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Estimating the color of maxillary central incisors based on age and gender

Identifieur interne : 002083 ( Pmc/Curation ); précédent : 002082; suivant : 002084

Estimating the color of maxillary central incisors based on age and gender

Auteurs : David Gozalo-Diaz [États-Unis] ; William M. Johnston [États-Unis] ; Alvin G. Wee

Source :

RBID : PMC:2525795

Abstract

Statement of problem

There is no scientific information regarding the selection of the color of teeth for edentulous patients.

Purpose

The purpose of this study was to evaluate linear regression models that may be used to predict color parameters for central incisors of edentulous patients based on some characteristics of dentate subjects.

Material and methods

A spectroradiometer and an external light source were set in a noncontacting 45/0 degree (45-degree illumination and 0-degree observer) optical configuration to measure the color of subjects’ vital craniofacial structures (maxillary central incisor, attached gingiva, and facial skin). The subjects (n=120) were stratified into 5 age groups with 4 racial groups and balanced for gender. Linear first-order regression was used to determine the significant factors (α=.05) in the prediction model for each color direction of the color of the maxillary central incisor. Age, gender, and color of the other craniofacial structures were studied as potential predictors. Final predictions in each color direction were based only on the statistically significant factors, and then the color differences between observed and predicted CIELAB values for the central incisors were calculated and summarized.

Results

The statistically significant predictors of age and gender accounted for 36% of the total variability in L*. The statistically significant predictor of age accounted for 16% of the total variability in a*. The statistically significant predictors of age and gender accounted for 21% of the variability in b*. The mean ΔE (SD) between predicted and observed CIELAB values for the central incisor was 5.8 (3.2).

Conclusions

Age and gender were found to be statistically significant determinants in predicting the natural color of central incisors. Although the precision of these predictions was less than the median color difference found for all pairs of teeth studied, and may be considered an acceptable precision, further study is needed to reduce this precision to the limit of detection.

Clinical Implications

Age is highly correlated with the natural color of the central incisors. When age increases, the central incisor becomes darker, more reddish, and more yellow. Also, the women subjects in this study had lighter and less yellow central incisors than the men.


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DOI: 10.1016/S0022-3913(08)60155-9
PubMed: 18672125
PubMed Central: 2525795

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Alvin G. Wee
<affiliation>
<nlm:aff id="A3">Associate Professor and Director, Division of Oral Facial Prosthetics/Dental Oncology, Department of Otolaryngology - Head and Neck Surgery, University of Nebraska Medical Center, Omaha, Neb</nlm:aff>
<wicri:noCountry code="subfield">Neb</wicri:noCountry>
</affiliation>

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<title>Statement of problem</title>
<p id="P1">There is no scientific information regarding the selection of the color of teeth for edentulous patients.</p>
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<sec id="S2">
<title>Purpose</title>
<p id="P2">The purpose of this study was to evaluate linear regression models that may be used to predict color parameters for central incisors of edentulous patients based on some characteristics of dentate subjects.</p>
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<title>Material and methods</title>
<p id="P3">A spectroradiometer and an external light source were set in a noncontacting 45/0 degree (45-degree illumination and 0-degree observer) optical configuration to measure the color of subjects’ vital craniofacial structures (maxillary central incisor, attached gingiva, and facial skin). The subjects (n=120) were stratified into 5 age groups with 4 racial groups and balanced for gender. Linear first-order regression was used to determine the significant factors (α=.05) in the prediction model for each color direction of the color of the maxillary central incisor. Age, gender, and color of the other craniofacial structures were studied as potential predictors. Final predictions in each color direction were based only on the statistically significant factors, and then the color differences between observed and predicted CIELAB values for the central incisors were calculated and summarized.</p>
</sec>
<sec id="S4">
<title>Results</title>
<p id="P4">The statistically significant predictors of age and gender accounted for 36% of the total variability in L*. The statistically significant predictor of age accounted for 16% of the total variability in a*. The statistically significant predictors of age and gender accounted for 21% of the variability in b*. The mean ΔE (SD) between predicted and observed CIELAB values for the central incisor was 5.8 (3.2).</p>
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<sec id="S5">
<title>Conclusions</title>
<p id="P5">Age and gender were found to be statistically significant determinants in predicting the natural color of central incisors. Although the precision of these predictions was less than the median color difference found for all pairs of teeth studied, and may be considered an acceptable precision, further study is needed to reduce this precision to the limit of detection.</p>
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Assistant Professor, School of Dental Medicine, University of Colorado Health Science Center, Denver, Colo; Former Implant Fellow and Advanced Prosthodontic Resident, Craniofacial Color Research Laboratory, Section of Restorative and Prosthetic Dentistry, College of Dentistry, The Ohio State University, Columbus, Ohio</aff>
<aff id="A2">
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Professor, Craniofacial Color Research Laboratory, Section of Restorative and Prosthetic Dentistry, College of Dentistry, The Ohio State University, Columbus, Ohio</aff>
<aff id="A3">
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Associate Professor and Director, Division of Oral Facial Prosthetics/Dental Oncology, Department of Otolaryngology - Head and Neck Surgery, University of Nebraska Medical Center, Omaha, Neb</aff>
<author-notes>
<corresp id="CR1">Corresponding author: Dr David Gozalo, University of Colorado at Denver and Health Sciences Center, Department of Restorative Dentistry, PO Box 6508 Mail, Stop F845, Aurora, CO, 80045, Fax: 303-724-7079, E-mail:
<email>David.Gozalo@uchsc.edu</email>
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<fpage>93</fpage>
<lpage>98</lpage>
<abstract>
<sec id="S1">
<title>Statement of problem</title>
<p id="P1">There is no scientific information regarding the selection of the color of teeth for edentulous patients.</p>
</sec>
<sec id="S2">
<title>Purpose</title>
<p id="P2">The purpose of this study was to evaluate linear regression models that may be used to predict color parameters for central incisors of edentulous patients based on some characteristics of dentate subjects.</p>
</sec>
<sec sec-type="materials|methods" id="S3">
<title>Material and methods</title>
<p id="P3">A spectroradiometer and an external light source were set in a noncontacting 45/0 degree (45-degree illumination and 0-degree observer) optical configuration to measure the color of subjects’ vital craniofacial structures (maxillary central incisor, attached gingiva, and facial skin). The subjects (n=120) were stratified into 5 age groups with 4 racial groups and balanced for gender. Linear first-order regression was used to determine the significant factors (α=.05) in the prediction model for each color direction of the color of the maxillary central incisor. Age, gender, and color of the other craniofacial structures were studied as potential predictors. Final predictions in each color direction were based only on the statistically significant factors, and then the color differences between observed and predicted CIELAB values for the central incisors were calculated and summarized.</p>
</sec>
<sec id="S4">
<title>Results</title>
<p id="P4">The statistically significant predictors of age and gender accounted for 36% of the total variability in L*. The statistically significant predictor of age accounted for 16% of the total variability in a*. The statistically significant predictors of age and gender accounted for 21% of the variability in b*. The mean ΔE (SD) between predicted and observed CIELAB values for the central incisor was 5.8 (3.2).</p>
</sec>
<sec id="S5">
<title>Conclusions</title>
<p id="P5">Age and gender were found to be statistically significant determinants in predicting the natural color of central incisors. Although the precision of these predictions was less than the median color difference found for all pairs of teeth studied, and may be considered an acceptable precision, further study is needed to reduce this precision to the limit of detection.</p>
<boxed-text id="BX1" position="float">
<p id="P6">Clinical Implications</p>
<p id="P7">Age is highly correlated with the natural color of the central incisors. When age increases, the central incisor becomes darker, more reddish, and more yellow. Also, the women subjects in this study had lighter and less yellow central incisors than the men.</p>
</boxed-text>
</sec>
</abstract>
<contract-num rid="EY1">R15 EY013527-01A1</contract-num>
<contract-sponsor id="EY1">National Eye Institute : NEI</contract-sponsor>
</article-meta>
</front>
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