{"id":3997,"date":"2020-11-30T16:34:57","date_gmt":"2020-11-30T15:34:57","guid":{"rendered":"https:\/\/www.ticareimplants.com\/?post_type=estudios-medicos&#038;p=3997"},"modified":"2020-11-30T16:34:57","modified_gmt":"2020-11-30T15:34:57","slug":"diagnostic-accuracy-of-the-implant-stability-quotient-in-monitoring-progressive-peri-implant-bone-loss-an-experimental-study-in-dogs","status":"publish","type":"estudios-medicos","link":"https:\/\/www.ticareimplants.com\/en\/medical-publications\/diagnostic-accuracy-of-the-implant-stability-quotient-in-monitoring-progressive-peri-implant-bone-loss-an-experimental-study-in-dogs\/","title":{"rendered":"Diagnostic accuracy of the implant stability quotient in monitoring progressive peri-implant bone loss: An experimental study in dogs"},"content":{"rendered":"<p><strong>OBJECTIVE<\/strong><\/p>\n<p>To investigate the impact of progressive bone loss in an experimental peri\u2010implantitis model in the dog upon the implant stability quotient (ISQ) measured in the course of induced and spontaneous conditions of disease, and to evaluate the association between the clinical parameters and ISQ.<\/p>\n<p><strong>MATERIALS AND METHODS<\/strong><\/p>\n<p>Seventy\u2010two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature\u2010induced peri\u2010implantitis (three timepoints) and at one timepoint following a period of spontaneous progres\u2010 sion. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore,\u00a0 the clinical peri\u2010implant parameters were registered at four sites per implant at each timepoint. Marginal bone loss (MBL) was determined using computed tomography at four sites per implant and bone\u2010to\u2010implant contact (BIC) was assessed from histologi\u2010 cal samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL\u2010ISQ values at each measurement time\u2010 point. Pearson\u2019s correlation test was applied.<\/p>\n<p><strong>RESULTS<\/strong><\/p>\n<p>None of the implants failed during the study period. At implant\u00a0 level,\u00a0 a strong\u00a0 negative\u00a0 correlation\u00a0 was\u00a0 found\u00a0 for\u00a0 all\u00a0 timepoints\u00a0 between\u00a0 ISQ\u00a0 and\u00a0 MBL\u00a0\u00a0\u00a0 (<em>r <\/em>= \u22120.58; <em>p <\/em>&lt; 0.001). Accordingly, as follow\u2010up progressed, lower\u00a0 ISQ\u00a0 and\u00a0 higher\u00a0 MBL values were observed. A prediction of MBL depending on the ISQ values and timepoints showed a decrease in one ISQ unit to be related to ~1 mm of MBL. Likewise, a statistically significant correlation was found between BIC and ISQ evalu\u2010 ated after spontaneous chronification of peri\u2010implantitis (<em>r <\/em>= 0.34; <em>p <\/em>= 0.04). Nevertheless, the ISQ values failed to correlate to any of the clinical parameters recorded.<\/p>\n<p><strong>CONCLUSION<\/strong><\/p>\n<p>Resonance frequency analysis seems accurate in diagnosing progressive bone loss, as a statistically significant decrease in ISQ was recorded in the course of peri\u2010implant disease. Nevertheless, the clinical relevance of this observation as a di\u2010 agnostic tool is debatable, since implant stability remains high.<\/p>\n","protected":false},"parent":0,"template":"","medio-publicacion":[],"tematica-publicacion":[],"class_list":["post-3997","estudios-medicos","type-estudios-medicos","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Diagnostic accuracy of the implant stability quotient in monitoring progressive peri-implant bone loss: An experimental study in dogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ticareimplants.com\/en\/medical-publications\/diagnostic-accuracy-of-the-implant-stability-quotient-in-monitoring-progressive-peri-implant-bone-loss-an-experimental-study-in-dogs\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Diagnostic accuracy of the implant stability quotient in monitoring progressive peri-implant bone loss: An experimental study in dogs\" \/>\n<meta property=\"og:description\" content=\"OBJECTIVE To investigate the impact of progressive bone loss in an experimental peri\u2010implantitis model in the dog upon the implant stability quotient (ISQ) measured in the course of induced and spontaneous conditions of disease, and to evaluate the association between the clinical parameters and ISQ. MATERIALS AND METHODS Seventy\u2010two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature\u2010induced peri\u2010implantitis (three timepoints) and at one timepoint following a period of spontaneous progres\u2010 sion. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore,\u00a0 the clinical peri\u2010implant parameters were registered at four sites per implant at each timepoint. Marginal bone loss (MBL) was determined using computed tomography at four sites per implant and bone\u2010to\u2010implant contact (BIC) was assessed from histologi\u2010 cal samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL\u2010ISQ values at each measurement time\u2010 point. 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MATERIALS AND METHODS Seventy\u2010two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature\u2010induced peri\u2010implantitis (three timepoints) and at one timepoint following a period of spontaneous progres\u2010 sion. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore,\u00a0 the clinical peri\u2010implant parameters were registered at four sites per implant at each timepoint. Marginal bone loss (MBL) was determined using computed tomography at four sites per implant and bone\u2010to\u2010implant contact (BIC) was assessed from histologi\u2010 cal samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL\u2010ISQ values at each measurement time\u2010 point. 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