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Diagnostic accuracy of the implant stability quotient in monitoring progressive peri‐implant bone loss: An experimental study in dogs
Objectives To investigate the impact of progressive bone loss in an experimental peri‐implantitis 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 IS...
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Published in: | Clinical oral implants research 2018-10, Vol.29 (10), p.1016-1024 |
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creator | Monje, Alberto Insua, Angel Monje, Florencio Muñoz, Fernando Salvi, Giovanni E. Buser, Daniel Chappuis, Vivianne |
description | Objectives
To investigate the impact of progressive bone loss in an experimental peri‐implantitis 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‐two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature‐induced peri‐implantitis (three timepoints) and at one timepoint following a period of spontaneous progression. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore, the clinical peri‐implant 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‐to‐implant contact (BIC) was assessed from histological samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL‐ISQ values at each measurement timepoint. Pearson's correlation test was applied.
Results
None of the implants failed during the study period. At implant level, a strong negative correlation was found for all timepoints between ISQ and MBL (r = −0.58; p |
doi_str_mv | 10.1111/clr.13368 |
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To investigate the impact of progressive bone loss in an experimental peri‐implantitis 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‐two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature‐induced peri‐implantitis (three timepoints) and at one timepoint following a period of spontaneous progression. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore, the clinical peri‐implant 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‐to‐implant contact (BIC) was assessed from histological samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL‐ISQ values at each measurement timepoint. Pearson's correlation test was applied.
Results
None of the implants failed during the study period. At implant level, a strong negative correlation was found for all timepoints between ISQ and MBL (r = −0.58; p < 0.001). Accordingly, as follow‐up progressed, lower ISQ and higher 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 evaluated after spontaneous chronification of peri‐implantitis (r = 0.34; p = 0.04). Nevertheless, the ISQ values failed to correlate to any of the clinical parameters recorded.
Conclusion
Resonance frequency analysis seems accurate in diagnosing progressive bone loss, as a statistically significant decrease in ISQ was recorded in the course of peri‐implant disease. Nevertheless, the clinical relevance of this observation as a diagnostic tool is debatable, since implant stability remains high.</description><identifier>ISSN: 0905-7161</identifier><identifier>EISSN: 1600-0501</identifier><identifier>DOI: 10.1111/clr.13368</identifier><identifier>PMID: 30267449</identifier><language>eng</language><publisher>Denmark: Wiley Subscription Services, Inc</publisher><subject>Alveolar Bone Loss - diagnosis ; Alveolar Bone Loss - diagnostic imaging ; Alveolar Bone Loss - pathology ; Animals ; Bone loss ; Computed tomography ; Correlation analysis ; Dental Abutments - adverse effects ; Dental Implant-Abutment Design - adverse effects ; Dental Implantation, Endosseous - adverse effects ; Dental implants ; Dental Implants - adverse effects ; Dentistry ; diagnostic resonance frequency analysis ; Diagnostic software ; Diagnostic systems ; Dogs ; Frequency analysis ; implant stability ; Parameters ; Peri-Implantitis - diagnosis ; Peri-Implantitis - etiology ; Peri-Implantitis - pathology ; peri‐implant mucositis ; peri‐implantitis ; Regression analysis ; Regression models ; Reproducibility of Results ; Resonance ; Stability ; Statistical analysis ; Statistical methods ; Statistical significance ; Tomography, X-Ray Computed</subject><ispartof>Clinical oral implants research, 2018-10, Vol.29 (10), p.1016-1024</ispartof><rights>2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>Copyright © 2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4198-2d992d134f87729f869e8e64ada78a9d6ca6106dac71269d35f3fa3219fd21cf3</citedby><cites>FETCH-LOGICAL-c4198-2d992d134f87729f869e8e64ada78a9d6ca6106dac71269d35f3fa3219fd21cf3</cites><orcidid>0000-0003-1227-7587 ; 0000-0001-8292-1927 ; 0000-0001-5523-3192</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30267449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Monje, Alberto</creatorcontrib><creatorcontrib>Insua, Angel</creatorcontrib><creatorcontrib>Monje, Florencio</creatorcontrib><creatorcontrib>Muñoz, Fernando</creatorcontrib><creatorcontrib>Salvi, Giovanni E.</creatorcontrib><creatorcontrib>Buser, Daniel</creatorcontrib><creatorcontrib>Chappuis, Vivianne</creatorcontrib><title>Diagnostic accuracy of the implant stability quotient in monitoring progressive peri‐implant bone loss: An experimental study in dogs</title><title>Clinical oral implants research</title><addtitle>Clin Oral Implants Res</addtitle><description>Objectives
To investigate the impact of progressive bone loss in an experimental peri‐implantitis 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‐two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature‐induced peri‐implantitis (three timepoints) and at one timepoint following a period of spontaneous progression. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore, the clinical peri‐implant 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‐to‐implant contact (BIC) was assessed from histological samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL‐ISQ values at each measurement timepoint. Pearson's correlation test was applied.
Results
None of the implants failed during the study period. At implant level, a strong negative correlation was found for all timepoints between ISQ and MBL (r = −0.58; p < 0.001). Accordingly, as follow‐up progressed, lower ISQ and higher 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 evaluated after spontaneous chronification of peri‐implantitis (r = 0.34; p = 0.04). Nevertheless, the ISQ values failed to correlate to any of the clinical parameters recorded.
Conclusion
Resonance frequency analysis seems accurate in diagnosing progressive bone loss, as a statistically significant decrease in ISQ was recorded in the course of peri‐implant disease. Nevertheless, the clinical relevance of this observation as a diagnostic tool is debatable, since implant stability remains high.</description><subject>Alveolar Bone Loss - diagnosis</subject><subject>Alveolar Bone Loss - diagnostic imaging</subject><subject>Alveolar Bone Loss - pathology</subject><subject>Animals</subject><subject>Bone loss</subject><subject>Computed tomography</subject><subject>Correlation analysis</subject><subject>Dental Abutments - adverse effects</subject><subject>Dental Implant-Abutment Design - adverse effects</subject><subject>Dental Implantation, Endosseous - adverse effects</subject><subject>Dental implants</subject><subject>Dental Implants - adverse effects</subject><subject>Dentistry</subject><subject>diagnostic resonance frequency analysis</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Dogs</subject><subject>Frequency analysis</subject><subject>implant stability</subject><subject>Parameters</subject><subject>Peri-Implantitis - diagnosis</subject><subject>Peri-Implantitis - etiology</subject><subject>Peri-Implantitis - pathology</subject><subject>peri‐implant mucositis</subject><subject>peri‐implantitis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Reproducibility of Results</subject><subject>Resonance</subject><subject>Stability</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical significance</subject><subject>Tomography, X-Ray Computed</subject><issn>0905-7161</issn><issn>1600-0501</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kc1OGzEURq0KRNLAoi-ALLGhiwm-nonH7i4KbUGKVAnBeuT4JziaGQd7Bpgdu277jH2SOg2wqFRvLPkeH31XH0KfgEwhnQtVhynkOeMf0BgYIRmZEThAYyLILCuBwQh9jHFDCGGCiyM0ygllZVGIMfp56eS69bFzCkul-iDVgL3F3b3BrtnWsu1w7OTK1a4b8EPvO2fSk2tx41vX-eDaNd4Gvw4mRvdo8NYE9_vl19vflW8Nrn2MX_C8xeZ5N26SQdZJ2-thZ9J-HY_RoZV1NCev9wTdfft6u7jKlj--Xy_my0wVIHhGtRBUQ15YXpZUWM6E4YYVUsuSS6GZkgwI01KVQJnQ-czmVuYUhNUUlM0n6HzvTZkfehO7qnFRmTqFNb6PFQUomChLThJ69g-68X1oU7pEUSAwY4wn6vOeUiFtGYyttmlDGYYKSLVrp0rtVH_bSezpq7FfNUa_k291JOBiDzy52gz_N1WL5c1e-Qf3XpxB</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Monje, Alberto</creator><creator>Insua, Angel</creator><creator>Monje, Florencio</creator><creator>Muñoz, Fernando</creator><creator>Salvi, Giovanni E.</creator><creator>Buser, Daniel</creator><creator>Chappuis, Vivianne</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1227-7587</orcidid><orcidid>https://orcid.org/0000-0001-8292-1927</orcidid><orcidid>https://orcid.org/0000-0001-5523-3192</orcidid></search><sort><creationdate>201810</creationdate><title>Diagnostic accuracy of the implant stability quotient in monitoring progressive peri‐implant bone loss: An experimental study in dogs</title><author>Monje, Alberto ; Insua, Angel ; Monje, Florencio ; Muñoz, Fernando ; Salvi, Giovanni E. ; Buser, Daniel ; Chappuis, Vivianne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4198-2d992d134f87729f869e8e64ada78a9d6ca6106dac71269d35f3fa3219fd21cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alveolar Bone Loss - diagnosis</topic><topic>Alveolar Bone Loss - diagnostic imaging</topic><topic>Alveolar Bone Loss - pathology</topic><topic>Animals</topic><topic>Bone loss</topic><topic>Computed tomography</topic><topic>Correlation analysis</topic><topic>Dental Abutments - adverse effects</topic><topic>Dental Implant-Abutment Design - adverse effects</topic><topic>Dental Implantation, Endosseous - adverse effects</topic><topic>Dental implants</topic><topic>Dental Implants - adverse effects</topic><topic>Dentistry</topic><topic>diagnostic resonance frequency analysis</topic><topic>Diagnostic software</topic><topic>Diagnostic systems</topic><topic>Dogs</topic><topic>Frequency analysis</topic><topic>implant stability</topic><topic>Parameters</topic><topic>Peri-Implantitis - diagnosis</topic><topic>Peri-Implantitis - etiology</topic><topic>Peri-Implantitis - pathology</topic><topic>peri‐implant mucositis</topic><topic>peri‐implantitis</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Reproducibility of Results</topic><topic>Resonance</topic><topic>Stability</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical significance</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monje, Alberto</creatorcontrib><creatorcontrib>Insua, Angel</creatorcontrib><creatorcontrib>Monje, Florencio</creatorcontrib><creatorcontrib>Muñoz, Fernando</creatorcontrib><creatorcontrib>Salvi, Giovanni E.</creatorcontrib><creatorcontrib>Buser, Daniel</creatorcontrib><creatorcontrib>Chappuis, Vivianne</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical oral implants research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monje, Alberto</au><au>Insua, Angel</au><au>Monje, Florencio</au><au>Muñoz, Fernando</au><au>Salvi, Giovanni E.</au><au>Buser, Daniel</au><au>Chappuis, Vivianne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic accuracy of the implant stability quotient in monitoring progressive peri‐implant bone loss: An experimental study in dogs</atitle><jtitle>Clinical oral implants research</jtitle><addtitle>Clin Oral Implants Res</addtitle><date>2018-10</date><risdate>2018</risdate><volume>29</volume><issue>10</issue><spage>1016</spage><epage>1024</epage><pages>1016-1024</pages><issn>0905-7161</issn><eissn>1600-0501</eissn><abstract>Objectives
To investigate the impact of progressive bone loss in an experimental peri‐implantitis 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‐two implants were placed in 12 Beagle dogs. Of these, 36 implants in six dogs were assessed during ligature‐induced peri‐implantitis (three timepoints) and at one timepoint following a period of spontaneous progression. The ISQ was recorded using resonance frequency analysis (RFA). Furthermore, the clinical peri‐implant 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‐to‐implant contact (BIC) was assessed from histological samples. A linear regression model was estimated by generalized estimation equations (GEEs) in order to study the MBL‐ISQ values at each measurement timepoint. Pearson's correlation test was applied.
Results
None of the implants failed during the study period. At implant level, a strong negative correlation was found for all timepoints between ISQ and MBL (r = −0.58; p < 0.001). Accordingly, as follow‐up progressed, lower ISQ and higher 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 evaluated after spontaneous chronification of peri‐implantitis (r = 0.34; p = 0.04). Nevertheless, the ISQ values failed to correlate to any of the clinical parameters recorded.
Conclusion
Resonance frequency analysis seems accurate in diagnosing progressive bone loss, as a statistically significant decrease in ISQ was recorded in the course of peri‐implant disease. Nevertheless, the clinical relevance of this observation as a diagnostic tool is debatable, since implant stability remains high.</abstract><cop>Denmark</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30267449</pmid><doi>10.1111/clr.13368</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1227-7587</orcidid><orcidid>https://orcid.org/0000-0001-8292-1927</orcidid><orcidid>https://orcid.org/0000-0001-5523-3192</orcidid></addata></record> |
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subjects | Alveolar Bone Loss - diagnosis Alveolar Bone Loss - diagnostic imaging Alveolar Bone Loss - pathology Animals Bone loss Computed tomography Correlation analysis Dental Abutments - adverse effects Dental Implant-Abutment Design - adverse effects Dental Implantation, Endosseous - adverse effects Dental implants Dental Implants - adverse effects Dentistry diagnostic resonance frequency analysis Diagnostic software Diagnostic systems Dogs Frequency analysis implant stability Parameters Peri-Implantitis - diagnosis Peri-Implantitis - etiology Peri-Implantitis - pathology peri‐implant mucositis peri‐implantitis Regression analysis Regression models Reproducibility of Results Resonance Stability Statistical analysis Statistical methods Statistical significance Tomography, X-Ray Computed |
title | Diagnostic accuracy of the implant stability quotient in monitoring progressive peri‐implant bone loss: An experimental study in dogs |
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