PDF(Pubmed)
Abstract：
BACKGROUND: The objective of the present study was to evaluate the reliability of an augmented reality drilling approach and a freehand drilling technique for the autotransplantation of single-rooted teeth.
METHODS: Forty samples were assigned to the following surgical techniques for drilling guidance of the artificial sockets: A. augmented reality technique (AR) (n = 20) and B. conventional free-hand technique (FT) (n = 20). Then, two models with 10 teeth each were submitted to a preoperative cone-beam computed tomography (CBCT) scan and a digital impression by a 3D intraoral scan. Afterwards, the autotrasplanted teeth were planned in a 3D dental implant planning software and transferred to the augmented reality device. Then, a postoperative CBCT scan was performed. Data sets from postoperative CBCT scans were aligned to the planning in the 3D implant planning software to analize the coronal, apical and angular deviations. Student\'s t-test and Mann-Whitney non-parametric statistical analysis were used to analyze the results.
RESULTS: No statistically significant differences were shown at coronal (p = 0.123) and angular (p = 0.340) level; however, apical deviations between AR and FT study groups (p = 0.008) were statistically significant different.
CONCLUSIONS: The augmented reality appliance provides higher accuracy in the positioning of single-root autotransplanted teeth compared to the conventional free-hand technique.
METHODS: Forty samples were assigned to the following surgical techniques for drilling guidance of the artificial sockets: A. augmented reality technique (AR) (n = 20) and B. conventional free-hand technique (FT) (n = 20). Then, two models with 10 teeth each were submitted to a preoperative cone-beam computed tomography (CBCT) scan and a digital impression by a 3D intraoral scan. Afterwards, the autotrasplanted teeth were planned in a 3D dental implant planning software and transferred to the augmented reality device. Then, a postoperative CBCT scan was performed. Data sets from postoperative CBCT scans were aligned to the planning in the 3D implant planning software to analize the coronal, apical and angular deviations. Student\'s t-test and Mann-Whitney non-parametric statistical analysis were used to analyze the results.
RESULTS: No statistically significant differences were shown at coronal (p = 0.123) and angular (p = 0.340) level; however, apical deviations between AR and FT study groups (p = 0.008) were statistically significant different.
CONCLUSIONS: The augmented reality appliance provides higher accuracy in the positioning of single-root autotransplanted teeth compared to the conventional free-hand technique.
摘要：
背景：本研究的目的是评估增强现实钻孔方法和徒手钻孔技术用于单根牙齿自体移植的可靠性。
方法:将40个样本分配到以下手术技术中,用于人造插座的钻孔引导:A.增强现实技术(AR)(n=20)和B.常规徒手技术(FT)(n=20)。然后，2个模型,每个10颗牙齿接受术前锥形束计算机断层扫描(CBCT)扫描和3D口内扫描数字印模.之后,在3D牙种植计划软件中计划了自动植入的牙齿，并将其转移到增强现实设备中。然后，进行了术后CBCT扫描.将术后CBCT扫描的数据集与3D植入物计划软件中的计划对齐，以分析冠状，顶端和角度偏差。采用学生t检验和Mann-Whitney非参数统计分析对结果进行分析。
结果：在冠状（p=0.123）和角度（p=0.340）水平上没有统计学上的显着差异；但是，AR和FT研究组之间的顶端偏差(p=0.008)有统计学差异.
结论：与传统的徒手技术相比，增强现实设备在定位单根自体移植牙齿方面提供了更高的准确性。
方法:将40个样本分配到以下手术技术中,用于人造插座的钻孔引导:A.增强现实技术(AR)(n=20)和B.常规徒手技术(FT)(n=20)。然后，2个模型,每个10颗牙齿接受术前锥形束计算机断层扫描(CBCT)扫描和3D口内扫描数字印模.之后,在3D牙种植计划软件中计划了自动植入的牙齿，并将其转移到增强现实设备中。然后，进行了术后CBCT扫描.将术后CBCT扫描的数据集与3D植入物计划软件中的计划对齐，以分析冠状，顶端和角度偏差。采用学生t检验和Mann-Whitney非参数统计分析对结果进行分析。
结果：在冠状（p=0.123）和角度（p=0.340）水平上没有统计学上的显着差异；但是，AR和FT研究组之间的顶端偏差(p=0.008)有统计学差异.
结论：与传统的徒手技术相比，增强现实设备在定位单根自体移植牙齿方面提供了更高的准确性。
