Nívia Cristina Duran Gallassi, Stéfany de Lima Gomes, Viviane Ulbricht, Diana Maria Souza e Couto, João Sarmento Pereira Neto, L. F. Júnior
{"title":"Dimorfismo Sexual em Tomografias Cranianas e Volume Craniano","authors":"Nívia Cristina Duran Gallassi, Stéfany de Lima Gomes, Viviane Ulbricht, Diana Maria Souza e Couto, João Sarmento Pereira Neto, L. F. Júnior","doi":"10.17063/BJFS10(3)Y2021387-400","DOIUrl":null,"url":null,"abstract":"We sought to verify the sexual dimorphism in linear measurements in Computed Tomography (CT) and volumetric (of neurocranium). It also aimed to generate a logistic regression model to estimate sex. After approval by CEP CAAE n ° 54171916.0.0000.5418, the researcher's calibration was started, following the Intraclass Correlation analysis (ICC) according to Azklo and Nieto, in 2000. They were measured with the OnDemand3D® software and the measures: Glabela-Metalambda; Bregma-Basio and Eurio-Eurio (112 CT of men and 87 CT of women aged 22 to 80 years from the Osteological and Tomographic Biobank) and in the skulls from which the CTs were obtained, the internal volume of the neurocranium was determined using soybean seeds. In addition to the calculation of the Horizontal Cephalic Index and the Lateral Cephalic Index. After statistical analysis, it was found that all linear measurements on CTs and the assessment of intra-neurocranial volume are dimorphic. A logistic regression model called SEX 2019 = [-18.087+ (5.937xVC) + (- 0.076x (Br-Ba))] was also created. It was found that the method results in 80.4% sensitivity, 66.7% specificity and 74.4% accuracy, proving to be effective in predicting sex. The regression model obtained can be used as an auxiliary method and allows the estimation of sex.","PeriodicalId":9123,"journal":{"name":"Brazilian Journal of Forensic Sciences, Medical Law and Bioethics","volume":"60 1","pages":"387-400"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Journal of Forensic Sciences, Medical Law and Bioethics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17063/BJFS10(3)Y2021387-400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We sought to verify the sexual dimorphism in linear measurements in Computed Tomography (CT) and volumetric (of neurocranium). It also aimed to generate a logistic regression model to estimate sex. After approval by CEP CAAE n ° 54171916.0.0000.5418, the researcher's calibration was started, following the Intraclass Correlation analysis (ICC) according to Azklo and Nieto, in 2000. They were measured with the OnDemand3D® software and the measures: Glabela-Metalambda; Bregma-Basio and Eurio-Eurio (112 CT of men and 87 CT of women aged 22 to 80 years from the Osteological and Tomographic Biobank) and in the skulls from which the CTs were obtained, the internal volume of the neurocranium was determined using soybean seeds. In addition to the calculation of the Horizontal Cephalic Index and the Lateral Cephalic Index. After statistical analysis, it was found that all linear measurements on CTs and the assessment of intra-neurocranial volume are dimorphic. A logistic regression model called SEX 2019 = [-18.087+ (5.937xVC) + (- 0.076x (Br-Ba))] was also created. It was found that the method results in 80.4% sensitivity, 66.7% specificity and 74.4% accuracy, proving to be effective in predicting sex. The regression model obtained can be used as an auxiliary method and allows the estimation of sex.