A prediction method and evaluation for assessing guide-supported dental implant accuracy

Area of Science:

• Dental Implantology
• Surgical Guide Technology
• Biomedical Engineering

Background:

• Accurate dental implant placement is essential for successful functional and esthetic outcomes.
• Surgical guides are commonly used to improve implant positioning accuracy.
• The cumulative influence of surgical guide systems on implant accuracy requires further investigation.

Purpose of the Study:

• To develop a predictive mathematical model for assessing dental implant accuracy.
• To evaluate the cumulative system influence of tooth-supported surgical guides on implant accuracy.
• To quantify the impact of locating surface errors on implant positioning.

Main Methods:

• A mathematical model using Jacobian matrix expressions was constructed to determine the influence of surface changes on a specific point.
• Tooth-supported surgical guides with a specific locating surface were designed for model verification.
• Ten guides were fabricated for in vitro virtual implant accuracy tests to assess deviations.

Main Results:

• Locating surface errors as small as 0.15 mm in surgical guides caused significant deviations in virtual implant positioning.
• Errors in the placement of tooth-supported guides were found to significantly impact overall implant accuracy.
• The study demonstrated a quantifiable relationship between guide errors and implant positioning deviations.

Conclusions:

• Precise placement of tooth-supported surgical guides is critical for achieving accurate dental implant positioning.
• The developed predictive method can help assess potential deviations in implant accuracy.
• Minimizing locating surface errors in surgical guides is essential for improving functional and esthetic results in dental implantology.