Mapelli Andrea, Serafin Marco, Dolci Carolina, Gibelli Daniele, Caprioglio Alberto, Sforza Chiarella, Tartaglia Gianluca Martino
Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy.
Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
J Clin Med. 2022 Feb 16;11(4):1016. doi: 10.3390/jcm11041016.
(1) Introduction: The purpose of this work was to describe a method and propose a novel accuracy index to assess orthodontic alignment performance. (2) Methods: Fifteen patients who underwent orthodontic treatment using directly printed clear aligners were recruited. The study sample included 12 maxillary and 10 mandibular arches, whose pre-treatment, predicted and post-treatment digital models were superimposed on the untreated posterior teeth by means of a best-fit surface-based registration, which was also used to transfer three anatomical landmarks, digitally labeled on the crown of each anterior moving tooth, from the pre-treatment to the predicted and post-treatment models. The Teeth Alignment Performance (TAP) index, quantifying how close the final landmarks were to their expected final position, was proposed as an accuracy index of both individual tooth and group of teeth movement, and its inter-examiner repeatability was tested. (3) Results: No systematic inter-rater discrepancy associated with TAP was observed ( > 0.05), not even when a slight systematic inter-rater difference in landmark labelling was detected (for the upper central incisors, < 0.001). In addition, all Intra-class Correlation Coefficient (ICC) values showed excellent inter-rater agreement (>0.95), and the small Random Error of Measurement (REM), ranging from 1% for the arch TAP to 3% for the lower canine TAP, indicated that this accuracy index is highly repeatable. (4) Conclusions: The TAP index was proven to be comprehensive, consistent and reliable in assessing the performance of teeth alignment according to a digital plan. The proposed method is also suitable to be implemented in the clinical digital workflow.
(1) 引言：本研究旨在描述一种方法，并提出一种新颖的准确性指标，以评估正畸排齐效果。(2) 方法：招募了15例使用直接打印的透明矫治器进行正畸治疗的患者。研究样本包括12个上颌牙弓和10个下颌牙弓，其治疗前、预测和治疗后的数字模型通过基于最佳拟合曲面的配准方法，叠加在未治疗的后牙上，该方法还用于将每个前牙移动牙冠上数字标记的三个解剖标志点，从治疗前模型转移到预测和治疗后模型。提出了牙齿排齐性能（TAP）指标，用于量化最终标志点与其预期最终位置的接近程度，作为单个牙齿和牙齿组移动的准确性指标，并测试了其检查者间的重复性。(3) 结果：未观察到与TAP相关的系统评分者差异（>0.05），即使在检测到标志点标记存在轻微的系统评分者差异时（上颌中切牙，<0.001）也是如此。此外，所有组内相关系数（ICC）值均显示出极好的评分者间一致性（>0.95），测量随机误差（REM）较小，从牙弓TAP的1%到下颌尖牙TAP的3%不等，表明该准确性指标具有高度可重复性。(4) 结论：TAP指标在根据数字计划评估牙齿排齐性能方面被证明是全面、一致和可靠的。所提出的方法也适用于临床数字工作流程。
