Role of dental pulp in age estimation:A quantitative and morphometric study
Context: This study was designed to characterize the role of the dental pulp (DP) in age estimation. Aim: The analysis of age-related quantifiable changes in DP components such as odontoblasts, collagen fibers, and blood vessels. Subjects and Methods: One hundred and twenty extracted teeth from six...
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| Veröffentlicht in: | Journal of forensic dental sciences 2019-05, Vol.11 (2), p.95-102 |
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| creator | Baker, Anjum Karpagaselvi, K Kumaraswamy, Jayalakshmi Ranjini, M Gowher, Jabeen |
| description | Context: This study was designed to characterize the role of the dental pulp (DP) in age estimation. Aim: The analysis of age-related quantifiable changes in DP components such as odontoblasts, collagen fibers, and blood vessels. Subjects and Methods: One hundred and twenty extracted teeth from six age groups (20-30 years, 31-40 years, 41-50 years, 51-60 years, 61-70 years, and 71-80 years) were subjected to decalcification and routine histopathological processing followed by Hematoxylin and Eosin and Picrosirius Red staining. Evaluation of the number of odontoblasts, mean vessel area (MVA), mean vessel diameter (MVD), and collagen fiber thickness were done. Statistical Analysis Used: ANOVA test, Fisher's test, and Regression Analysis. Results: Reduction in the number of odontoblasts/mm of pulp-dentinal border, MVA, and MVD were seen with advancing age. Rise in collagen fiber thickness was noted with increasing age. All parameters showed strongly statistically significant differences between age groups with P = 0.001 (ANOVA test). Conclusions: Regression formulae derived for age estimation based on data collected demonstrated linear correlation with age. Collagen fiber thickness had the highest accuracy followed by odontoblast numbers and MVA. MVD was the least accurate among the factors considered. However, the highest accuracy of 90.9% was seen when all parameters were incorporated together in a single equation. |
| doi_str_mv | 10.4103/jfo.jfds_57_19 |
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Aim: The analysis of age-related quantifiable changes in DP components such as odontoblasts, collagen fibers, and blood vessels. Subjects and Methods: One hundred and twenty extracted teeth from six age groups (20-30 years, 31-40 years, 41-50 years, 51-60 years, 61-70 years, and 71-80 years) were subjected to decalcification and routine histopathological processing followed by Hematoxylin and Eosin and Picrosirius Red staining. Evaluation of the number of odontoblasts, mean vessel area (MVA), mean vessel diameter (MVD), and collagen fiber thickness were done. Statistical Analysis Used: ANOVA test, Fisher's test, and Regression Analysis. Results: Reduction in the number of odontoblasts/mm of pulp-dentinal border, MVA, and MVD were seen with advancing age. Rise in collagen fiber thickness was noted with increasing age. All parameters showed strongly statistically significant differences between age groups with P = 0.001 (ANOVA test). Conclusions: Regression formulae derived for age estimation based on data collected demonstrated linear correlation with age. Collagen fiber thickness had the highest accuracy followed by odontoblast numbers and MVA. MVD was the least accurate among the factors considered. However, the highest accuracy of 90.9% was seen when all parameters were incorporated together in a single equation.</description><identifier>ISSN: 0975-1475</identifier><identifier>EISSN: 0975-2137</identifier><identifier>DOI: 10.4103/jfo.jfds_57_19</identifier><identifier>PMID: 32082045</identifier><language>eng</language><publisher>India: Wolters Kluwer India Pvt. Ltd</publisher><subject>Age groups ; Aging ; Blood vessels ; Chronology ; Collagen ; Dental pulp ; Diameters ; Drinking water ; Fibroblasts ; Forensic odontology ; Odontology ; Original ; Parameters ; Regression analysis ; Statistical analysis ; Teeth ; Thickness ; Variance analysis</subject><ispartof>Journal of forensic dental sciences, 2019-05, Vol.11 (2), p.95-102</ispartof><rights>Copyright: © 2020 Journal of Forensic Dental Sciences.</rights><rights>2019. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright: © 2020 Journal of Forensic Dental Sciences 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346i-b15d953be5e0fa50847ce06098c7cea84a59be46294844b8dc4e159fbfc8f5ca3</citedby><cites>FETCH-LOGICAL-c346i-b15d953be5e0fa50847ce06098c7cea84a59be46294844b8dc4e159fbfc8f5ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006301/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006301/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32082045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baker, Anjum</creatorcontrib><creatorcontrib>Karpagaselvi, K</creatorcontrib><creatorcontrib>Kumaraswamy, Jayalakshmi</creatorcontrib><creatorcontrib>Ranjini, M</creatorcontrib><creatorcontrib>Gowher, Jabeen</creatorcontrib><title>Role of dental pulp in age estimation:A quantitative and morphometric study</title><title>Journal of forensic dental sciences</title><addtitle>J Forensic Dent Sci</addtitle><description>Context: This study was designed to characterize the role of the dental pulp (DP) in age estimation. Aim: The analysis of age-related quantifiable changes in DP components such as odontoblasts, collagen fibers, and blood vessels. Subjects and Methods: One hundred and twenty extracted teeth from six age groups (20-30 years, 31-40 years, 41-50 years, 51-60 years, 61-70 years, and 71-80 years) were subjected to decalcification and routine histopathological processing followed by Hematoxylin and Eosin and Picrosirius Red staining. Evaluation of the number of odontoblasts, mean vessel area (MVA), mean vessel diameter (MVD), and collagen fiber thickness were done. Statistical Analysis Used: ANOVA test, Fisher's test, and Regression Analysis. Results: Reduction in the number of odontoblasts/mm of pulp-dentinal border, MVA, and MVD were seen with advancing age. Rise in collagen fiber thickness was noted with increasing age. All parameters showed strongly statistically significant differences between age groups with P = 0.001 (ANOVA test). Conclusions: Regression formulae derived for age estimation based on data collected demonstrated linear correlation with age. Collagen fiber thickness had the highest accuracy followed by odontoblast numbers and MVA. MVD was the least accurate among the factors considered. However, the highest accuracy of 90.9% was seen when all parameters were incorporated together in a single equation.</description><subject>Age groups</subject><subject>Aging</subject><subject>Blood vessels</subject><subject>Chronology</subject><subject>Collagen</subject><subject>Dental pulp</subject><subject>Diameters</subject><subject>Drinking water</subject><subject>Fibroblasts</subject><subject>Forensic odontology</subject><subject>Odontology</subject><subject>Original</subject><subject>Parameters</subject><subject>Regression analysis</subject><subject>Statistical analysis</subject><subject>Teeth</subject><subject>Thickness</subject><subject>Variance analysis</subject><issn>0975-1475</issn><issn>0975-2137</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kU1r3DAQhk1paUKaa49F0Esvu5UsybZ6KISQftBAobSXXgZZHiXayJIj2Vny76tlN-kHVBfNoEcvMzxV9ZLRtWCUv93YuN7YIYNsgakn1TFVrVzVjLdPDzUTrTyqTnPe0HK4qtuGPa-OeE27mgp5XH35Fj2SaMmAYdaeTIufiAtEXyHBPLtRzy6Gd2fkdtFhdnNp75DoMJAxpuk6jjgnZ0iel-H-RfXMap_x9HCfVD8-XHw__7S6_Prx8_nZ5cpw0bhVz-SgJO9RIrVa0k60BmlDVWdKoTuhpepRNLUSnRB9NxiBTCrbW9NZaTQ_qd7vc6elH3EwZfKkPUypTJvuIWoHf78Edw1X8Q5aShtOWQl4cwhI8XYpa8LoskHvdcC4ZKh5UzMqlWoK-vofdBOXFMp6hRId40IxXqj1njIp5pzQPg7DKOxUQVEFv1WVD6_-XOERfxBTgJ97YBv9jCnf-GWLCQp7E-L2P7GgJOx8QrSw9wk7n-ACFJ_w4JP_AuUjs_8</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Baker, Anjum</creator><creator>Karpagaselvi, K</creator><creator>Kumaraswamy, Jayalakshmi</creator><creator>Ranjini, M</creator><creator>Gowher, Jabeen</creator><general>Wolters Kluwer India Pvt. 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Karpagaselvi, K ; Kumaraswamy, Jayalakshmi ; Ranjini, M ; Gowher, Jabeen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346i-b15d953be5e0fa50847ce06098c7cea84a59be46294844b8dc4e159fbfc8f5ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age groups</topic><topic>Aging</topic><topic>Blood vessels</topic><topic>Chronology</topic><topic>Collagen</topic><topic>Dental pulp</topic><topic>Diameters</topic><topic>Drinking water</topic><topic>Fibroblasts</topic><topic>Forensic odontology</topic><topic>Odontology</topic><topic>Original</topic><topic>Parameters</topic><topic>Regression analysis</topic><topic>Statistical analysis</topic><topic>Teeth</topic><topic>Thickness</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baker, Anjum</creatorcontrib><creatorcontrib>Karpagaselvi, K</creatorcontrib><creatorcontrib>Kumaraswamy, Jayalakshmi</creatorcontrib><creatorcontrib>Ranjini, M</creatorcontrib><creatorcontrib>Gowher, Jabeen</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Criminology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Criminal Justice Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of forensic dental sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baker, Anjum</au><au>Karpagaselvi, K</au><au>Kumaraswamy, Jayalakshmi</au><au>Ranjini, M</au><au>Gowher, Jabeen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of dental pulp in age estimation:A quantitative and morphometric study</atitle><jtitle>Journal of forensic dental sciences</jtitle><addtitle>J Forensic Dent Sci</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>11</volume><issue>2</issue><spage>95</spage><epage>102</epage><pages>95-102</pages><issn>0975-1475</issn><eissn>0975-2137</eissn><abstract>Context: This study was designed to characterize the role of the dental pulp (DP) in age estimation. Aim: The analysis of age-related quantifiable changes in DP components such as odontoblasts, collagen fibers, and blood vessels. Subjects and Methods: One hundred and twenty extracted teeth from six age groups (20-30 years, 31-40 years, 41-50 years, 51-60 years, 61-70 years, and 71-80 years) were subjected to decalcification and routine histopathological processing followed by Hematoxylin and Eosin and Picrosirius Red staining. Evaluation of the number of odontoblasts, mean vessel area (MVA), mean vessel diameter (MVD), and collagen fiber thickness were done. Statistical Analysis Used: ANOVA test, Fisher's test, and Regression Analysis. Results: Reduction in the number of odontoblasts/mm of pulp-dentinal border, MVA, and MVD were seen with advancing age. Rise in collagen fiber thickness was noted with increasing age. All parameters showed strongly statistically significant differences between age groups with P = 0.001 (ANOVA test). Conclusions: Regression formulae derived for age estimation based on data collected demonstrated linear correlation with age. Collagen fiber thickness had the highest accuracy followed by odontoblast numbers and MVA. MVD was the least accurate among the factors considered. However, the highest accuracy of 90.9% was seen when all parameters were incorporated together in a single equation.</abstract><cop>India</cop><pub>Wolters Kluwer India Pvt. Ltd</pub><pmid>32082045</pmid><doi>10.4103/jfo.jfds_57_19</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Age groups Aging Blood vessels Chronology Collagen Dental pulp Diameters Drinking water Fibroblasts Forensic odontology Odontology Original Parameters Regression analysis Statistical analysis Teeth Thickness Variance analysis |
| title | Role of dental pulp in age estimation:A quantitative and morphometric study |
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