Department of Orthodontics, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, 100081, Beijing, People's Republic of China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, 22 Zhongguancun Avenue South, Haidian District, 100081, Beijing, People's Republic of China.
Int J Comput Assist Radiol Surg. 2022 Apr;17(4):751-759. doi: 10.1007/s11548-021-02513-y. Epub 2021 Oct 8.
To evaluate the validity and reliability of cone-beam computed tomography (CBCT) masseter muscle segmentation by comparing with the magnetic resonance imaging (MRI) masseter muscle segmentation of the same patients.
Seventeen volunteers were included in this study. CBCT and MRI scans of the volunteers were taken, respectively, within one month. The masseter muscles in the CBCT scans were segmented by a generative adversarial network (GAN)-based framework combined with manual check. The masseter muscles in the MRI scans were segmented manually. The segmentations were repeated by the first examiner and a second examiner. For cross-sectional area (CSA), paired t-test, intraclass correlation coefficient (ICC) and standard error of measurement (SEM) were calculated to evaluate the validity and reliability of the segmentations. The validity and reliability were also calculated by Dice similarity coefficient (DSC) and average Hausdorff distance (aHD) between different segmentations. Seventeen volunteers were included in this study. CBCT and MRI scans of the volunteers were taken, respectively, within one month. The masseter muscles in the CBCT scans were segmented by a generative adversarial network (GAN)-based framework combined with manual check. The masseter muscles in the MRI scans were segmented manually. The segmentations were repeated by the first examiner and a second examiner. For cross-sectional area (CSA), paired t-test, intraclass correlation coefficient (ICC) and standard error of measurement (SEM) were calculated to evaluate the validity and reliability of the segmentations. The validity and reliability were also calculated by Dice similarity coefficient (DSC) and average Hausdorff distance (aHD) between different segmentations.
Paired t-test showed that there was no significant difference in CSA between CBCT and MRI masseter segmentations. The ICCs were all larger than 0.95 and the SEM was less than 4.85 mm for CSA. The DSC was all larger than 0.95 showing over 95% of similarity between CBCT and MRI masseter segmentations. The aHD was all smaller than 0.09 mm showing great consistency of the contour of CBCT and MRI segmentations.
Masseter muscle segmentation from CBCT scans was not significantly different from the segmentation from MRI scans. CBCT muscle segmentation showed great validity compared with MRI scans, and great reliability in retests.
通过与同一患者的磁共振成像（MRI）咬肌分段比较，评估基于生成对抗网络（GAN）的框架结合手动检查的锥形束 CT（CBCT）咬肌分段的有效性和可靠性。
本研究纳入了 17 名志愿者。在一个月内分别对志愿者进行 CBCT 和 MRI 扫描。使用基于生成对抗网络（GAN）的框架结合手动检查对 CBCT 扫描中的咬肌进行分段。使用手动方法对 MRI 扫描中的咬肌进行分段。由第一检查者和第二检查者重复分段。对于横截面积（CSA），使用配对 t 检验、组内相关系数（ICC）和测量标准误差（SEM）来评估分段的有效性和可靠性。还通过不同分段之间的 Dice 相似系数（DSC）和平均 Hausdorff 距离（aHD）来计算有效性和可靠性。
配对 t 检验显示 CBCT 和 MRI 咬肌分段的 CSA 之间无显著差异。ICC 均大于 0.95，CSA 的 SEM 小于 4.85mm。DSC 均大于 0.95，表明 CBCT 和 MRI 咬肌分段之间的相似度超过 95%。aHD 均小于 0.09mm，表明 CBCT 和 MRI 分段的轮廓一致性非常好。
CBCT 扫描中的咬肌分段与 MRI 扫描中的分段没有显著差异。与 MRI 扫描相比，CBCT 肌肉分段具有较高的有效性，且重测具有较高的可靠性。
