In vitro accuracy of static guided implant surgery measured by optical scan: Examining the impact of operator experience

Chia Cheng Lin, Masahiro Ishikawa, Bai Hung Huang, Mao Suan Huang, Hsin Chung Cheng, Takeo Maida, Takashi Nezu, Kazuhiko Endo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Studies examining the effect of operator experience on the accuracy of static guided implant surgery have used postoperative computed tomography (CT) images to measure the error, with inconsistent results. The purpose of this study was to try to clarify this issue by using a measurement method based on the postoperative optical scan. Thirty dentists were divided into an experienced group and an inexperienced group. On a partially edentulous mandibular model in the manikin head, each dentist placed three implants via the stereolithographic (SLA) surgical guide. The implant positions were identified by a desktop scanner and compared with the planned positions using a metrology software program. No statistically significant differences were observed for any of the measured positional and angular deviations of the three implant sites between experienced and inexperienced operators (p > 0.01). All the mean values of deviations of the inexperienced group, except the depth deviation, were less than the experienced group. Implants inserted by dentists under 40 years old had significantly better accuracy than senior doctors in the global deviation at implant apex (p = 0.006). Within the limits of this study, we concluded that operator experience is not a critical factor in achieving the accuracy of guided implant surgery via the tooth-supported SLA surgical guide. Large deviations could occur even with the aid of the SLA surgical guide, and care must be taken to avoid errors for both experienced and inexperienced operators.

Original languageEnglish
Article number2718
JournalApplied Sciences (Switzerland)
Issue number8
Publication statusPublished - Apr 1 2020


  • Accuracy
  • Computer-aided design/computer-aided manufacturing (CAD/CAM)
  • Guided implant surgery
  • Operator experience
  • Optical scan; 3D-planning
  • Stereolithographic surgical guide

ASJC Scopus subject areas

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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