Diagnostic validity of early proximal caries detection using near-infrared imaging technology on 3D range data of posterior teeth
Objectives This in vitro study analysed potential of early proximal caries detection using 3D range data of teeth consisting of near-infrared reflection images at 850 nm (NIRR). Materials and methods Two hundred fifty healthy and carious permanent human teeth were arranged pairwise, examined with bi...
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| Veröffentlicht in: | Clinical oral investigations 2022-01, Vol.26 (1), p.543-553 |
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| creator | Litzenburger, Friederike Heck, Katrin Kaisarly, Dalia Kunzelmann, Karl-Heinz |
| description | Objectives
This in vitro study analysed potential of early proximal caries detection using 3D range data of teeth consisting of near-infrared reflection images at 850 nm (NIRR).
Materials and methods
Two hundred fifty healthy and carious permanent human teeth were arranged pairwise, examined with bitewing radiography (BWR) and NIRR and validated with micro-computed tomography. NIRR findings were evaluated from buccal, lingual and occlusal (trilateral) views according to yes/no decisions about presence of caries. Reliability assessments included kappa statistics and revealed high agreement for both methods. Statistical analysis included cross tabulation and calculation of sensitivity, specificity and AUC.
Results
Underestimation of caries was 24.8% for NIRR and 26.4% for BWR. Overestimation was 10.4% for occlusal NIRR and 0% for BWR. Trilateral NIRR had overall accuracy of 64.8%, overestimation of 15.6% and underestimation of 19.6%. NIRR and BWR showed high specificity and low sensitivity for proximal caries detection.
Conclusions
NIRR achieved diagnostic results comparable to BWR. Trilateral NIRR assessments overestimated presence of proximal caries, revealing stronger sensitivity for initial caries detection than BWR.
Clinical relevance
NIRR provided valid complement to BWR as diagnostic instrument. Investigation from multiple angles did not substantially improve proximal caries detection with NIRR. |
| doi_str_mv | 10.1007/s00784-021-04032-1 |
| format | Article |
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This in vitro study analysed potential of early proximal caries detection using 3D range data of teeth consisting of near-infrared reflection images at 850 nm (NIRR).
Materials and methods
Two hundred fifty healthy and carious permanent human teeth were arranged pairwise, examined with bitewing radiography (BWR) and NIRR and validated with micro-computed tomography. NIRR findings were evaluated from buccal, lingual and occlusal (trilateral) views according to yes/no decisions about presence of caries. Reliability assessments included kappa statistics and revealed high agreement for both methods. Statistical analysis included cross tabulation and calculation of sensitivity, specificity and AUC.
Results
Underestimation of caries was 24.8% for NIRR and 26.4% for BWR. Overestimation was 10.4% for occlusal NIRR and 0% for BWR. Trilateral NIRR had overall accuracy of 64.8%, overestimation of 15.6% and underestimation of 19.6%. NIRR and BWR showed high specificity and low sensitivity for proximal caries detection.
Conclusions
NIRR achieved diagnostic results comparable to BWR. Trilateral NIRR assessments overestimated presence of proximal caries, revealing stronger sensitivity for initial caries detection than BWR.
Clinical relevance
NIRR provided valid complement to BWR as diagnostic instrument. Investigation from multiple angles did not substantially improve proximal caries detection with NIRR.</description><identifier>ISSN: 1432-6981</identifier><identifier>EISSN: 1436-3771</identifier><identifier>DOI: 10.1007/s00784-021-04032-1</identifier><identifier>PMID: 34636940</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Computed tomography ; Datasets ; Dental caries ; Dental Caries - diagnostic imaging ; Dental Caries Susceptibility ; Dentistry ; Enamel ; Humans ; I.R. radiation ; Lasers ; Light emitting diodes ; Medicine ; Original ; Original Article ; Radiography ; Radiography, Bitewing ; Reproducibility ; Reproducibility of Results ; Scanners ; Sensitivity and Specificity ; Software ; Statistical analysis ; Technology ; Teeth ; Tomography ; X-Ray Microtomography</subject><ispartof>Clinical oral investigations, 2022-01, Vol.26 (1), p.543-553</ispartof><rights>The Author(s) 2021</rights><rights>2021. The Author(s).</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-6b5faec07a6ffe8728ca5ef0fe00d5548241860e18e2386c6cca3dbc953808fa3</citedby><cites>FETCH-LOGICAL-c474t-6b5faec07a6ffe8728ca5ef0fe00d5548241860e18e2386c6cca3dbc953808fa3</cites><orcidid>0000-0003-0031-6219</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00784-021-04032-1$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00784-021-04032-1$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34636940$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Litzenburger, Friederike</creatorcontrib><creatorcontrib>Heck, Katrin</creatorcontrib><creatorcontrib>Kaisarly, Dalia</creatorcontrib><creatorcontrib>Kunzelmann, Karl-Heinz</creatorcontrib><title>Diagnostic validity of early proximal caries detection using near-infrared imaging technology on 3D range data of posterior teeth</title><title>Clinical oral investigations</title><addtitle>Clin Oral Invest</addtitle><addtitle>Clin Oral Investig</addtitle><description>Objectives
This in vitro study analysed potential of early proximal caries detection using 3D range data of teeth consisting of near-infrared reflection images at 850 nm (NIRR).
Materials and methods
Two hundred fifty healthy and carious permanent human teeth were arranged pairwise, examined with bitewing radiography (BWR) and NIRR and validated with micro-computed tomography. NIRR findings were evaluated from buccal, lingual and occlusal (trilateral) views according to yes/no decisions about presence of caries. Reliability assessments included kappa statistics and revealed high agreement for both methods. Statistical analysis included cross tabulation and calculation of sensitivity, specificity and AUC.
Results
Underestimation of caries was 24.8% for NIRR and 26.4% for BWR. Overestimation was 10.4% for occlusal NIRR and 0% for BWR. Trilateral NIRR had overall accuracy of 64.8%, overestimation of 15.6% and underestimation of 19.6%. NIRR and BWR showed high specificity and low sensitivity for proximal caries detection.
Conclusions
NIRR achieved diagnostic results comparable to BWR. Trilateral NIRR assessments overestimated presence of proximal caries, revealing stronger sensitivity for initial caries detection than BWR.
Clinical relevance
NIRR provided valid complement to BWR as diagnostic instrument. Investigation from multiple angles did not substantially improve proximal caries detection with NIRR.</description><subject>Computed tomography</subject><subject>Datasets</subject><subject>Dental caries</subject><subject>Dental Caries - diagnostic imaging</subject><subject>Dental Caries Susceptibility</subject><subject>Dentistry</subject><subject>Enamel</subject><subject>Humans</subject><subject>I.R. radiation</subject><subject>Lasers</subject><subject>Light emitting diodes</subject><subject>Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Radiography</subject><subject>Radiography, Bitewing</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>Scanners</subject><subject>Sensitivity and Specificity</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Technology</subject><subject>Teeth</subject><subject>Tomography</subject><subject>X-Ray Microtomography</subject><issn>1432-6981</issn><issn>1436-3771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kcuOVCEQhonROOPoC7gwJG7coNwO0BsTM-MtmcSNrgnNKU4zOQ0tcCbTS99cenocLws3QKq--quKH6HnjL5mlOo3tR9GEsoZoZIKTtgDdMqkUERozR7evjlRK8NO0JNaryhlUmnxGJ0IqYRaSXqKflxEN6VcW_T42s1xjG2Pc8DgyrzHu5Jv4tbN2LsSoeIRGvgWc8JLjWnCqWMkplBcgRF3cjpEO7NJec5TV0pYXODi0gR4dM0dpHe9G5SYSwehbZ6iR8HNFZ7d3Wfo24f3X88_kcsvHz-fv7skXmrZiFoPwYGn2qkQwGhuvBsg0ACUjsMgDZfMKArMABdGeeW9E-ParwZhqAlOnKG3R93dst7C6CG14ma7K33ssrfZRft3JsWNnfK1NXrFjDFd4NWdQMnfF6jNbmP1MM8uQV6q5YNhXOtB6o6-_Ae9yktJfT3LFed9TkNZp_iR8iXXWiDcD8OoPThsjw7b7rC9ddgeil78ucZ9yS9LOyCOQO2p_u_ld-__yP4ErOq0hw</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Litzenburger, Friederike</creator><creator>Heck, Katrin</creator><creator>Kaisarly, Dalia</creator><creator>Kunzelmann, Karl-Heinz</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0031-6219</orcidid></search><sort><creationdate>20220101</creationdate><title>Diagnostic validity of early proximal caries detection using near-infrared imaging technology on 3D range data of posterior teeth</title><author>Litzenburger, Friederike ; Heck, Katrin ; Kaisarly, Dalia ; Kunzelmann, Karl-Heinz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-6b5faec07a6ffe8728ca5ef0fe00d5548241860e18e2386c6cca3dbc953808fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computed tomography</topic><topic>Datasets</topic><topic>Dental caries</topic><topic>Dental Caries - diagnostic imaging</topic><topic>Dental Caries Susceptibility</topic><topic>Dentistry</topic><topic>Enamel</topic><topic>Humans</topic><topic>I.R. radiation</topic><topic>Lasers</topic><topic>Light emitting diodes</topic><topic>Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Radiography</topic><topic>Radiography, Bitewing</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Scanners</topic><topic>Sensitivity and Specificity</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Technology</topic><topic>Teeth</topic><topic>Tomography</topic><topic>X-Ray Microtomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Litzenburger, Friederike</creatorcontrib><creatorcontrib>Heck, Katrin</creatorcontrib><creatorcontrib>Kaisarly, Dalia</creatorcontrib><creatorcontrib>Kunzelmann, Karl-Heinz</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical oral investigations</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Litzenburger, Friederike</au><au>Heck, Katrin</au><au>Kaisarly, Dalia</au><au>Kunzelmann, Karl-Heinz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic validity of early proximal caries detection using near-infrared imaging technology on 3D range data of posterior teeth</atitle><jtitle>Clinical oral investigations</jtitle><stitle>Clin Oral Invest</stitle><addtitle>Clin Oral Investig</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>26</volume><issue>1</issue><spage>543</spage><epage>553</epage><pages>543-553</pages><issn>1432-6981</issn><eissn>1436-3771</eissn><abstract>Objectives
This in vitro study analysed potential of early proximal caries detection using 3D range data of teeth consisting of near-infrared reflection images at 850 nm (NIRR).
Materials and methods
Two hundred fifty healthy and carious permanent human teeth were arranged pairwise, examined with bitewing radiography (BWR) and NIRR and validated with micro-computed tomography. NIRR findings were evaluated from buccal, lingual and occlusal (trilateral) views according to yes/no decisions about presence of caries. Reliability assessments included kappa statistics and revealed high agreement for both methods. Statistical analysis included cross tabulation and calculation of sensitivity, specificity and AUC.
Results
Underestimation of caries was 24.8% for NIRR and 26.4% for BWR. Overestimation was 10.4% for occlusal NIRR and 0% for BWR. Trilateral NIRR had overall accuracy of 64.8%, overestimation of 15.6% and underestimation of 19.6%. NIRR and BWR showed high specificity and low sensitivity for proximal caries detection.
Conclusions
NIRR achieved diagnostic results comparable to BWR. Trilateral NIRR assessments overestimated presence of proximal caries, revealing stronger sensitivity for initial caries detection than BWR.
Clinical relevance
NIRR provided valid complement to BWR as diagnostic instrument. Investigation from multiple angles did not substantially improve proximal caries detection with NIRR.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34636940</pmid><doi>10.1007/s00784-021-04032-1</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0031-6219</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Computed tomography Datasets Dental caries Dental Caries - diagnostic imaging Dental Caries Susceptibility Dentistry Enamel Humans I.R. radiation Lasers Light emitting diodes Medicine Original Original Article Radiography Radiography, Bitewing Reproducibility Reproducibility of Results Scanners Sensitivity and Specificity Software Statistical analysis Technology Teeth Tomography X-Ray Microtomography |
| title | Diagnostic validity of early proximal caries detection using near-infrared imaging technology on 3D range data of posterior teeth |
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