue dye-guided techniques. No "shine-through" effect or nonsequential nodal enhancement occurred. This technique holds promise for sentinel node biopsy and allows a novel method for in vivo investigation of the lymphatic system.
Volume
139
Issue
6
First Page
798
Last Page
804
ISSN
0194-5998
Published In/Presented At
Curry, J. M., Grindle, C. R., Merton, D. A., Goldberg, B. B., Rosen, D., & Pribitkin, E. A. (2008). Lymphosonographic sentinel node biopsy of the supraglottis in a swine model. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 139(6), 798–804. https://doi.org/10.1016/j.otohns.2008.08.029
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
19041506
Department(s)
Administration and Leadership
Document Type
Article