Impacts of 3D bone-to-implant contact and implant diameter on primary implant stability of dental implant

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Title:	Impacts of 3D bone-to-implant contact and implant diameter on primary implant stability of dental implant
Authors:	Huang, 許瑞廷；Jui-Ting Hsu；Yen-Wen Shen；Yen-Wen Shen；Chih-Wei Kuo；Chih-Wei Kuo；Ruei-Teng Wa；Ruei-Teng Wang；Lih-Jyh Fuh；Lih-Jyh Fuh；黃恆立；Heng Li
Contributors:	生物資訊與醫學工程學系
Date:	2017
Issue Date:	2017-11-03 06:06:46 (UTC+0)
Abstract:	Background/Purpose This study investigated the effects of three three-dimensional (3D) bone-to-implant contact (BIC) parameters—potential BIC area (pBICA), BIC area (BICA), and 3D BIC percentage (3D BIC%; defined as BICA divided by pBICA)—in relation to the implant diameter on primary implant stability, as well as their correlations were also evaluated. Methods Dental implants with diameters of 3.75, 4, 5, and 6 mm and artificial bone specimens were scanned by microcomputed tomography to construct 3D models for calculating pBICA, BICA, and 3D BIC%. Indexes of the primary implant stability including the insertion torque value (ITV), Periotest value (PTV), and implant stability quotient (ISQ) were measured after implants with various diameters were placed into bone specimens. The Kruskal–Wallis test, Wilcoxon rank-sum test with Bonferroni adjustment, and Spearman correlations were all performed as statistical and correlation analyses. Results The implant diameter significantly influenced pBICA and BICA, but not 3D BIC%. ITV and PTV were more sensitive to implant diameter than was ISQ. The coefficients of determination were high (>0.92) for the correlations between pBICA (or BICA) and indexes of the primary implant stability. Conclusion This study revealed how the implant diameter and the three-dimensional (3D) BIC influence the primary stabilities of dental implant. ITV and PTV were more sensitively influenced by the implant diameter than ISQ. The pBICA and BICA seem to be more important than 3D BIC % for using wider implant in treatment plan, since those two parameters are highly predictive of variations in the primary stability of dental implant.
Relation:	JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION
Appears in Collections:	[Department of Biomedical informatics ] Journal Article

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