Zhang Xiaoyu, Wang Lingxiao, Gao Zhenhua, Li Jun, Shan Zhaochen
Resident, Outpatient Department of Oral and Maxillofacial Surgery, School of Stomatology, and Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Resident, Outpatient Department of Oral and Maxillofacial Surgery and Department of Dental Implantology Center, School of Stomatology, Capital Medical University, Beijing, China.
J Oral Maxillofac Surg. 2019 Jul;77(7):1358.e1-1358.e8. doi: 10.1016/j.joms.2019.03.005. Epub 2019 Mar 14.
This study aimed to develop a straightforward and accurate index of impacted third molar removal difficulty through analyzing various factors to assess the difficulty level of impacted mandibular third molar (IMTM) extraction.
This prospective cohort study included 203 patients who required IMTM extraction. All patients were selected using the preset selection criteria. The present study assessed operation difficulty with operating time. A mathematical model and regression analysis were performed to explore 6 main factors (age, number of roots, degree of bone impaction, shape of roots, and impaction angle and its relation). Appropriate correction coefficients were obtained to formulate a new IMTM removal difficulty predictive index. Consistency of the κ value was checked to evaluate performance.
Degree of bone impaction had the highest correlation coefficient (0.576), followed by shape of roots (0.359), and the lowest correlation coefficient was for number of roots. The Pederson index for these 203 patients showed that 75, 76, and 52 patients had low, moderate, and high difficulty levels, respectively, whereas the new index categorized 78, 85, and 40 patients as having low, moderate, and high difficulty. Comparison of the Pederson index and new index with operating time showed κ agreements of 65.30 and 77.9% (P < .01), suggesting that the prediction results of the new index are more objective and accurate.
The newly proposed index is straightforward and efficient and exhibited promising results in κ agreement. Because of its straightforward nature, it is better suited for Chinese public hospitals with a large volume of patients who require alveolar surgery. The detection of predictor variables could be useful for graduate students, professionals, and general dental practitioners contemplating IMTM removal to assess the difficulty level of IMTM extraction.
本研究旨在通过分析各种因素来评估下颌阻生第三磨牙(IMTM)拔除的难度水平,从而制定一个简单准确的阻生第三磨牙拔除难度指数。
这项前瞻性队列研究纳入了203例需要拔除IMTM的患者。所有患者均根据预设的选择标准进行选取。本研究通过手术时间评估手术难度。进行数学模型和回归分析以探究6个主要因素(年龄、牙根数量、骨埋伏程度、牙根形态、埋伏角度及其关系)。获得适当的校正系数以制定新的IMTM拔除难度预测指数。检查κ值的一致性以评估性能。
骨埋伏程度的相关系数最高(0.576),其次是牙根形态(0.359),牙根数量的相关系数最低。这203例患者的Pederson指数显示,分别有75、76和52例患者的难度水平为低、中、高,而新指数将78、85和40例患者分类为低、中、高难度。将Pederson指数和新指数与手术时间进行比较,κ一致性分别为65.30%和77.9%(P <.01),表明新指数的预测结果更客观准确。
新提出的指数简单高效,在κ一致性方面显示出良好的结果。由于其简单性,它更适合患者量大的中国公立医院进行牙槽外科手术。预测变量的检测对于考虑拔除IMTM的研究生、专业人员和普通牙科医生评估IMTM拔除的难度水平可能有用。