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Suggestion of New Methodology for Evaluation of Osseointegration between Implant and Bone based on ${mu}$-CT Images
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  • Suggestion of New Methodology for Evaluation of Osseointegration between Implant and Bone based on ${mu}$-CT Images
  • Suggestion of New Methodology for Evaluation of Osseointegration between Implant and Bone based on ${mu}$-CT Images
저자명
Ko. Chang-Yong,Lim. Do-Hyung,Choi. Byung-Ho,Li. Jingxu,Kim. Han-Sung
간행물명
International journal of precision engineering and manufacturing
권/호정보
2010년|11권 5호|pp.785-790 (6 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Osseointegration has been used as an index for prediction of long-term success of implant. Osseointegration has been routinely evaluated by measuring bone contact ratio on histology based on two-dimensional (2D) sections or images. However, these both methodologies have been less informative analysis of results and have several disadvantages. The aim of this study is to introduce new methodology for evaluation of a degree of osseointegration between bone and implant based on micro computed tomography (${mu}$-CT) images. Specimen was scanned at a voxel resolution of $35;{mu}m$ by ${mu}$-CT. Three-dimensional (3D) models of bone and implant were reconstructed respectively. Bone contact area (BCA) and bone contact area ratio (BCAR) were measured and calculated. Here, osseointegrated BCA between bone and implant surfaces was determined by computing areas of all bone regions existed within $35;{mu}m$ distance from implant surface. Osseointegration of flapless implant surgery was evaluated by new methodology, compared with that of flap implant surgery. BCA and BCAR in flapless implant surgery was significantly bigger than that in flap implant surgery (p<0.05), suggesting that flapless implant surgery was more effective than flap implant surgery consistent with previous studies. In the conclusion, new methodology for evaluation osseointegration between bone and implant based on ${mu}$-CT images was likely to be reliable, useful and more informative analysis of results.