Shi Jiayu, Lin Guoye, Bao Rui, Zhang Zhen, Tang Jin, Chen Wenyue, Chen Hongjin, Zuo Xinwei, Feng Qianjin, Liu Shuguang
Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China.
School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
Dentomaxillofac Radiol. 2024 Jun 28;53(5):325-335. doi: 10.1093/dmfr/twae017.
Currently, there is no reliable automated measurement method to study the changes in the condylar process after orthognathic surgery. Therefore, this study proposes an automated method to measure condylar changes in patients with skeletal class II malocclusion following surgical-orthodontic treatment.
Cone-beam CT (CBCT) scans from 48 patients were segmented using the nnU-Net network for automated maxillary and mandibular delineation. Regions unaffected by orthognathic surgery were selectively cropped. Automated registration yielded condylar displacement and volume calculations, each repeated three times for precision. Logistic regression and linear regression were used to analyse the correlation between condylar position changes at different time points.
The Dice score for the automated segmentation of the condyle was 0.971. The intraclass correlation coefficients (ICCs) for all repeated measurements ranged from 0.93 to 1.00. The results of the automated measurement showed that 83.33% of patients exhibited condylar resorption occurring six months or more after surgery. Logistic regression and linear regression indicated a positive correlation between counterclockwise rotation in the pitch plane and condylar resorption (P < .01). And a positive correlation between the rotational angles in both three planes and changes in the condylar volume at six months after surgery (P ≤ .04).
This study's automated method for measuring condylar changes shows excellent repeatability. Skeletal class II malocclusion patients may experience condylar resorption after bimaxillary orthognathic surgery, and this is correlated with counterclockwise rotation in the sagittal plane.
This study proposes an innovative multi-step registration method based on CBCT, and establishes an automated approach for quantitatively measuring condyle changes post-orthognathic surgery. This method opens up new possibilities for studying condylar morphology.
目前,尚无可靠的自动测量方法来研究正颌外科手术后髁突的变化。因此,本研究提出一种自动测量方法,用于测量正畸正颌联合治疗后骨骼II类错颌患者的髁突变化。
使用nnU-Net网络对48例患者的锥形束CT(CBCT)扫描进行分割,以自动描绘上颌骨和下颌骨。选择性裁剪未受正颌外科手术影响的区域。自动配准得出髁突位移和体积计算结果,各重复三次以确保精度。采用逻辑回归和线性回归分析不同时间点髁突位置变化之间的相关性。
髁突自动分割的Dice评分为0.971。所有重复测量的组内相关系数(ICC)范围为0.93至1.00。自动测量结果显示,83.33%的患者在术后六个月或更长时间出现髁突吸收。逻辑回归和线性回归表明,矢状面逆时针旋转与髁突吸收之间存在正相关(P < 0.01)。并且三个平面的旋转角度与术后六个月髁突体积变化之间存在正相关(P≤0.04)。
本研究用于测量髁突变化的自动方法具有出色的可重复性。骨骼II类错颌患者在双颌正颌外科手术后可能会出现髁突吸收,这与矢状面逆时针旋转相关。
本研究提出了一种基于CBCT的创新多步骤配准方法,并建立了一种自动方法来定量测量正颌外科手术后髁突的变化。该方法为研究髁突形态开辟了新的可能性。