Correlation of cone beam CT-derived bone density parameters with primary implant stability assessed by peak insertion torque and periotest in the maxilla
Primary implant stability is crucial to osseointegration. The aim of this study was to assess correlation of preoperative radiologic parameters with intraoperatively obtained biomechanical tests in the maxilla. A total of 259 implants were inserted in the maxilla of 99 patients. Cone-beam computed t...
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Veröffentlicht in: | Journal of cranio-maxillo-facial surgery 2019-03, Vol.47 (3), p.461-467 |
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description | Primary implant stability is crucial to osseointegration. The aim of this study was to assess correlation of preoperative radiologic parameters with intraoperatively obtained biomechanical tests in the maxilla.
A total of 259 implants were inserted in the maxilla of 99 patients. Cone-beam computed tomography (CBCT)-derived Hounsfield units (HU), voxel grey values and computed tomography mental index (CTMI) performed preoperatively were correlated with insertion torque and Periotest (obtained intraoperatively and 12 weeks later) to assess their prognostic value for primary implant stability.
Voxel grey values and insertion torque showed a low correlation (r = 0.329, p = 1.055×10−7 ). Likewise, a low correlation was found between HU measured preoperatively and insertion torque as well as intraoperative Periotest values (r = 0.297, p = 4×10−6 and r = − 0.234, p = 4.35×10−4, respectively). A moderate correlation could, however, be assessed between insertion torque and intraoperative as well as Periotest values 12 weeks later. (r = −0.555, p = 1.022×10−20 and −0.465. p = 1.150×10−13). On contrast, a high correlation was observed between the voxel grey values of CBCT and related HU (r = 0.710, p = 6.486×10−37 ) so that a conversion from grey values into HU could be suggested. According to regression analysis, an intraoperative negative Periotest value could be expected at an insertion torque of 40 N/cm upwards.
CBCT-based bone density parameters correlate with each other and allow conversion of grey scales into HU preoperatively. Both insertion torque and Periotest showed a significant correlation which enables regression analysis to predict implant stability for related insertion torque. On contrast, for HU the distribution curves do not allow a reliable assignment into certain Periotest values. |
doi_str_mv | 10.1016/j.jcms.2019.01.002 |
format | Article |
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A total of 259 implants were inserted in the maxilla of 99 patients. Cone-beam computed tomography (CBCT)-derived Hounsfield units (HU), voxel grey values and computed tomography mental index (CTMI) performed preoperatively were correlated with insertion torque and Periotest (obtained intraoperatively and 12 weeks later) to assess their prognostic value for primary implant stability.
Voxel grey values and insertion torque showed a low correlation (r = 0.329, p = 1.055×10−7 ). Likewise, a low correlation was found between HU measured preoperatively and insertion torque as well as intraoperative Periotest values (r = 0.297, p = 4×10−6 and r = − 0.234, p = 4.35×10−4, respectively). A moderate correlation could, however, be assessed between insertion torque and intraoperative as well as Periotest values 12 weeks later. (r = −0.555, p = 1.022×10−20 and −0.465. p = 1.150×10−13). On contrast, a high correlation was observed between the voxel grey values of CBCT and related HU (r = 0.710, p = 6.486×10−37 ) so that a conversion from grey values into HU could be suggested. According to regression analysis, an intraoperative negative Periotest value could be expected at an insertion torque of 40 N/cm upwards.
CBCT-based bone density parameters correlate with each other and allow conversion of grey scales into HU preoperatively. Both insertion torque and Periotest showed a significant correlation which enables regression analysis to predict implant stability for related insertion torque. On contrast, for HU the distribution curves do not allow a reliable assignment into certain Periotest values.</description><identifier>ISSN: 1010-5182</identifier><identifier>EISSN: 1878-4119</identifier><identifier>DOI: 10.1016/j.jcms.2019.01.002</identifier><identifier>PMID: 30683621</identifier><language>eng</language><publisher>Scotland: Elsevier Ltd</publisher><subject>Adult ; Aged ; Bone Density ; Bone mineral density ; Cone beam CT ; Cone-Beam Computed Tomography ; Dental Implantation, Endosseous - methods ; Dental Implants ; Dental Prosthesis Design ; Dental Prosthesis Retention ; Humans ; Insertion torque ; Mandible - diagnostic imaging ; Maxilla ; Maxilla - diagnostic imaging ; Maxilla - physiology ; Maxilla - surgery ; Middle Aged ; Osseointegration ; Resonance frequency analysis ; Torque</subject><ispartof>Journal of cranio-maxillo-facial surgery, 2019-03, Vol.47 (3), p.461-467</ispartof><rights>2019 European Association for Cranio-Maxillo-Facial Surgery</rights><rights>Copyright © 2019 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-bb48fcdd3e9560f5c5884f19593dfedeed03245e98d32c43bf2e03bd2a5bab173</citedby><cites>FETCH-LOGICAL-c356t-bb48fcdd3e9560f5c5884f19593dfedeed03245e98d32c43bf2e03bd2a5bab173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcms.2019.01.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30683621$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hakim, Samer G.</creatorcontrib><creatorcontrib>Glanz, Julia</creatorcontrib><creatorcontrib>Ofer, Markus</creatorcontrib><creatorcontrib>Steller, Daniel</creatorcontrib><creatorcontrib>Sieg, Peter</creatorcontrib><title>Correlation of cone beam CT-derived bone density parameters with primary implant stability assessed by peak insertion torque and periotest in the maxilla</title><title>Journal of cranio-maxillo-facial surgery</title><addtitle>J Craniomaxillofac Surg</addtitle><description>Primary implant stability is crucial to osseointegration. The aim of this study was to assess correlation of preoperative radiologic parameters with intraoperatively obtained biomechanical tests in the maxilla.
A total of 259 implants were inserted in the maxilla of 99 patients. Cone-beam computed tomography (CBCT)-derived Hounsfield units (HU), voxel grey values and computed tomography mental index (CTMI) performed preoperatively were correlated with insertion torque and Periotest (obtained intraoperatively and 12 weeks later) to assess their prognostic value for primary implant stability.
Voxel grey values and insertion torque showed a low correlation (r = 0.329, p = 1.055×10−7 ). Likewise, a low correlation was found between HU measured preoperatively and insertion torque as well as intraoperative Periotest values (r = 0.297, p = 4×10−6 and r = − 0.234, p = 4.35×10−4, respectively). A moderate correlation could, however, be assessed between insertion torque and intraoperative as well as Periotest values 12 weeks later. (r = −0.555, p = 1.022×10−20 and −0.465. p = 1.150×10−13). On contrast, a high correlation was observed between the voxel grey values of CBCT and related HU (r = 0.710, p = 6.486×10−37 ) so that a conversion from grey values into HU could be suggested. According to regression analysis, an intraoperative negative Periotest value could be expected at an insertion torque of 40 N/cm upwards.
CBCT-based bone density parameters correlate with each other and allow conversion of grey scales into HU preoperatively. Both insertion torque and Periotest showed a significant correlation which enables regression analysis to predict implant stability for related insertion torque. On contrast, for HU the distribution curves do not allow a reliable assignment into certain Periotest values.</description><subject>Adult</subject><subject>Aged</subject><subject>Bone Density</subject><subject>Bone mineral density</subject><subject>Cone beam CT</subject><subject>Cone-Beam Computed Tomography</subject><subject>Dental Implantation, Endosseous - methods</subject><subject>Dental Implants</subject><subject>Dental Prosthesis Design</subject><subject>Dental Prosthesis Retention</subject><subject>Humans</subject><subject>Insertion torque</subject><subject>Mandible - diagnostic imaging</subject><subject>Maxilla</subject><subject>Maxilla - diagnostic imaging</subject><subject>Maxilla - physiology</subject><subject>Maxilla - surgery</subject><subject>Middle Aged</subject><subject>Osseointegration</subject><subject>Resonance frequency analysis</subject><subject>Torque</subject><issn>1010-5182</issn><issn>1878-4119</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctuFDEQRS1ERF78AAvkJZtuyna7xy2xQSNeUqRskrXlR7Xiobs92J6QfAp_i5sZWCJZsuW691aVDiFvGLQMWP9-1-7cnFsObGiBtQD8BblgaqOajrHhZX0Dg0Yyxc_JZc47AOhBDa_IuYBeiZ6zC_JrG1PCyZQQFxpH6uKC1KKZ6fau8ZjCI3pq10-PSw7lme5NMjMWTJn-DOWB7lOYTXqmYd5PZik0F2PDtCpNzlhP9VcXmu80LBnTn04lph8HpGbxtZJCLJhLLdPygHQ2T2GazDU5G82U8fXpviL3nz_dbb82N7dfvm0_3jROyL401nZqdN4LHGQPo3RSqW5kgxyEH9EjehC8kzgoL7jrhB05grCeG2mNZRtxRd4dc_cp1ply0XPIDusEC8ZD1pxthk7ARooq5UepSzHnhKM-La8Z6BWJ3ukViV6RaGC6Iqmmt6f8g53R_7P8ZVAFH44CrFs-Bkw6u4CLQx8SuqJ9DP_L_w10vKGA</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Hakim, Samer G.</creator><creator>Glanz, Julia</creator><creator>Ofer, Markus</creator><creator>Steller, Daniel</creator><creator>Sieg, Peter</creator><general>Elsevier Ltd</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>7X8</scope></search><sort><creationdate>201903</creationdate><title>Correlation of cone beam CT-derived bone density parameters with primary implant stability assessed by peak insertion torque and periotest in the maxilla</title><author>Hakim, Samer G. ; Glanz, Julia ; Ofer, Markus ; Steller, Daniel ; Sieg, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-bb48fcdd3e9560f5c5884f19593dfedeed03245e98d32c43bf2e03bd2a5bab173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Bone Density</topic><topic>Bone mineral density</topic><topic>Cone beam CT</topic><topic>Cone-Beam Computed Tomography</topic><topic>Dental Implantation, Endosseous - methods</topic><topic>Dental Implants</topic><topic>Dental Prosthesis Design</topic><topic>Dental Prosthesis Retention</topic><topic>Humans</topic><topic>Insertion torque</topic><topic>Mandible - diagnostic imaging</topic><topic>Maxilla</topic><topic>Maxilla - diagnostic imaging</topic><topic>Maxilla - physiology</topic><topic>Maxilla - surgery</topic><topic>Middle Aged</topic><topic>Osseointegration</topic><topic>Resonance frequency analysis</topic><topic>Torque</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hakim, Samer G.</creatorcontrib><creatorcontrib>Glanz, Julia</creatorcontrib><creatorcontrib>Ofer, Markus</creatorcontrib><creatorcontrib>Steller, Daniel</creatorcontrib><creatorcontrib>Sieg, Peter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cranio-maxillo-facial surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hakim, Samer G.</au><au>Glanz, Julia</au><au>Ofer, Markus</au><au>Steller, Daniel</au><au>Sieg, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation of cone beam CT-derived bone density parameters with primary implant stability assessed by peak insertion torque and periotest in the maxilla</atitle><jtitle>Journal of cranio-maxillo-facial surgery</jtitle><addtitle>J Craniomaxillofac Surg</addtitle><date>2019-03</date><risdate>2019</risdate><volume>47</volume><issue>3</issue><spage>461</spage><epage>467</epage><pages>461-467</pages><issn>1010-5182</issn><eissn>1878-4119</eissn><abstract>Primary implant stability is crucial to osseointegration. The aim of this study was to assess correlation of preoperative radiologic parameters with intraoperatively obtained biomechanical tests in the maxilla.
A total of 259 implants were inserted in the maxilla of 99 patients. Cone-beam computed tomography (CBCT)-derived Hounsfield units (HU), voxel grey values and computed tomography mental index (CTMI) performed preoperatively were correlated with insertion torque and Periotest (obtained intraoperatively and 12 weeks later) to assess their prognostic value for primary implant stability.
Voxel grey values and insertion torque showed a low correlation (r = 0.329, p = 1.055×10−7 ). Likewise, a low correlation was found between HU measured preoperatively and insertion torque as well as intraoperative Periotest values (r = 0.297, p = 4×10−6 and r = − 0.234, p = 4.35×10−4, respectively). A moderate correlation could, however, be assessed between insertion torque and intraoperative as well as Periotest values 12 weeks later. (r = −0.555, p = 1.022×10−20 and −0.465. p = 1.150×10−13). On contrast, a high correlation was observed between the voxel grey values of CBCT and related HU (r = 0.710, p = 6.486×10−37 ) so that a conversion from grey values into HU could be suggested. According to regression analysis, an intraoperative negative Periotest value could be expected at an insertion torque of 40 N/cm upwards.
CBCT-based bone density parameters correlate with each other and allow conversion of grey scales into HU preoperatively. Both insertion torque and Periotest showed a significant correlation which enables regression analysis to predict implant stability for related insertion torque. On contrast, for HU the distribution curves do not allow a reliable assignment into certain Periotest values.</abstract><cop>Scotland</cop><pub>Elsevier Ltd</pub><pmid>30683621</pmid><doi>10.1016/j.jcms.2019.01.002</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Aged Bone Density Bone mineral density Cone beam CT Cone-Beam Computed Tomography Dental Implantation, Endosseous - methods Dental Implants Dental Prosthesis Design Dental Prosthesis Retention Humans Insertion torque Mandible - diagnostic imaging Maxilla Maxilla - diagnostic imaging Maxilla - physiology Maxilla - surgery Middle Aged Osseointegration Resonance frequency analysis Torque |
title | Correlation of cone beam CT-derived bone density parameters with primary implant stability assessed by peak insertion torque and periotest in the maxilla |
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