Journal of Rhinology 2012;19(1):45-49.
Published online May 31, 2012.
The Usefulness of Cone Beam Computed Tomography in Endoscopic Sinus Surgery
Won Keun Woo, Woo Chul Shin, Do Kwang Jung, Yong Bae Lee, Sang Duck Lee
Hana ENT Hospital, Seoul, Korea. lsd1347@hotmail.com
부비동 내시경 수술에서 Cone Beam Computed Tomography의 유용성
우원근, 신우철, 정도광, 이용배, 이상덕
하나이비인후과병원
Abstract
Background and Objectives
Cone beam CT is a relatively new radiologic technique for head and neck imaging, and is widely used in dentistry to plan implant procedures. Compared to conventional CT, it has greater spatial resolution, a lower radiation dose (about 10% that of conventional CT), and lower cost. The objective of this study was to evaluate the utility of cone beam CT for endoscopic sinus surgery.
SUBJECTS AND METHOD
S: A total of 50 patients were involved. Endoscopic sinus surgery was performed unilaterally under local anesthesia, so we used the half Lund-Mackay score to quantify preoperative CT findings. The intraoperative severity score was also determined, and the relationship between the preoperative Lund-Mackay score and intraoperative severity was assessed. The subjective level of operator satisfaction was scored on a ten-point visual analogue scale in terms of four items: overall satisfaction, disease extent of each sinus, identification of anatomic landmarks, and distinction of soft tissue characteristics.
Results
The preoperative half Lund-Mackay score was 5.26 and the intraoperative severity score was 5.02; these two scores were significantly correlated (p < 0.01). The level of overall operator satisfaction was relatively high (9.04/10).
Conclusion
Cone beam CT is a useful imaging method for preoperative evaluation of endoscopic sinus surgery.
Key Words: Endoscopic Sinus Surgery;Computed Tomography




Editorial Office
101 Hyundai ESA Apt., 20, Hyoryeong-ro 77-gil, Seocho-gu, Seoul 06628, Republic of Korea
Tel: +82-2-3461-9945    Fax: +82-2-3461-9947    E-mail: office@j-rhinology.org                

Copyright © 2024 by Korean Rhinologic Society.

Developed in M2PI

Close layer
prev next