| Literature DB >> 27073797 |
Seong-Yong Moon1, Kyoung-Rok Lee2, Su-Gwan Kim1, Mee-Kyoung Son3.
Abstract
BACKGROUND: The utilization of a cone-beam computed tomography (CT)-assisted surgical template allows for predictable results because implant placement plans can be performed in the actual surgery. In order to assess the accuracy of the CT-guided surgery, angular errors and shoulder/apex distance errors were evaluated by data fusion from before and after the placement.Entities:
Keywords: Angular errors; CT-guided surgery; Computer-assisted surgery; Distance errors; Implant
Year: 2016 PMID: 27073797 PMCID: PMC4819455 DOI: 10.1186/s40902-016-0063-3
Source DB: PubMed Journal: Maxillofac Plast Reconstr Surg ISSN: 2288-8101
Fig. 1Five implants were placed in the simulation software at the time of preoperative planning. a Surgical template was designed in the software. b Surgical template and sleeve were seen in cross section. c Five implants’ locations were seen in panoramic CT view. d Implants were seen in axial view
Fig. 2Fabricated surgical template
Fig. 3Fused image for the comparison of the preoperative implant position and the postoperative implant position
Fig. 4The angular and distance (shoulder/apical) error analysis of the preoperative and postoperative implant fixture body. a The distance error (mm) of the fixture center at the implant shoulder area. b The distance error (mm) of the fixture center at the implant apex area. c The angular error (°) of the implant fixtures [5]
Angular and distance errors of the preoperatively planned implant position and the postoperative implant position
| Patient no. (edentulous state) | Position | Angular error (°) | Shoulder error (mm) | Apical error (mm) | ||||
|---|---|---|---|---|---|---|---|---|
| Horizontal error | Vertical error | Horizontal error | Vertical error | |||||
| dx | dy | dz | dx | dy | dz | |||
| 1 (Partial) | #36 | 6,74 | 0.1 | 0.91 | 0.33 | 0.4 | 2.05 | 0.36 |
| #37 | 4.43 | 0.48 | 0.72 | 0.3 | 0.1 | 1.39 | 0.38 | |
| 2 (Partial) | #36 | 4.1 | 0.29 | 0.02 | 0.33 | 0.4 | 0.16 | 0.26 |
| #37 | 4.32 | 0.46 | 0.09 | 0.62 | 1.04 | 0.58 | 0.66 | |
| 3 (Partial) | #25 | 2.44 | 0.41 | 0.17 | 1.07 | 0.5 | 0.58 | 1.15 |
| #26 | 7.88 | 0.95 | 1.02 | 1.86 | 1.44 | 2.3 | 2.02 | |
| 4 (Partial) | #41 | 0.71 | 0.71 | 0.42 | 0.49 | 0.71 | 0.42 | 0.49 |
| #42 | 3.05 | 1.18 | 0.2 | 0.09 | 1.18 | 0.2 | 0.09 | |
| #43 | 3.77 | 1.71 | 0.62 | 0.22 | 1.72 | 0.01 | 0.11 | |
| #44 | 3.08 | 1.46 | 0.03 | 0.04 | 1.47 | 0.5 | 0.11 | |
| #45 | 4.82 | 1.96 | 0.14 | 0.63 | 1.97 | 0.97 | 0.73 | |
| 5 (Full) | #26 | 3.56 | 0.22 | 0.54 | 1.78 | 0.2 | 1.14 | 1.93 |
| #24 | 3.01 | 0.42 | 0.14 | 1.04 | 0.43 | 0.37 | 1.16 | |
| #23 | 4.95 | 0.11 | 0.02 | 0.83 | 0.09 | 0.88 | 0.66 | |
| #22 | 3.97 | 0.08 | 0.14 | 0.64 | 0.05 | 0.55 | 0.58 | |
| #12 | 5.03 | 0.01 | 0.19 | 0.07 | 0 | 0.67 | 0.05 | |
| #13 | 1.97 | 0.11 | 0.41 | 0.72 | 0.1 | 0.06 | 0.69 | |
| #14 | 3.86 | 0.06 | 0.46 | 0.47 | 0.06 | 1.15 | 0.42 | |
| #16 | 4.12 | 0.02 | 0.24 | 0.43 | 0.02 | 0.94 | 0.39 | |
| Mean ± standard deviation | 3.84 ± 1.49 | 0.57 ± 0.61 | 0.34 ± 0.30 | 0.63 ± 0.51 | 0.63 ± 0.64 | 0.79 ± 0.62 | 0.64 ± 0.57 | |
| Horizontal and vertical error (mean ± standard deviation) | 0.45 ± 0.48 | 0.63 ± 0.51 | 0.70 ± 0.63 | 0.64 ± 0.57 | ||||
Horizontal error: dx and dy; vertical error: dz; distance error: dx, dy, and dz