Prediction of dental implant torque with a fast and automatic finite element analysis: a pilot study.

OBJECTIVES Despite its importance, implant removal torque can be assessed at present only after implantation. This paper presents a new technique to help clinicians preoperatively evaluate implant stability. STUDY DESIGN Planning software has been combined with an in-house finite element solver. Once the clinician has chosen the implant position on the planner, a finite element analysis automatically calculates the primary stability. The process was designed to be as simple and fast as possible for clinical use. This paper describes application of the method to the prediction of removal torque. A preliminary validation has been performed in both polyurethane foam and sheep bone. RESULTS The predicted torque is quantitatively equivalent to experimental values with correlation coefficients of >0.7 in both materials. CONCLUSIONS This preliminary study is a first step toward the introduction of finite element models in computer-assisted surgery. The fact that the process is fast and automatic makes it suitable for a clinical use.

[1]  R. G. Richards,et al.  Animal models for implant biomaterial research in bone: a review. , 2007, European cells & materials.

[2]  M. Viceconti,et al.  Mathematical relationships between bone density and mechanical properties: a literature review. , 2008, Clinical biomechanics.

[3]  B Reggiani,et al.  Predicting the subject-specific primary stability of cementless implants during pre-operative planning: preliminary validation of subject-specific finite-element models. , 2007, Journal of biomechanics.

[4]  Marco Viceconti,et al.  An accurate estimation of bone density improves the accuracy of subject-specific finite element models. , 2008, Journal of biomechanics.

[5]  Sadami Tsutsumi,et al.  Assessment of correlation between computerized tomography values of the bone and cutting torque values at implant placement: a clinical study. , 2005, The International journal of oral & maxillofacial implants.

[6]  M. Quirynen,et al.  A biomechanical assessment of the relation between the oral implant stability at insertion and subjective bone quality assessment. , 2007, Journal of clinical periodontology.

[7]  J. Wark,et al.  The potential of sheep for the study of osteopenia: current status and comparison with other animal models. , 1995, Bone.

[8]  R. Huiskes,et al.  Mechanical and textural properties of pelvic trabecular bone. , 1993, Journal of biomechanics.

[9]  R. Jaffin,et al.  The excessive loss of Branemark fixtures in type IV bone: a 5-year analysis. , 1991, Journal of periodontology.

[10]  Y C Loo,et al.  Application of finite element method in dental implant research , 2009 .

[11]  Judith Maria Pinheiro Ottoni,et al.  Correlation between placement torque and survival of single-tooth implants. , 2005, The International journal of oral & maxillofacial implants.

[12]  Ulf Lekholm,et al.  Evaluation of patient and implant characteristics as potential prognostic factors for oral implant failures. , 2005, The International journal of oral & maxillofacial implants.

[13]  S. Szmukler‐Moncler,et al.  Timing of loading and effect of micromotion on bone-dental implant interface: review of experimental literature. , 1998, Journal of biomedical materials research.

[14]  Jean Loup Coudert,et al.  Reliability of preoperative planning of an image-guided system for oral implant placement based on 3-dimensional images: an in vivo study. , 2003, The International journal of oral & maxillofacial implants.

[15]  A. Shirazi-Adl,et al.  Friction properties of the interface between porous-surfaced metals and tibial cancellous bone. , 1990, Journal of biomedical materials research.

[16]  M Honl,et al.  Artificial composite bone as a model of human trabecular bone: the implant-bone interface. , 2007, Journal of biomechanics.

[17]  E. Nkenke,et al.  Implant stability and histomorphometry: a correlation study in human cadavers using stepped cylinder implants. , 2003, Clinical oral implants research.

[18]  M. Tschabitscher,et al.  Correlation of insertion torques with bone mineral density from dental quantitative CT in the mandible. , 2003, Clinical oral implants research.

[19]  Yew-Chaye Loo,et al.  Step-wise analysis of the dental implant insertion process using the finite element technique. , 2008, Clinical oral implants research.

[20]  N Meredith,et al.  Quantitative determination of the stability of the implant-tissue interface using resonance frequency analysis. , 1996, Clinical oral implants research.

[21]  E. Baldoni,et al.  Implant micromotion is related to peak insertion torque and bone density. , 2009, Clinical oral implants research.

[22]  L Sennerby,et al.  Surgical determinants of clinical success of osseointegrated oral implants: a review of the literature. , 1998, The International journal of prosthodontics.

[23]  I. Turkyilmaz,et al.  Relations between the bone density values from computerized tomography, and implant stability parameters: a clinical study of 230 regular platform implants. , 2007, Journal of clinical periodontology.

[24]  K. Akca,et al.  Numerical simulation of in vivo intraosseous torsional failure of a hollow-screw oral implant , 2006, Head & face medicine.

[25]  Marco Caversaccio,et al.  A novel computational method for real-time preoperative assessment of primary dental implant stability. , 2005, Clinical oral implants research.

[26]  M. Ueda,et al.  Relationship between insertion torque and removal torque analyzed in fresh temporal bone. , 1991, The International journal of oral & maxillofacial implants.

[27]  L Cristofolini,et al.  Experimental validation of a finite element model of a composite tibia , 2007, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[28]  W Schulte,et al.  The Periotest method. , 1992, International dental journal.

[29]  J. M. Lee,et al.  Observations on the Effect of Movement on Bone Ingrowth into Porous‐Surfaced Implants , 1986, Clinical orthopaedics and related research.

[30]  G. Hounsfield.  Computed Medical Imaging , 1980, Science.

[31]  Ming-Lun Hsu,et al.  The influence of abutment angulation on micromotion level for immediately loaded dental implants: a 3-D finite element analysis. , 2008, The International journal of oral & maxillofacial implants.