Department of Oral and Maxillofacial Surgery II, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Odontology. 2020 Jan;108(1):124-132. doi: 10.1007/s10266-019-00438-2. Epub 2019 Jun 17.
The study aimed to stratify the risk of inferior alveolar nerve injury (IANI) after lower third molar (LM3) surgery with a scoring system using identified predictive factors based on cone-beam computed tomography (CBCT) images. In a case-control study, the primary outcome was IANI occurrence. The control group included randomly selected patients without IANI. Predictor variables included patient demographics, surgical situations, Pell-Gregory classification, and inferior alveolar canal (IAC)-associated factors on CBCT. Study variables were analyzed using logistic regression models. Risk stratification was assessed by a scoring system that was constructed using independent predictors. The 858 patients who underwent LM3 surgery (1177 teeth) after CBCT scan were divided into case (25 patients, 2.9%, 27 teeth) and control (235 patients, 300 teeth) groups. In the multivariate model, lingual/inter-radicular position of IAC [odds ratio (OR) 7.21; P < 0.001; assigned score, 2], multiple roots closed to the IAC with cortical perforation (OR 3.72; P = 0.015; 1), and age > 30 years (OR 4.99; P = 0.008; 2) were associated with an increased IANI-risk. The IANI-risk scoring system could be stratified into low- and high-risk groups at a cutoff score of 3 (sensitivity, 68.0%; specificity, 90.6%; positive predictive value, 17.8%; positive likelihood ratio, 7.23). In conclusion, the high-risk group of IANI after LM3 surgery corresponded to individuals with multiple factors: lingual/inter-radicular IAC position to LM3, multiple roots with perforated IAC, and increased age (> 30 years). Raising awareness of the higher probability for IANI is needed for patients with multiple aforementioned factors.
本研究旨在建立一种基于锥形束 CT(CBCT)图像识别预测因素的评分系统,对下颌第三磨牙(LM3)术后下齿槽神经损伤(IANI)的风险进行分层。采用病例对照研究,主要结局为 IANI 发生情况。对照组为随机选择的无 IANI 患者。预测变量包括患者人口统计学、手术情况、Pell-Gregory 分类和 CBCT 上的下牙槽神经管(IAC)相关因素。研究变量采用逻辑回归模型进行分析。采用独立预测因素构建评分系统进行风险分层评估。对 858 例接受 CBCT 扫描后行 LM3 手术(1177 颗牙)的患者进行分组,其中病例组(25 例,2.9%,27 颗牙)和对照组(235 例,300 颗牙)。多变量模型中,IAC 舌侧/根间位置(比值比 [OR] 7.21;P < 0.001;赋值评分 2)、多个靠近皮质穿孔的 IAC 根(OR 3.72;P = 0.015;1)和年龄>30 岁(OR 4.99;P = 0.008;2)与 IANI 风险增加相关。IANI 风险评分系统可在截取值为 3 时分为低危和高危组(灵敏度 68.0%,特异度 90.6%,阳性预测值 17.8%,阳性似然比 7.23)。总之,LM3 术后 IANI 的高危组对应于具有多个因素的个体:LM3 与 IAC 的舌侧/根间位置、多个有穿孔的 IAC 根和年龄增加(>30 岁)。对于存在上述多个因素的患者,需要提高对 IANI 发生概率较高的认识。