Title: Reproducibility of the sella turcica landmark in three dimensions using a sella turcica-specific reference system
Authors: Pittayapat, Pisha ×
Jacobs, Reinhilde
A Odri, Guillaume
de Faria Vasconcelos, Karla
Willems, Guy
Olszewski, Raphael #
Issue Date: Mar-2015
Publisher: Korean Academy of Oral and Maxillofacial Radiology
Series Title: Imaging Science in Dentistry vol:45 issue:1 pages:15-22
Abstract: PURPOSE:
This study was performed to assess the reproducibility of identifying the sella turcica landmark in a three-dimensional (3D) model by using a new sella-specific landmark reference system.

Thirty-two cone-beam computed tomographic scans (3D Accuitomo® 170, J. Morita, Kyoto, Japan) were retrospectively collected. The 3D data were exported into the Digital Imaging and Communications in Medicine standard and then imported into the Maxilim® software (Medicim NV, Sint-Niklaas, Belgium) to create 3D surface models. Five observers identified four osseous landmarks in order to create the reference frame and then identified two sella landmarks. The x, y, and z coordinates of each landmark were exported. The observations were repeated after four weeks. Statistical analysis was performed using the multiple paired t-test with Bonferroni correction (intraobserver precision: p<0.005, interobserver precision: p<0.0011).

The intraobserver mean precision of all landmarks was <1 mm. Significant differences were found when comparing the intraobserver precision of each observer (p<0.005). For the sella landmarks, the intraobserver mean precision ranged from 0.43±0.34 mm to 0.51±0.46 mm. The intraobserver reproducibility was generally good. The overall interobserver mean precision was <1 mm. Significant differences between each pair of observers for all anatomical landmarks were found (p<0.0011). The interobserver reproducibility of sella landmarks was good, with >50% precision in locating the landmark within 1 mm.

A newly developed reference system offers high precision and reproducibility for sella turcica identification in a 3D model without being based on two-dimensional images derived from 3D data.
ISSN: 233-7822
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Orthodontics
Oral and Maxillo-facial Surgery - Imaging & Pathology (OMFS-IMPATH)
× corresponding author
# (joint) last author

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