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Bone tissue microarchitectural characteristics at dental implant sites part 2: correlation with bone classification and primary stability

Identifieur interne : 000001 ( Istex/Corpus ); précédent : 000000; suivant : 000002

Bone tissue microarchitectural characteristics at dental implant sites part 2: correlation with bone classification and primary stability

Auteurs : Rejane Faria Ribeiro-Rotta ; Rubelisa Cândido Gomes De Oliveira ; Danilo Rocha Dias ; Christina Lindh ; Cláudio Rodrigues Leles

Source :

RBID : ISTEX:00799E8D88144AA4D26DCAE43A292A7CA499605E

Abstract

To investigate in vivo the correlation between the bone microarchitecture of implant bone sites, bone tissue classification subjectively assessed in radiographs and primary implant stability.

Url:
DOI: 10.1111/clr.12046

Links to Exploration step

ISTEX:00799E8D88144AA4D26DCAE43A292A7CA499605E

Le document en format XML

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<affiliation>Corresponding author: Rejane Faria Ribeiro‐Rotta Rua C‐235, N. 1323/1501 Nova Suíça, Goiânia‐GO 74280‐130, Brazil Tel./Fax: +55 62 32593766 e‐mail: rejanefrr@gmail.com</affiliation>
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<head>Abstract</head>
Objective
<p>To investigate
<hi rend="italic">in vivo</hi>
the correlation between the bone microarchitecture of implant bone sites, bone tissue classification subjectively assessed in radiographs and primary implant stability.</p>
Material and methods
<p>Periapical and panoramic radiographs were obtained from 32 partially edentulous patients. Three surgeons classified bone quality at implant sites using two different methods: assessments in periapical and panoramic radiographs (
<hi rend="fc">PP</hi>
) and according to the classification proposed by Lekholm and Zarb (L&Z). During the implant insertion, bone biopsies were taken, and three‐dimensional parameters were measured by microcomputed tomography (micro
<hi rend="fc">CT</hi>
). Insertion torque value (
<hi rend="fc">ITV</hi>
) and initial implant stability quotient (
<hi rend="fc">ISQ</hi>
) were recorded at the moment of the implantation.
<hi rend="fc">ISQ</hi>
was also recorded at the uncovering stage of a traditional implant protocol.</p>
Results
<p>Bone types 2 and 3 were the most prevalent classifications according to
<hi rend="fc">PP</hi>
(54.3%) and L&Z (58.7%). The mean and standard deviation values of primary stability variables were 38.7(16.7) for
<hi rend="fc">ITV</hi>
, 75.3 (7.7) for initial
<hi rend="fc">ISQ</hi>
and 79.3 (6.8) for uncovering
<hi rend="fc">ISQ</hi>
. Several micro
<hi rend="fc">CT</hi>
original and factor variables were found to correlate with bone tissue classifications and primary stability variables. L&Z correlated with architecture (
<hi rend="italic">r</hi>
 = 0.31;
<hi rend="italic">P</hi>
 < 0.05), density (
<hi rend="italic">r</hi>
 = −0.43;
<hi rend="italic">P</hi>
 < 0.01) and bulk (
<hi rend="italic">r</hi>
 = −0.35;
<hi rend="italic">P</hi>
 < 0.05), whereas
<hi rend="fc">ITV</hi>
correlated with architecture (
<hi rend="italic">r</hi>
 = −0.40;
<hi rend="italic">P</hi>
 < 0.01) and density (
<hi rend="italic">r</hi>
 = 0.51;
<hi rend="italic">P</hi>
 < 0.01). Multiple linear regression analysis revealed that density and bulk explained 32% of the variability of L&Z bone classification, while density and architecture explained 42% of the variability of
<hi rend="fc">ITV</hi>
.</p>
Conclusions
<p>This study demonstrates the first step in validating L&Z classification. Micro
<hi rend="fc">CT</hi>
provides objective and detailed quantitative data on bone microarchitecture. Intraosseous implant stability is mainly determined by the density of the bone.
<hi rend="fc">ITV</hi>
s could be a good indicator of primary implant stability, whereas
<hi rend="fc">ISQ</hi>
s measurements have some limitations and should not be used alone.</p>
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<givenNames>DR</givenNames>
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,
<author>
<familyName>Lindh</familyName>
<givenNames>C</givenNames>
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,
<author>
<familyName>Leles</familyName>
<givenNames>CR</givenNames>
</author>
.
<articleTitle>Bone tissue microarchitectural characteristics at dental implant sites part 2: correlation with bone classification and primary stability</articleTitle>
.
<journalTitle>Clin. Oral Impl. Res.</journalTitle>
<vol>25</vol>
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<pubYear year="2014">2014</pubYear>
;
<pageFirst>e47</pageFirst>
<pageLast>e53</pageLast>
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<title type="main">Bone tissue microarchitectural characteristics at dental implant sites part 2: correlation with bone classification and primary stability</title>
<title type="shortAuthors">Ribeiro‐Rotta et al</title>
</titleGroup>
<creators>
<creator affiliationRef="#clr12046-aff-0001" creatorRole="author" xml:id="clr12046-cr-0001">
<personName>
<givenNames>Rejane Faria</givenNames>
<familyName>Ribeiro‐Rotta</familyName>
</personName>
</creator>
<creator affiliationRef="#clr12046-aff-0001" corresponding="yes" creatorRole="author" xml:id="clr12046-cr-0002">
<personName>
<givenNames>Rubelisa Cândido Gomes</givenNames>
<familyNamePrefix>de</familyNamePrefix>
<familyName>Oliveira</familyName>
</personName>
</creator>
<creator affiliationRef="#clr12046-aff-0001" creatorRole="author" xml:id="clr12046-cr-0003">
<personName>
<givenNames>Danilo Rocha</givenNames>
<familyName>Dias</familyName>
</personName>
</creator>
<creator affiliationRef="#clr12046-aff-0003" creatorRole="author" xml:id="clr12046-cr-0004">
<personName>
<givenNames>Christina</givenNames>
<familyName>Lindh</familyName>
</personName>
</creator>
<creator affiliationRef="#clr12046-aff-0002" creatorRole="author" xml:id="clr12046-cr-0005">
<personName>
<givenNames>Cláudio Rodrigues</givenNames>
<familyName>Leles</familyName>
</personName>
</creator>
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<affiliationGroup>
<affiliation countryCode="BR" type="organization" xml:id="clr12046-aff-0001">
<orgDiv>Department of Oral Medicine</orgDiv>
<orgName>School of Dentistry</orgName>
<orgName>Federal University of Goias</orgName>
<address>
<city>Goiania</city>
<countryPart>Goias</countryPart>
<country>Brazil</country>
</address>
</affiliation>
<affiliation countryCode="BR" type="organization" xml:id="clr12046-aff-0002">
<orgDiv>Department of Prevention and Oral Rehabilitation</orgDiv>
<orgName>School of Dentistry</orgName>
<orgName>Federal University of Goias</orgName>
<address>
<city>Goiania</city>
<countryPart>Goias</countryPart>
<country>Brazil</country>
</address>
</affiliation>
<affiliation countryCode="SE" type="organization" xml:id="clr12046-aff-0003">
<orgDiv>Department of Oral and Maxillofacial Radiology</orgDiv>
<orgDiv>Faculty of Odontology</orgDiv>
<orgName>Malmö University</orgName>
<address>
<city>Malmö</city>
<country>Sweden</country>
</address>
</affiliation>
</affiliationGroup>
<keywordGroup type="author">
<keyword xml:id="clr12046-kwd-0001">bone density</keyword>
<keyword xml:id="clr12046-kwd-0002">dental implants</keyword>
<keyword xml:id="clr12046-kwd-0003">microcomputed tomography</keyword>
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<title type="main">Abstract</title>
<section xml:id="clr12046-sec-0001">
<title type="main">Objective</title>
<p>To investigate
<i>in vivo</i>
the correlation between the bone microarchitecture of implant bone sites, bone tissue classification subjectively assessed in radiographs and primary implant stability.</p>
</section>
<section xml:id="clr12046-sec-0002">
<title type="main">Material and methods</title>
<p>Periapical and panoramic radiographs were obtained from 32 partially edentulous patients. Three surgeons classified bone quality at implant sites using two different methods: assessments in periapical and panoramic radiographs (
<fc>PP</fc>
) and according to the classification proposed by Lekholm and Zarb (L&Z). During the implant insertion, bone biopsies were taken, and three‐dimensional parameters were measured by microcomputed tomography (micro
<fc>CT</fc>
). Insertion torque value (
<fc>ITV</fc>
) and initial implant stability quotient (
<fc>ISQ</fc>
) were recorded at the moment of the implantation.
<fc>ISQ</fc>
was also recorded at the uncovering stage of a traditional implant protocol.</p>
</section>
<section xml:id="clr12046-sec-0003">
<title type="main">Results</title>
<p>Bone types 2 and 3 were the most prevalent classifications according to
<fc>PP</fc>
(54.3%) and L&Z (58.7%). The mean and standard deviation values of primary stability variables were 38.7(16.7) for
<fc>ITV</fc>
, 75.3 (7.7) for initial
<fc>ISQ</fc>
and 79.3 (6.8) for uncovering
<fc>ISQ</fc>
. Several micro
<fc>CT</fc>
original and factor variables were found to correlate with bone tissue classifications and primary stability variables. L&Z correlated with architecture (
<i>r</i>
 = 0.31;
<i>P</i>
 < 0.05), density (
<i>r</i>
 = −0.43;
<i>P</i>
 < 0.01) and bulk (
<i>r</i>
 = −0.35;
<i>P</i>
 < 0.05), whereas
<fc>ITV</fc>
correlated with architecture (
<i>r</i>
 = −0.40;
<i>P</i>
 < 0.01) and density (
<i>r</i>
 = 0.51;
<i>P</i>
 < 0.01). Multiple linear regression analysis revealed that density and bulk explained 32% of the variability of L&Z bone classification, while density and architecture explained 42% of the variability of
<fc>ITV</fc>
.</p>
</section>
<section xml:id="clr12046-sec-0004">
<title type="main">Conclusions</title>
<p>This study demonstrates the first step in validating L&Z classification. Micro
<fc>CT</fc>
provides objective and detailed quantitative data on bone microarchitecture. Intraosseous implant stability is mainly determined by the density of the bone.
<fc>ITV</fc>
s could be a good indicator of primary implant stability, whereas
<fc>ISQ</fc>
s measurements have some limitations and should not be used alone.</p>
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<name type="personal">
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<affiliation>Department of Oral Medicine, School of Dentistry, Federal University of Goias, Goias, Goiania, Brazil</affiliation>
<affiliation>Corresponding author:Rua C‐235, N. 1323/1501 Nova Suíça, Goiânia‐GO 74280‐130, BrazilTel./Fax: +55 62 32593766e‐mail:</affiliation>
<affiliation>E-mail: rejanefrr@gmail.com</affiliation>
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<name type="personal">
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<abstract>To investigate in vivo the correlation between the bone microarchitecture of implant bone sites, bone tissue classification subjectively assessed in radiographs and primary implant stability.</abstract>
<abstract>Periapical and panoramic radiographs were obtained from 32 partially edentulous patients. Three surgeons classified bone quality at implant sites using two different methods: assessments in periapical and panoramic radiographs (PP) and according to the classification proposed by Lekholm and Zarb (L&Z). During the implant insertion, bone biopsies were taken, and three‐dimensional parameters were measured by microcomputed tomography (microCT). Insertion torque value (ITV) and initial implant stability quotient (ISQ) were recorded at the moment of the implantation. ISQ was also recorded at the uncovering stage of a traditional implant protocol.</abstract>
<abstract>Bone types 2 and 3 were the most prevalent classifications according to PP (54.3%) and L&Z (58.7%). The mean and standard deviation values of primary stability variables were 38.7(16.7) for ITV, 75.3 (7.7) for initial ISQ and 79.3 (6.8) for uncovering ISQ. Several microCT original and factor variables were found to correlate with bone tissue classifications and primary stability variables. L&Z correlated with architecture (r = 0.31; P < 0.05), density (r = −0.43; P < 0.01) and bulk (r = −0.35; P < 0.05), whereas ITV correlated with architecture (r = −0.40; P < 0.01) and density (r = 0.51; P < 0.01). Multiple linear regression analysis revealed that density and bulk explained 32% of the variability of L&Z bone classification, while density and architecture explained 42% of the variability of ITV.</abstract>
<abstract>This study demonstrates the first step in validating L&Z classification. MicroCT provides objective and detailed quantitative data on bone microarchitecture. Intraosseous implant stability is mainly determined by the density of the bone. ITVs could be a good indicator of primary implant stability, whereas ISQs measurements have some limitations and should not be used alone.</abstract>
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