Influence of kilovoltage- peak and the metal artifact reduction tool in cone-beam computed tomography on the detection of bone defects around titanium-zirconia and zirconia implants

Purpose: The aim of this study was to assess the influence of kilovoltage- peak (kVp) and the metal artifact reduction (MAR) tool on the detection of buccal and lingual peri-implant dehiscence in the presence of titanium-zirconia (Ti-Zr) and zirconia (Zr) implants in cone-beam computed tomography (C...

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Veröffentlicht in:Imaging science in dentistry 2022, Vol.52 (52), p.267-273
Hauptverfasser: Fontenele, Rocharles Cavalcante, Nascimento, Eduarda Helena Leandro, Imbelloni-Vasconcelos, Ana Catarina, Martins, Luciano Augusto Cano, Pontual, Andrea dos Anjos, Ramos-Perez, Flavia Maria Moraes, Freitas, Deborah Queiroz
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container_end_page 273
container_issue 52
container_start_page 267
container_title Imaging science in dentistry
container_volume 52
creator Fontenele, Rocharles Cavalcante
Nascimento, Eduarda Helena Leandro
Imbelloni-Vasconcelos, Ana Catarina
Martins, Luciano Augusto Cano
Pontual, Andrea dos Anjos
Ramos-Perez, Flavia Maria Moraes
Freitas, Deborah Queiroz
description Purpose: The aim of this study was to assess the influence of kilovoltage- peak (kVp) and the metal artifact reduction (MAR) tool on the detection of buccal and lingual peri-implant dehiscence in the presence of titanium-zirconia (Ti-Zr) and zirconia (Zr) implants in cone-beam computed tomography (CBCT) images. Materials and Methods: Twenty implant sites were created in the posterior region of human mandibles, including control sites (without dehiscence) and experimental sites (with dehiscence). Individually, a Ti-Zr or Zr implant was placed in each implant site. CBCT scans were performed using a Picasso Trio device, with variation in the kVp setting (70 or 90 kVp) and whether the MAR tool was used. Three oral radiologists scored the detection of dehiscence using a 5-point scale. The area under the receiver operating characteristic (ROC) curve, sensitivity, and specificity were calculated and compared by multi-way analysis of variance (α=0.05). Results: The kVp, cortical plate involved (buccal or lingual cortices), and MAR did not influence any diagnostic values (P>0.05). The material of the implant did not influence the ROC curve values(P>0.05). In contrast, the sensitivity and specificity were statistically significantly influenced by the implant material (P
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Materials and Methods: Twenty implant sites were created in the posterior region of human mandibles, including control sites (without dehiscence) and experimental sites (with dehiscence). Individually, a Ti-Zr or Zr implant was placed in each implant site. CBCT scans were performed using a Picasso Trio device, with variation in the kVp setting (70 or 90 kVp) and whether the MAR tool was used. Three oral radiologists scored the detection of dehiscence using a 5-point scale. The area under the receiver operating characteristic (ROC) curve, sensitivity, and specificity were calculated and compared by multi-way analysis of variance (α=0.05). Results: The kVp, cortical plate involved (buccal or lingual cortices), and MAR did not influence any diagnostic values (P&gt;0.05). The material of the implant did not influence the ROC curve values(P&gt;0.05). In contrast, the sensitivity and specificity were statistically significantly influenced by the implant material (P&lt;0.05) with Zr implants showing higher sensitivity values and lower specificity values than Ti-Zr implants. Conclusion: The detection of peri-implant dehiscence was not influenced by kVp, use of the MAR tool, or the cortical plate. Greater sensitivity and lower specificity were shown for the detection of peri-implant dehiscence in the presence of a Zr implant.</description><identifier>ISSN: 2233-7822</identifier><identifier>EISSN: 2233-7830</identifier><language>kor</language><ispartof>Imaging science in dentistry, 2022, Vol.52 (52), p.267-273</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,4025</link.rule.ids></links><search><creatorcontrib>Fontenele, Rocharles Cavalcante</creatorcontrib><creatorcontrib>Nascimento, Eduarda Helena Leandro</creatorcontrib><creatorcontrib>Imbelloni-Vasconcelos, Ana Catarina</creatorcontrib><creatorcontrib>Martins, Luciano Augusto Cano</creatorcontrib><creatorcontrib>Pontual, Andrea dos Anjos</creatorcontrib><creatorcontrib>Ramos-Perez, Flavia Maria Moraes</creatorcontrib><creatorcontrib>Freitas, Deborah Queiroz</creatorcontrib><title>Influence of kilovoltage- peak and the metal artifact reduction tool in cone-beam computed tomography on the detection of bone defects around titanium-zirconia and zirconia implants</title><title>Imaging science in dentistry</title><addtitle>Imaging science in dentistry</addtitle><description>Purpose: The aim of this study was to assess the influence of kilovoltage- peak (kVp) and the metal artifact reduction (MAR) tool on the detection of buccal and lingual peri-implant dehiscence in the presence of titanium-zirconia (Ti-Zr) and zirconia (Zr) implants in cone-beam computed tomography (CBCT) images. Materials and Methods: Twenty implant sites were created in the posterior region of human mandibles, including control sites (without dehiscence) and experimental sites (with dehiscence). Individually, a Ti-Zr or Zr implant was placed in each implant site. CBCT scans were performed using a Picasso Trio device, with variation in the kVp setting (70 or 90 kVp) and whether the MAR tool was used. Three oral radiologists scored the detection of dehiscence using a 5-point scale. The area under the receiver operating characteristic (ROC) curve, sensitivity, and specificity were calculated and compared by multi-way analysis of variance (α=0.05). Results: The kVp, cortical plate involved (buccal or lingual cortices), and MAR did not influence any diagnostic values (P&gt;0.05). The material of the implant did not influence the ROC curve values(P&gt;0.05). In contrast, the sensitivity and specificity were statistically significantly influenced by the implant material (P&lt;0.05) with Zr implants showing higher sensitivity values and lower specificity values than Ti-Zr implants. Conclusion: The detection of peri-implant dehiscence was not influenced by kVp, use of the MAR tool, or the cortical plate. Greater sensitivity and lower specificity were shown for the detection of peri-implant dehiscence in the presence of a Zr implant.</description><issn>2233-7822</issn><issn>2233-7830</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNqNT8lOw0AMjRBIVNB_8IVjpDDTNr0iBGI5cOFeuYmnNZklyniQ4L_4P1xAPeOL7ae32CfVzBhr63Ztm9PjbMx5Nc_5rdFamnW7up5VX4_R-UKxI0gOBvbpPXnBHdUwEg6AsQfZEwQS9ICTsMNOYKK-dMIpgqTkgSN0KVK9JQw6hbEIqS6FtJtw3H_AgaguPQn9yjRsqwpFnCJZnVM5RLFg5BLqT57UkfHngOPCYfQYJV9WZw59pvlfv6iu7u9ebx_qgbPwJvbZb55unl9MY4xp2-ViZRf6sv0v7xtBLWVD</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Fontenele, Rocharles Cavalcante</creator><creator>Nascimento, Eduarda Helena Leandro</creator><creator>Imbelloni-Vasconcelos, Ana Catarina</creator><creator>Martins, Luciano Augusto Cano</creator><creator>Pontual, Andrea dos Anjos</creator><creator>Ramos-Perez, Flavia Maria Moraes</creator><creator>Freitas, Deborah Queiroz</creator><scope>JDI</scope></search><sort><creationdate>2022</creationdate><title>Influence of kilovoltage- peak and the metal artifact reduction tool in cone-beam computed tomography on the detection of bone defects around titanium-zirconia and zirconia implants</title><author>Fontenele, Rocharles Cavalcante ; Nascimento, Eduarda Helena Leandro ; Imbelloni-Vasconcelos, Ana Catarina ; Martins, Luciano Augusto Cano ; Pontual, Andrea dos Anjos ; Ramos-Perez, Flavia Maria Moraes ; Freitas, Deborah Queiroz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-kisti_ndsl_JAKO2022277546340523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Fontenele, Rocharles Cavalcante</creatorcontrib><creatorcontrib>Nascimento, Eduarda Helena Leandro</creatorcontrib><creatorcontrib>Imbelloni-Vasconcelos, Ana Catarina</creatorcontrib><creatorcontrib>Martins, Luciano Augusto Cano</creatorcontrib><creatorcontrib>Pontual, Andrea dos Anjos</creatorcontrib><creatorcontrib>Ramos-Perez, Flavia Maria Moraes</creatorcontrib><creatorcontrib>Freitas, Deborah Queiroz</creatorcontrib><collection>KoreaScience</collection><jtitle>Imaging science in dentistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fontenele, Rocharles Cavalcante</au><au>Nascimento, Eduarda Helena Leandro</au><au>Imbelloni-Vasconcelos, Ana Catarina</au><au>Martins, Luciano Augusto Cano</au><au>Pontual, Andrea dos Anjos</au><au>Ramos-Perez, Flavia Maria Moraes</au><au>Freitas, Deborah Queiroz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of kilovoltage- peak and the metal artifact reduction tool in cone-beam computed tomography on the detection of bone defects around titanium-zirconia and zirconia implants</atitle><jtitle>Imaging science in dentistry</jtitle><addtitle>Imaging science in dentistry</addtitle><date>2022</date><risdate>2022</risdate><volume>52</volume><issue>52</issue><spage>267</spage><epage>273</epage><pages>267-273</pages><issn>2233-7822</issn><eissn>2233-7830</eissn><abstract>Purpose: The aim of this study was to assess the influence of kilovoltage- peak (kVp) and the metal artifact reduction (MAR) tool on the detection of buccal and lingual peri-implant dehiscence in the presence of titanium-zirconia (Ti-Zr) and zirconia (Zr) implants in cone-beam computed tomography (CBCT) images. Materials and Methods: Twenty implant sites were created in the posterior region of human mandibles, including control sites (without dehiscence) and experimental sites (with dehiscence). Individually, a Ti-Zr or Zr implant was placed in each implant site. CBCT scans were performed using a Picasso Trio device, with variation in the kVp setting (70 or 90 kVp) and whether the MAR tool was used. Three oral radiologists scored the detection of dehiscence using a 5-point scale. The area under the receiver operating characteristic (ROC) curve, sensitivity, and specificity were calculated and compared by multi-way analysis of variance (α=0.05). Results: The kVp, cortical plate involved (buccal or lingual cortices), and MAR did not influence any diagnostic values (P&gt;0.05). The material of the implant did not influence the ROC curve values(P&gt;0.05). In contrast, the sensitivity and specificity were statistically significantly influenced by the implant material (P&lt;0.05) with Zr implants showing higher sensitivity values and lower specificity values than Ti-Zr implants. Conclusion: The detection of peri-implant dehiscence was not influenced by kVp, use of the MAR tool, or the cortical plate. Greater sensitivity and lower specificity were shown for the detection of peri-implant dehiscence in the presence of a Zr implant.</abstract><oa>free_for_read</oa></addata></record>
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title Influence of kilovoltage- peak and the metal artifact reduction tool in cone-beam computed tomography on the detection of bone defects around titanium-zirconia and zirconia implants
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