用数字方法比较无牙患者模拟死前和死后记录,评估腭纹模式对性别确定和个人识别的影响。

Q3 Medicine
Vaidehi V Vyas, Rashmi Gubbi, Dharmesh G Vasavada, Yashrajsingh R Rathod, Mehul Ojha
{"title":"用数字方法比较无牙患者模拟死前和死后记录,评估腭纹模式对性别确定和个人识别的影响。","authors":"Vaidehi V Vyas, Rashmi Gubbi, Dharmesh G Vasavada, Yashrajsingh R Rathod, Mehul Ojha","doi":"10.4103/jomfp.jomfp_212_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Palatal rugoscopy offers a potential solution for identifying victims with severely damaged remains. Unlike teeth, rugae remain stable, even in extreme conditions. This study focuses on edentulous individuals, a previously unexplored area, to assess the potential of digital rugae analysis for personal identification and gender determination.</p><p><strong>Materials and methods: </strong>This study involved 138 edentulous patients seeking dentures. Maxillary casts were created from both intraoral impressions (Set A) which simulated ante mortem record and denture tissue surfaces (Set B) which simulated post mortem record. Set A was digitally scanned using Medit extraoral scanner, while Set B was photographed. Rugae patterns were classified based on shape and unification by digital analysis for gender determination. For personal identification, the simulated ante mortem and post mortem record patterns were digitally matched using adobe photoshop by overlapping the images to assess personal identification accuracy. Examiners determined the gender of individuals based solely on their rugae patterns and derived a formula.</p><p><strong>Results: </strong>Palatal rugae analysis showed potential for gender determination and identification. Females had more curved rugae, while males had more wavy ones. Digital matching achieved high accuracy for gender prediction (96.03% sensitivity, 97.58% PPV). Rugae matching also showed promise for personal identification (95.97% sensitivity, 95.97% PPV).</p><p><strong>Conclusions: </strong>This study demonstrates that palatal rugae patterns, even in edentulous individuals, offer reliable indicators for both gender determination and personal identification. Digital analysis and matching techniques yielded high accuracy, highlighting their forensic applicability in scenarios with compromised remains.</p>","PeriodicalId":38846,"journal":{"name":"Journal of Oral and Maxillofacial Pathology","volume":"29 2","pages":"293-300"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12283037/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of palatal rugae pattern for gender determination and personal identification by comparing simulated antemortem and post mortem records in edentulous patients using a digital method.\",\"authors\":\"Vaidehi V Vyas, Rashmi Gubbi, Dharmesh G Vasavada, Yashrajsingh R Rathod, Mehul Ojha\",\"doi\":\"10.4103/jomfp.jomfp_212_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Palatal rugoscopy offers a potential solution for identifying victims with severely damaged remains. Unlike teeth, rugae remain stable, even in extreme conditions. This study focuses on edentulous individuals, a previously unexplored area, to assess the potential of digital rugae analysis for personal identification and gender determination.</p><p><strong>Materials and methods: </strong>This study involved 138 edentulous patients seeking dentures. Maxillary casts were created from both intraoral impressions (Set A) which simulated ante mortem record and denture tissue surfaces (Set B) which simulated post mortem record. Set A was digitally scanned using Medit extraoral scanner, while Set B was photographed. Rugae patterns were classified based on shape and unification by digital analysis for gender determination. For personal identification, the simulated ante mortem and post mortem record patterns were digitally matched using adobe photoshop by overlapping the images to assess personal identification accuracy. Examiners determined the gender of individuals based solely on their rugae patterns and derived a formula.</p><p><strong>Results: </strong>Palatal rugae analysis showed potential for gender determination and identification. Females had more curved rugae, while males had more wavy ones. Digital matching achieved high accuracy for gender prediction (96.03% sensitivity, 97.58% PPV). Rugae matching also showed promise for personal identification (95.97% sensitivity, 95.97% PPV).</p><p><strong>Conclusions: </strong>This study demonstrates that palatal rugae patterns, even in edentulous individuals, offer reliable indicators for both gender determination and personal identification. Digital analysis and matching techniques yielded high accuracy, highlighting their forensic applicability in scenarios with compromised remains.</p>\",\"PeriodicalId\":38846,\"journal\":{\"name\":\"Journal of Oral and Maxillofacial Pathology\",\"volume\":\"29 2\",\"pages\":\"293-300\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12283037/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Oral and Maxillofacial Pathology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/jomfp.jomfp_212_24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Oral and Maxillofacial Pathology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jomfp.jomfp_212_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/30 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

背景:腭镜检查提供了一个潜在的解决方案,以识别受害者严重受损的遗体。与牙齿不同的是,即使在极端条件下,rugae也能保持稳定。本研究侧重于无牙个体,这是一个以前未开发的领域,以评估数字rugae分析在个人识别和性别确定方面的潜力。材料与方法:本研究纳入138例寻求义齿的无牙患者。上颌铸型采用模拟死前记录的口内印(A组)和模拟死后记录的义齿组织表面(B组)。使用Medit口外扫描仪对A组进行数字扫描,对B组进行拍照。采用数字分析方法,根据图案的形状和统一性对图案进行分类,以确定性别。在个人身份识别方面,利用adobe photoshop对模拟的死前和死后记录模式进行数字匹配,通过重叠图像来评估个人身份识别的准确性。检查人员仅根据它们的条纹图案来确定个体的性别,并推导出一个公式。结果:腭纹分析显示了性别确定和鉴定的潜力。雌性有更多弯曲的条纹,而雄性有更多波浪状的。数字匹配获得了较高的性别预测准确率(灵敏度96.03%,PPV 97.58%)。Rugae匹配也显示出个人识别的希望(95.97%的灵敏度,95.97%的PPV)。结论:本研究表明,即使在无牙个体中,腭纹模式也为性别确定和个人识别提供了可靠的指标。数字分析和匹配技术产生了很高的准确性,突出了它们在遗体受损情况下的法医适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of palatal rugae pattern for gender determination and personal identification by comparing simulated antemortem and post mortem records in edentulous patients using a digital method.

Background: Palatal rugoscopy offers a potential solution for identifying victims with severely damaged remains. Unlike teeth, rugae remain stable, even in extreme conditions. This study focuses on edentulous individuals, a previously unexplored area, to assess the potential of digital rugae analysis for personal identification and gender determination.

Materials and methods: This study involved 138 edentulous patients seeking dentures. Maxillary casts were created from both intraoral impressions (Set A) which simulated ante mortem record and denture tissue surfaces (Set B) which simulated post mortem record. Set A was digitally scanned using Medit extraoral scanner, while Set B was photographed. Rugae patterns were classified based on shape and unification by digital analysis for gender determination. For personal identification, the simulated ante mortem and post mortem record patterns were digitally matched using adobe photoshop by overlapping the images to assess personal identification accuracy. Examiners determined the gender of individuals based solely on their rugae patterns and derived a formula.

Results: Palatal rugae analysis showed potential for gender determination and identification. Females had more curved rugae, while males had more wavy ones. Digital matching achieved high accuracy for gender prediction (96.03% sensitivity, 97.58% PPV). Rugae matching also showed promise for personal identification (95.97% sensitivity, 95.97% PPV).

Conclusions: This study demonstrates that palatal rugae patterns, even in edentulous individuals, offer reliable indicators for both gender determination and personal identification. Digital analysis and matching techniques yielded high accuracy, highlighting their forensic applicability in scenarios with compromised remains.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Oral and Maxillofacial Pathology
Journal of Oral and Maxillofacial Pathology Medicine-Otorhinolaryngology
CiteScore
1.40
自引率
0.00%
发文量
115
期刊介绍: The journal of Oral and Maxillofacial Pathology [ISSN:print-(0973-029X, online-1998-393X)] is a tri-annual journal published on behalf of “The Indian Association of Oral and Maxillofacial Pathologists” (IAOMP). The publication of JOMFP was started in the year 1993. The journal publishes papers on a wide spectrum of topics associated with the scope of Oral and Maxillofacial Pathology, also, ensuring scientific merit and quality. It is a comprehensive reading material for the professionals who want to upgrade their diagnostic skills in Oral Diseases; allows exposure to newer topics and methods of research in the Oral-facial Tissues and Pathology. New features allow an open minded thinking and approach to various pathologies. It also encourages authors to showcase quality work done by them and to compile relevant cases which are diagnostically challenging. The Journal takes pride in maintaining the quality of articles and photomicrographs.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信