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Updated: May 26, 2026

An Improved Mechanical Testing Method to Assess Bone-implant Anchorage
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Published on: February 10, 2014

Relation between insertion torque and bone-implant contact percentage: an artificial bone study.

Cheng Liu1, Ming-Tzu Tsai, Heng-Li Huang

  • 1Institute of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan.

Clinical Oral Investigations
|January 10, 2012
PubMed
Summary

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The peak insertion torque value (ITV) of dental implants strongly correlates with bone-implant contact percentage (BIC%). This relationship helps predict initial implant stability and optimal loading times for better clinical outcomes.

Area of Science:

  • Biomaterials Science
  • Dental Implantology
  • Orthopedic Biomechanics

Background:

  • Assessing initial dental implant stability is crucial for successful osseointegration.
  • Bone-implant contact percentage (BIC%) is a key indicator of osseointegration.
  • Insertion torque value (ITV) is a readily measurable parameter during implant placement.

Purpose of the Study:

  • To investigate the correlation between dental implant insertion torque value (ITV) and bone-implant contact percentage (BIC%).
  • To evaluate the predictive capability of ITV for initial BIC% in various bone densities.

Main Methods:

  • Dental implants were placed in artificial bone models with varying cancellous bone densities.
  • Micro-computed tomography (micro-CT) was used to determine three-dimensional (3D) bone-implant contact percentage (BIC%).

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  • Pearson's correlation coefficients were calculated to analyze the relationship between ITV and BIC%.
  • Main Results:

    • A strong positive correlation (r=0.797, P<0.0001) was found between ITV and 3D BIC%.
    • Higher ITVs were observed in denser bone models, correlating with higher BIC% values.
    • Specific mean ITVs and BIC% values were reported for each bone density group.

    Conclusions:

    • Initial implant stability, measured by ITV, is a reliable predictor of 3D BIC%.
    • ITV can provide valuable clinical insights into the initial osseointegration potential.
    • This correlation aids clinicians in determining optimal dental implant loading protocols.