Predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography intensity values
Identifieur interne : 000113 ( Main/Exploration ); précédent : 000112; suivant : 000114Predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography intensity values
Auteurs : Mustafa Alkhader [Jordanie] ; Malik Hudieb [Jordanie] ; Yousef Khader [Jordanie]Source :
- European Journal of Dentistry [ 1305-7456 ] ; 2017.
Abstract
The aim of this study was to investigate the predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography (CBCT) intensity values.
CBCT cross-sectional images for 436 posterior mandibular implant sites were selected for the study. Using Invivo software (Anatomage, San Jose, California, USA), two observers classified the bone density into three categories: low, intermediate, and high, and CBCT intensity values were generated.
Based on the consensus of the two observers, 15.6% of sites were of low bone density, 47.9% were of intermediate density, and 36.5% were of high density. Receiver-operating characteristic analysis showed that CBCT intensity values had a high predictive power for predicting high density sites (area under the curve [AUC] =0.94,
CBCT intensity values are considered useful for predicting bone density at posterior mandibular implant sites.
Url:
DOI: 10.4103/ejd.ejd_14_17
PubMed: 28932139
PubMed Central: 5594958
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography intensity values</title><author><name sortKey="Alkhader, Mustafa" sort="Alkhader, Mustafa" uniqKey="Alkhader M" first="Mustafa" last="Alkhader">Mustafa Alkhader</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of Oral Surgery and Medicine, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Oral Surgery and Medicine, Faculty of Dentistry, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author><author><name sortKey="Hudieb, Malik" sort="Hudieb, Malik" uniqKey="Hudieb M" first="Malik" last="Hudieb">Malik Hudieb</name><affiliation wicri:level="1"><nlm:aff id="aff2">Department of Preventive Dentistry, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Preventive Dentistry, Faculty of Dentistry, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author><author><name sortKey="Khader, Yousef" sort="Khader, Yousef" uniqKey="Khader Y" first="Yousef" last="Khader">Yousef Khader</name><affiliation wicri:level="1"><nlm:aff id="aff3">Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">28932139</idno><idno type="pmc">5594958</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5594958</idno><idno type="RBID">PMC:5594958</idno><idno type="doi">10.4103/ejd.ejd_14_17</idno><date when="2017">2017</date><idno type="wicri:Area/Pmc/Corpus">002C31</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002C31</idno><idno type="wicri:Area/Pmc/Curation">002C31</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">002C31</idno><idno type="wicri:Area/Pmc/Checkpoint">000103</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000103</idno><idno type="wicri:Area/Ncbi/Merge">007201</idno><idno type="wicri:Area/Ncbi/Curation">007201</idno><idno type="wicri:Area/Ncbi/Checkpoint">007201</idno><idno type="wicri:doubleKey">1305-7456:2017:Alkhader M:predictability:of:bone</idno><idno type="wicri:Area/Main/Merge">000113</idno><idno type="wicri:Area/Main/Curation">000113</idno><idno type="wicri:Area/Main/Exploration">000113</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography intensity values</title><author><name sortKey="Alkhader, Mustafa" sort="Alkhader, Mustafa" uniqKey="Alkhader M" first="Mustafa" last="Alkhader">Mustafa Alkhader</name><affiliation wicri:level="1"><nlm:aff id="aff1">Department of Oral Surgery and Medicine, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Oral Surgery and Medicine, Faculty of Dentistry, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author><author><name sortKey="Hudieb, Malik" sort="Hudieb, Malik" uniqKey="Hudieb M" first="Malik" last="Hudieb">Malik Hudieb</name><affiliation wicri:level="1"><nlm:aff id="aff2">Department of Preventive Dentistry, Faculty of Dentistry, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Preventive Dentistry, Faculty of Dentistry, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author><author><name sortKey="Khader, Yousef" sort="Khader, Yousef" uniqKey="Khader Y" first="Yousef" last="Khader">Yousef Khader</name><affiliation wicri:level="1"><nlm:aff id="aff3">Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan</nlm:aff><country xml:lang="fr">Jordanie</country><wicri:regionArea>Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid</wicri:regionArea><wicri:noRegion>Irbid</wicri:noRegion></affiliation></author></analytic><series><title level="j">European Journal of Dentistry</title><idno type="ISSN">1305-7456</idno><idno type="eISSN">1305-7464</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Objective:</title><p>The aim of this study was to investigate the predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography (CBCT) intensity values.</p></sec><sec id="st2"><title>Materials and Methods:</title><p>CBCT cross-sectional images for 436 posterior mandibular implant sites were selected for the study. Using Invivo software (Anatomage, San Jose, California, USA), two observers classified the bone density into three categories: low, intermediate, and high, and CBCT intensity values were generated.</p></sec><sec id="st3"><title>Results:</title><p>Based on the consensus of the two observers, 15.6% of sites were of low bone density, 47.9% were of intermediate density, and 36.5% were of high density. Receiver-operating characteristic analysis showed that CBCT intensity values had a high predictive power for predicting high density sites (area under the curve [AUC] =0.94, <italic>P</italic> < 0.005) and intermediate density sites (AUC = 0.81, <italic>P</italic> < 0.005). The best cut-off value for intensity to predict intermediate density sites was 218 (sensitivity = 0.77 and specificity = 0.76) and the best cut-off value for intensity to predict high density sites was 403 (sensitivity = 0.93 and specificity = 0.77).</p></sec><sec id="st4"><title>Conclusions:</title><p>CBCT intensity values are considered useful for predicting bone density at posterior mandibular implant sites.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Hanif, A" uniqKey="Hanif A">A Hanif</name></author><author><name sortKey="Qureshi, S" uniqKey="Qureshi S">S Qureshi</name></author><author><name sortKey="Sheikh, Z" uniqKey="Sheikh Z">Z Sheikh</name></author><author><name sortKey="Rashid, H" uniqKey="Rashid H">H Rashid</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Swami, V" uniqKey="Swami V">V Swami</name></author><author><name sortKey="Vijayaraghavan, V" uniqKey="Vijayaraghavan V">V 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