Use of three points to determine the accuracy of guided implantation

• DOI: 10.1371/journal.pone.0225823
• Publication Date: 2019-12-03T13:34:27Z
• Authors: Ye Liang; ShanShan Yuan; JingJing Huan; HuiXin Wang; YiYi Zhang; ChangYun Fang; Jia-Da Li
• Keywords: Landmark; Accuracy and precision; Python

Aim 'This study aims to establish an open-source algorithm using Python analyze the accuracy of guided implantation, which simplifies interstudy comparisons. Methods Given ≥3 landmark pairs, this Tri-Point (TriP) method can register images. With ≥4 TriP calculate system errors for image registration. We selected 8 indicators from literature. Considering development in new bone on cone beam computed tomography (CBCT), we added apical rectified deviation (ARD) and coronal (CRD), providing accurate references but neglecting depth deviations. Our program output these indicators. To evaluate method’s feasibility, implantation group assisted by a Visual Direction-INdicating Guide (VDING) was analyzed. Accuracy measured with traditional proposed methods. Factors affecting error were then Results Comparisons paired-sample t-tests showed that our similar evaluating accuracy, no significant difference (P>0.05). The average 0.30±0.10 mm when evaluated VDING template. results increasing provided landmarks 4 5 pairs decreased between-group differences significantly (P<0.05). ≥6 landmarks, tended be stable, groups statistically Large distances between are helpful reducing error, as demonstrated geometric method. Conclusions This established reported.