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Walker's traits for sex estimation in modern Croatian population using MSCT virtual cranial database: Validation and development of population-specific standards
•Walker's traits showed sexual dimorphism in the Croatian population.•Differences in traits expression were observed between two Croatian regions.•Accuracy of original method was 62–70 %, with pronounced sexing bias.•We developed population specific equations with accuracy 62.5–86.25 %.•We crea...
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Published in: | Forensic imaging (Online) 2024-03, Vol.36, p.200578, Article 200578 |
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creator | Bareša, Tina Jerković, Ivan Bašić, Željana Jerković, Nika Dolić, Krešimir Dujić, Goran Borić, Marija Ćavar Mršić, Danijela Budimir Krešić, Elvira Čavka, Mislav Kružić, Ivana |
description | •Walker's traits showed sexual dimorphism in the Croatian population.•Differences in traits expression were observed between two Croatian regions.•Accuracy of original method was 62–70 %, with pronounced sexing bias.•We developed population specific equations with accuracy 62.5–86.25 %.•We created on-line dash app CroWalker (https://crowalker-rvhw.onrender.com/).
The present study aimed to test the applicability of Walker`s method in the Croatian population by using multi-slice computed tomography (MSCT) scans of a head from the University hospitals (UHC) in Split and Zagreb. Cranial morphological traits (nuchal crest, mastoid process, supraorbital edge, and glabella) were scored from images of 280 adult patients with balanced distribution according to sex and geographical region. Differences between Split and Zagreb samples were visible through principal component analysis (PCA) with Split individuals being more robust, that also reflected in specific differences in trait expression like mastoid process (P = 0.001) and supraorbital edge (P = 0.003) in male samples. Original equations did not perform well in our population, with accuracy ranging from 62 % to 70 % with low accuracy in females (48 % - 56 %). We developed 15 population-specific equations that comprised all possible combinations with single or multiple variables. The best performing equation was the one that included glabella and mastoid process that showed the least interregional variabilities and achieved accuracy of 86.25 %. To enable a direct application of equations developed we provided on-line app called CroWalker, available at: https://crowalker-rvhw.onrender.com/.
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doi_str_mv | 10.1016/j.fri.2024.200578 |
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The present study aimed to test the applicability of Walker`s method in the Croatian population by using multi-slice computed tomography (MSCT) scans of a head from the University hospitals (UHC) in Split and Zagreb. Cranial morphological traits (nuchal crest, mastoid process, supraorbital edge, and glabella) were scored from images of 280 adult patients with balanced distribution according to sex and geographical region. Differences between Split and Zagreb samples were visible through principal component analysis (PCA) with Split individuals being more robust, that also reflected in specific differences in trait expression like mastoid process (P = 0.001) and supraorbital edge (P = 0.003) in male samples. Original equations did not perform well in our population, with accuracy ranging from 62 % to 70 % with low accuracy in females (48 % - 56 %). We developed 15 population-specific equations that comprised all possible combinations with single or multiple variables. The best performing equation was the one that included glabella and mastoid process that showed the least interregional variabilities and achieved accuracy of 86.25 %. To enable a direct application of equations developed we provided on-line app called CroWalker, available at: https://crowalker-rvhw.onrender.com/.
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The present study aimed to test the applicability of Walker`s method in the Croatian population by using multi-slice computed tomography (MSCT) scans of a head from the University hospitals (UHC) in Split and Zagreb. Cranial morphological traits (nuchal crest, mastoid process, supraorbital edge, and glabella) were scored from images of 280 adult patients with balanced distribution according to sex and geographical region. Differences between Split and Zagreb samples were visible through principal component analysis (PCA) with Split individuals being more robust, that also reflected in specific differences in trait expression like mastoid process (P = 0.001) and supraorbital edge (P = 0.003) in male samples. Original equations did not perform well in our population, with accuracy ranging from 62 % to 70 % with low accuracy in females (48 % - 56 %). We developed 15 population-specific equations that comprised all possible combinations with single or multiple variables. The best performing equation was the one that included glabella and mastoid process that showed the least interregional variabilities and achieved accuracy of 86.25 %. To enable a direct application of equations developed we provided on-line app called CroWalker, available at: https://crowalker-rvhw.onrender.com/.
[Display omitted]</description><subject>Croatian population</subject><subject>CroWalker app</subject><subject>MSCT</subject><subject>Sex estimation</subject><subject>Walker`s method</subject><issn>2666-2256</issn><issn>2666-2256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUhiMEElXpA7B5Y0qxnUtjmFDFTSpioMBondonyCW1I9ut4HF4U1yFoRPLuf-_jr4sO2d0yiirL9fT1pspp7xMgVaz5igb8bquc86r-vigPs0mIawppbxirGrKUfbzDt0n-otAogcTA2mdJwG_CIZoNhCNs8RYsnEavSVz79IILOldv-2G7TYY-0GeXuZLsjM-bqEjyoM1KWuIsIKAV-QNOqOHe7CaaNxh5_oN2khce-CWhx6VaY0iIaZD8DqcZSctdAEnf3mcvd7dLucP-eL5_nF-s8gVF7OYV6VQs5ozYGwmyqKCUrRCNWWTOlUXAmlTNwWv2gpWolCiZE3DtBIrLArQJS3GGRt8lXcheGxl7xMB_y0ZlXvMci0TZrnHLAfMSXM9aDA9tjPoZVAGrUJtPKootTP_qH8Bw6WISw</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Bareša, Tina</creator><creator>Jerković, Ivan</creator><creator>Bašić, Željana</creator><creator>Jerković, Nika</creator><creator>Dolić, Krešimir</creator><creator>Dujić, Goran</creator><creator>Borić, Marija Ćavar</creator><creator>Mršić, Danijela Budimir</creator><creator>Krešić, Elvira</creator><creator>Čavka, Mislav</creator><creator>Kružić, Ivana</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202403</creationdate><title>Walker's traits for sex estimation in modern Croatian population using MSCT virtual cranial database: Validation and development of population-specific standards</title><author>Bareša, Tina ; Jerković, Ivan ; Bašić, Željana ; Jerković, Nika ; Dolić, Krešimir ; Dujić, Goran ; Borić, Marija Ćavar ; Mršić, Danijela Budimir ; Krešić, Elvira ; Čavka, Mislav ; Kružić, Ivana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-549c7621a1179435a49f9c848794c639e0868325f5ab93c941881dc9be33ad403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Croatian population</topic><topic>CroWalker app</topic><topic>MSCT</topic><topic>Sex estimation</topic><topic>Walker`s method</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bareša, Tina</creatorcontrib><creatorcontrib>Jerković, Ivan</creatorcontrib><creatorcontrib>Bašić, Željana</creatorcontrib><creatorcontrib>Jerković, Nika</creatorcontrib><creatorcontrib>Dolić, Krešimir</creatorcontrib><creatorcontrib>Dujić, Goran</creatorcontrib><creatorcontrib>Borić, Marija Ćavar</creatorcontrib><creatorcontrib>Mršić, Danijela Budimir</creatorcontrib><creatorcontrib>Krešić, Elvira</creatorcontrib><creatorcontrib>Čavka, Mislav</creatorcontrib><creatorcontrib>Kružić, Ivana</creatorcontrib><collection>CrossRef</collection><jtitle>Forensic imaging (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bareša, Tina</au><au>Jerković, Ivan</au><au>Bašić, Željana</au><au>Jerković, Nika</au><au>Dolić, Krešimir</au><au>Dujić, Goran</au><au>Borić, Marija Ćavar</au><au>Mršić, Danijela Budimir</au><au>Krešić, Elvira</au><au>Čavka, Mislav</au><au>Kružić, Ivana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Walker's traits for sex estimation in modern Croatian population using MSCT virtual cranial database: Validation and development of population-specific standards</atitle><jtitle>Forensic imaging (Online)</jtitle><date>2024-03</date><risdate>2024</risdate><volume>36</volume><spage>200578</spage><pages>200578-</pages><artnum>200578</artnum><issn>2666-2256</issn><eissn>2666-2256</eissn><abstract>•Walker's traits showed sexual dimorphism in the Croatian population.•Differences in traits expression were observed between two Croatian regions.•Accuracy of original method was 62–70 %, with pronounced sexing bias.•We developed population specific equations with accuracy 62.5–86.25 %.•We created on-line dash app CroWalker (https://crowalker-rvhw.onrender.com/).
The present study aimed to test the applicability of Walker`s method in the Croatian population by using multi-slice computed tomography (MSCT) scans of a head from the University hospitals (UHC) in Split and Zagreb. Cranial morphological traits (nuchal crest, mastoid process, supraorbital edge, and glabella) were scored from images of 280 adult patients with balanced distribution according to sex and geographical region. Differences between Split and Zagreb samples were visible through principal component analysis (PCA) with Split individuals being more robust, that also reflected in specific differences in trait expression like mastoid process (P = 0.001) and supraorbital edge (P = 0.003) in male samples. Original equations did not perform well in our population, with accuracy ranging from 62 % to 70 % with low accuracy in females (48 % - 56 %). We developed 15 population-specific equations that comprised all possible combinations with single or multiple variables. The best performing equation was the one that included glabella and mastoid process that showed the least interregional variabilities and achieved accuracy of 86.25 %. To enable a direct application of equations developed we provided on-line app called CroWalker, available at: https://crowalker-rvhw.onrender.com/.
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subjects | Croatian population CroWalker app MSCT Sex estimation Walker`s method |
title | Walker's traits for sex estimation in modern Croatian population using MSCT virtual cranial database: Validation and development of population-specific standards |
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