植牙術後骨整合暨骨缺損之數值模擬研究

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姓名

謝秉勳(Bin-xun Hsieh) 查詢紙本館藏

畢業系所

生物醫學工程研究所

論文名稱

植牙術後骨整合暨骨缺損之數值模擬研究
(Numerical Characterization of Osseointegration and Bone Defects after Dental Implantation)

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摘要(中)

本研究主要探討在植牙術後骨整合期間，牙科植體與周圍骨組織因骨質差異及由於各類骨缺損產生時，其相應的結構共振頻率變化。研究分兩部分，第一部分以多種人造骨塊模擬臨床上不同植牙部位下顎骨 (包含齒槽骨高度和緻密骨厚度)，並透過非接觸式聲能激振-位移響應實驗，量測植體與骨塊結構的共振頻率、並與有限元素分析結果互相驗證，同時確認數值分析模型的適當性；第二部分以電腦斷層掃描影像建立人類下顎骨有限元素模型，藉此探討植牙術後植體周圍不同骨組織的材料係數及產生多種骨缺損時整體結構的共振頻率。
研究顯示，植在不同緻密骨厚度及垂直高度的牙科植體，結構的共振頻率範圍為6771±4.5到7078±17.3 Hz (近遠心側)、5230±6.3到6119±18.0 Hz (頰舌側)；故使用結構共振頻率判斷植牙術後復原情形不需針對不同植牙部位做診斷指標的改變。此外，模擬結果顯示，在初始穩固度期間，結構共振頻率會因骨整合明顯的上升；在骨整合形成的後期穩固度期間，結構共振頻率會逐漸上升並趨近穩態值；而骨缺損發生時，不只是結構共振頻率會明顯降低，當骨缺損間隙大於3 mm時，其結構共振頻率將維持不變。從研究指出，從植體結構共振頻率的變化可以協助臨床牙醫師辨識骨整合概況，或是骨缺損程度，以便採取後續措施提升植牙成功率。

摘要(英)

This study shows how to correlate the material properties of interfacial tissue and the severities of closed bone defects to their corresponding frequencies of dental implantation structure during the osseointegration. The study consists of two parts. First, various artificial bone block models were used to mimic different locations of implantation (consists of different vertical heights and cortical thickness) in clinical, and the structural resonance frequencies (RFs) were measured through acoustic excitation and response displacement pickup. Obtained results were compared with their corresponding, finite element analysis (FEA). Secondly, the human mandible model created using commercial software〖 Simpleware〗^®, which was constructed base on a set of in-vivo dental Computerized Tomography (CT) images of human; in order to investigate the bone tissue around the implant and various bone defects corresponding to their structural RF after implantation.
The results show that the structural RFs of the three type cortical thickness for all vise fixation heights in mesial-distal (MD) direction ranges from 6771±4.5 to 7078±17.3 Hz, likewise, in the buccal-lingual (BL) direction ranges from 5230±6.3 to 6119±18.0 Hz. Therefore we can use the same index to evaluate the healing condition in different locations of dental implantation. In addition, the FEA results show that the stiffness of interfacial tissue which affects the RF of implant significantly in the primary stability stage. While tissue grows harder with time, the RF of implant rises gradually to steady level. Furthermore, the structural RF decreases with various bone defects. It’s worth noting that the structural RFs are not changed when width defect more than 3 mm. The measuring results show that the RF differences can be identified and applied to evaluate bone defects, as well as osseointegration. The proposed technique is a promising approach to aid dentists in assessing dental implant stability after surgery.

關鍵字(中)

★ 牙科植體
★ 骨缺損
★ 有限元素法
★ 共振頻率分析
★ 骨整合

關鍵字(英)

★ dental implant
★ bone defects
★ finite element method
★ resonance frequency analysis
★ osseointegration

論文目次

摘要 I
Abstract II
誌謝 III
Contents IV
List of Figures VI
List of Tables VIII
Chapter 1 Introduction 1
1.1 Research Background and Motivation 1
1.2 Literature Review 2
1.3 Framework 6
Chapter 2 Theoretical Basis 7
2.1 Structural Dynamic Characteristics 7
2.2 Model Analysis 8
2.3 Harmonic Response Analysis 10
2.4 Finite Element Analysis 15
Chapter 3 Synthetic Analysis and Validation on the Structural Resonance of Various
Alveolar Bone with a Dental Implant 17
3.1 Experiment and Simulation of Artificial Bone Block Models 17
3.1.1 Experimental Set-up 18
3.1.2 Numerical Analysis 20
3.2 Results and Discussion 23
Chapter 4 Characterization of Osseointegration after Dental Implantation 32
4.1 Design of Osseointegration Models 32
4.2 Numerical Analysis of Osseointegration 36
4.3 Discussion 40
Chapter 5 Characterization of Bone Defects after Dental Implantation 42
5.1 Design of Bone Defects Models 42
5.2 Numerical Analysis of Bone Defects 43
5.2.1 Effects of Vertical Bone Defects 43
5.2.2 Effects of Horizontal Bone Defects (2 mm Depth Defects) 46
5.2.3 Effects of Horizontal Bone Defects (3 mm Depth Defects) 48
5.3 Discussion 50
5.4 A Better Index for Dentists 51
Chapter 6 Conclusions and Future Work 55
6.1 Conclusions 55
6.2 Future Work 56
Reference 57
Appendix A (Experimental results of bone block models) 62
Appendix B (Simulation results of bone block models) 68
Appendix C (Simulation results in osseointegration) 74
Appendix D (Simulation results in various bone defects) 83

參考文獻

[1] Brånemark P-I, Hansson B., Adell R., Breine U., Lindstròm J., Hallèn O., Ohman A., “Osseointegrated Implants in the Treatment of the Edentulous Jaw. Experience From a 10-Year Period,“ Scandinavian Journal of Plastic and Reconstructive Surgery. Supplementum, Vol. 16, pp. 1-32(1977).
[2] Huang H.M., Pan L.C., Lee S.Y., Chiu C.L., Fan K.H., Ho K.N., “Assessing the Implant/Bone Interface by Using Natural Frequency Analysis,” Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, Vol. 90, pp. 285-91 (2000).
[3] Meridith N., “Assessment of Implant Stability as a Prognostic Determinant,” International Journal of Prosthodontics, Vol. 11, pp. 491-501 (1988).
[4] Atsumi M, Park SH, Wang HL., “Method used to assess implant stability: current status,” Internet Journal of Oral Maxillofacial Implants, Vol. 22, pp. 743-754 (2007).
[5] Brånemark P-I., “Introduction to Osseointegration,” Tissue Integrated Prostheses. Quintessence Publishing, pp. 11 (1985).
[6] Glauser R, Sennerby L, Meredith N, Rèe A, Lundqen A, Gottlow J, Hämmerle C., “Resonance Frequency Analysis of Implants Subjected to Immediate or Early Functional Occlusal Loading,” Clinical Oral Implants Research. Vol. I5, pp. 428-434 (2004).
[7] Friberg B, Sennerby L, Roos J, Lekholm U., “Identification of Bone Quality in Conjunction with Insertion of Titanium Implants. A Pilot Study in Jaw Autopsy Specimens,” Clinical Oral Implants Research. Vol. 6,pp. 216-219 (1995).
[8] Alberktsson T, Jacobsson M., “Bone-Metal Interface in Osseointegration,” Journal of Prosthetic Dentistry, Vol. 57, pp. 597-607 (1987).
[9] Wong, S.P. & Saha, S. “The Assessment of in vivo Bone Condition in Humans by Impact Response Measurement,” Journal of Biomechanics, Vol. 16, pp. 849-856 (1983).
[10] Kim D.S., Lee W.J., Choi S.C., Lee S.S., Heo M.S., Huh K.H., Kim T.I., Lee I.B., Han J.H., Yi W.J., “A New Method for the Evaluation of Dental Implant Stability Using an inductive Sensor,” Medical Engineering & Physics, Vol. 34, pp. 1247-1252 (2012).
[11] Huang H.M., Chiu C.L., Yeh L.C., Lin L.H., Lee S.Y., “Early Detection of Implant Healing Process Using Resonance Frequency Analysis,” Clinical Oral Implants Research. Vol. I4, pp. 437-443 (2003).
[12] Huang H.M., Lee S.Y., Yeh C.Y., Lin C.T., “Resonance Frequency Assessment of Dental Implant Stability with Various Bone Qualities: a Numerical Approach,” Clinical Oral Implants Research. Vol. I3, pp. 65-74 (2002).
[13] Meridith N., Alleyne D., Cawley P., “Quantitative Determination of the Stability of the Implant-Tissue Interface Using Resonance Frequency Analysis,” Clinical Oral Implants Research. Vol. 7, pp. 261-267 (1996).
[14] Gahleitner A., Monov G., “Assessment of Bone Quality: Techniques, Procedures, and Limitations. Implants in Qualitatively Compromised Bone,” Chicago, pp. 55-66 (2004).
[15] Chang W.J., Lee S.Y.,Wu C.C., Lin C.T., Abiko Y., Yamamichi N., Huang H.M., “A Newly Designed Resonance Frequency Analysis Device for Dental Implant Stability Detection,” Dental Materials. Vol. 26, pp. 665-671(2007).
[16] Hayashi M., Kobayashi C., Ogata H., Yamaoka M., Ogiso B., “A No-Contact Vibration Device for Measuring Implant Stability,” Clinical Oral Implants Research. Vol. 21, pp. 931-936 (2010).
[17] Zhuang H.B., Tu W.S., Pan M.C., Wu J.W., Chen C.S., Lee S.Y., Yang Y.C., “Noncontact Vibro-Acoustic Detection Technique for Dental Osseointegration Examination,” Journal of Medical and Biological Engineering. Vol. 33, pp. 35-44 (2013).
[18] Li W., Lin D., Chaiy R., Zhou S., Michael S., Li Q., “Finite Element Based Bone Remodeling and Resonance Frequency Analysis for Osserintegration,” Finite Elements in Analysis and Design. Vol. 47, pp. 898-905 (2011).
[19] Wang S., Liu G.R., Hoang K.C., Guo Y., “Identifiable Range of Osseointegration of Dental Implants Through Resonance Frequency Analysis,” Medical Engineering & Physics. Vol. 32, pp. 1094-1096 (2010).
[20] Turkyilmaz I., Sennerby L., Yilmaz B., Bilecenoglu B., Ozbek E.N., “Imfluence of Defect Depth on Resonance Frequency Analysis and Insertion Torque Values for implants Placed in Fresh Extraction Sockets: A Human Cadaver Study,” Clinical Oral Implants Research. Vol. 11, pp. 52-58 (2009).
[21] Lacroix D., Prendergast P.J., Li G., Marsh D., “ Biomechanical Model to Simulate Tissue Differentiation and Bone Regeneration: Application to Fracture Healing.” Medical & Biological Engineering & Computing. Vol. 40,pp. 14-21 (2002).
[22] Leonardo V.B., “A Proposal for Classification of Bony defects Adjacent to Dental Implants,” International Journal of Periodontics and Restorative Dentistry, Vol. 24, pp. 264-271 (2004).
[23] Carlo T., Stefano P.B., “Clinical Classification of Bone Defects Concerning the Placement of Dental Implants,” International Journal of Periodontics and Restorative Dentistry. Vol. 23, pp. 147-155 (2003).
[24] He, J. and Fu, Z. F., Modal Analysis, Butterworth-Heinemann, Oxford. (2001).
[25] Miyamoto, I., Tsuboi, Y., Wada, E., Suwa, H., Iizuka, T., “Inﬂuence of Cortical Bone Thickness and Implant Length on Implant Stability at the Time of Surgery,” Clinical, Prospective, Biomechanical, and Imaging Study. Vol. 37, pp. 776–780 (2005).
[26] Kaya G.S., Aslan M., Ömezli M.M., Dayı E., “ Some Morphological Features Related to Mandibular Third Molar Impaction,” Journal of Clinical and Experimental Dentistry. Vol. 2, pp. 50-55 (2010).
[27] Claes L.E., Heigele C.A., “Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing,” Journal of Biomechanics. Vol. 32, pp.255-266 (1999).
[28] Khin Z., Liu G.R., Deng B., Tan K.B.C., “Rapid Identification of Elastic Modulus of the Interface Tissue on Dental Implants Surfaces Using Reduced-Basis Method and A Neural Network,” Journal of Biomechanics. Vol. 42, pp. 634-641 (2009).

指導教授

潘敏俊(Min-chun Pan)

審核日期

2013-7-24

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