Department of Orthodontics, School and Hospital of Stomatology, Shandong University, Shandong Key Laboratory of Oral Tissue Regeneration, Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong Provincial Clinical Research Center for Oral Diseases, Cheeloo College of Medicine, Shandong University, Jinan, 250100, Shandong, China.
Hospital of Stomatology, Ningbo, Zhejiang, China.
Clin Oral Investig. 2023 Nov;27(11):6813-6821. doi: 10.1007/s00784-023-05295-6. Epub 2023 Oct 5.
The objectives of this study included using the cone beam computed tomography (CBCT) technology to assess: (1) intra- and inter-observer reliability of the volume measurement of the nasal cavity; (2) the accuracy of the segmentation protocol for evaluation of the nasal cavity.
This study used test-retest reliability and accuracy methods within two different population sample groups, from Eastern Asia and North America. Thirty obstructive sleep apnea (OSA) patients were randomly selected from administrative and research oral health data archived at two dental faculties in China and Canada. To assess the reliability of the protocol, two observers performed nasal cavity volume measurement twice with a 10-day interval, using Amira software (v4.1, Visage Imaging Inc., Carlsbad, CA). The accuracy study used a computerized tomography (CT) scan of an OSA patient, who was not included in the study sample, to fabricate an anthropomorphic phantom of the nasal cavity volume with known dimensions (18.9 ml, gold standard). This phantom was scanned using one NewTom 5G (QR systems, Verona, Italy) CBCT scanner. The nasal cavity was segmented based on CBCT images and converted into standard tessellation language (STL) models. The volume of the nasal cavity was measured on the acquired STL models (18.99 ± 0.066 ml).
The intra-observer and inter-observer intraclass correlation coefficients for the volume measurement of the nasal cavity were 0.980-0.997 and 0.948-0.992 consecutively. The nasal cavity volume measurement was overestimated by 1.1%-3.1%, compared to the gold standard.
The semi-automatic segmentation protocol of the nasal cavity in patients with sleep apnea and by using cone beam computed tomography is reliable and accurate.
This study provides a reliable and accurate protocol for segmentation of nasal cavity, which will facilitate the clinician to analyze the images within nasoethmoidal region.
本研究旨在利用锥形束计算机断层扫描（CBCT）技术评估：（1）鼻腔容积测量的观察者内和观察者间可靠性；（2）评估鼻腔的分割协议的准确性。
本研究在两个不同的人群样本组中使用了测试-再测试可靠性和准确性方法，一个来自东亚，一个来自北美。从中国和加拿大的两个牙科机构的行政和研究口腔健康数据档案中随机选择了 30 名阻塞性睡眠呼吸暂停（OSA）患者。为了评估该方案的可靠性，两名观察者在 10 天的间隔内使用 Amira 软件（v4.1，Visage Imaging Inc.，加利福尼亚州卡尔斯巴德）进行了两次鼻腔容积测量。在准确性研究中，使用一位未包含在研究样本中的 OSA 患者的计算机断层扫描（CT）扫描来制作具有已知尺寸（18.9 ml，金标准）的鼻腔容积的拟人化体模。该体模使用一台 NewTom 5G（QR 系统，维罗纳，意大利）CBCT 扫描仪进行扫描。根据 CBCT 图像对鼻腔进行分割，并转换为标准三角测量语言（STL）模型。在获取的 STL 模型上测量鼻腔的体积（18.99 ± 0.066 ml）。
鼻腔容积测量的观察者内和观察者间内类相关系数分别为 0.980-0.997 和 0.948-0.992。与金标准相比，鼻腔容积测量值高估了 1.1%-3.1%。
用于睡眠呼吸暂停患者的锥形束计算机断层扫描的鼻腔半自动分割方案具有可靠性和准确性。
本研究为鼻腔分段提供了一种可靠且准确的方法，这将有助于临床医生分析鼻额区域的图像。
