Skip to search boxSkip to navigationSkip to main content

Intraoperative Ultrasonography during Transoral Robotic Surgery

  • Daniel R. Clayburgh
    ,
  • ,
  • Jennifer Bonfili
    ,
  • Umamaheswar Duvvuri(corresponding author)
*Corresponding author for this work
  • Oregon Health and Science University
    ,
  • ,
  • University of Pittsburgh
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Objective: This study describes the potential application of intraoperative ultrasound imaging during transoral robotic surgery (TORS). Methods: Ultrasound imaging was performed during transoral robotic resection of oropharyngeal tumors in 10 patients at a tertiary academic center. Ultrasound imaging was utilized to identify large-caliber vessels adjacent to the surgical site. Measurements were also taken on the ultrasound of tumor thickness to determine the deep margin. Following resection, the tumor was sectioned, and a gross measurement of the tumor thickness was obtained. Results: Intraoperative ultrasound use led to the identification of larger-caliber blood vessels within the operative field prior to encountering them visually. Ultrasound could also aid in defining deep tumor margins; the tumor thickness measured via ultrasound was found to be accurate within 1 to 2 mm of the grossly measured tumor thickness. This allowed for focused, careful dissection to protect and avoid blood vessels during dissection as well as improved tumor resection. Conclusions: The use of intraoperative ultrasound provides additional information to the head and neck surgeon during TORS. This may be used to identify blood vessels and assess tumor margins, thereby improving the safety and efficacy of TORS.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 37-42 (6 pages)

Journal (Volume, Issue Number)

Annals of Otology, Rhinology and Laryngology (Volume 125, Issue 1)

Publication milestones

  • Published - 01/2016

Publication status

Published - 01/2016

ISSN

0003-4894

Publication IDs

  • Scopus: 84960856961
  • PubMed: 26215725

Publication metrics

Metrics

SciVal
FWCI
0.65
SciVal
Author count
4
SciVal
citations
6
SciVal
Paper percentile
61
Scopus
citations
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Captures
36
Citation count
16

Funding Details

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was funded in part by a Career Development Award from the Department of Veterans Affairs BLR&D, and the PNC Foundation (U.D.).