-
Something wrong with this record ?
Automatic variable extraction from 3D coxal bone models for sex estimation using the DSP2 method
M. Kuchař, A. Pilmann Kotěrová, A. Morávek, F. Santos, K. Harnádková, P. Henyš, E. Cunha, J. Brůžek
Language English Country Germany
Document type Journal Article
NLK
ProQuest Central
from 1997-02-01 to 1 year ago
Medline Complete (EBSCOhost)
from 2009-07-01 to 1 year ago
Health & Medicine (ProQuest)
from 1997-02-01 to 1 year ago
- MeSH
- Algorithms * MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Pelvic Bones * diagnostic imaging MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Forensic Anthropology * methods MeSH
- Sex Determination by Skeleton * methods MeSH
- Imaging, Three-Dimensional * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Portugal MeSH
Thanks to technical progress and the availability of virtual data, sex estimation methods as part of a biological profile are undergoing an inevitable evolution. Further reductions in subjectivity, but potentially also in measurement errors, can be brought by approaches that automate the extraction of variables. Such automatization also significantly accelerates and facilitates the specialist's work. The aim of this study is (1) to apply a previously proposed algorithm (Kuchař et al. 2021) to automatically extract 10 variables used for the DSP2 sex estimation method, and (2) to test the robustness of the new automatic approach in a current heterogeneous population. For the first aim, we used a sample of 240 3D scans of pelvic bones from the same individuals, which were measured manually for the DSP database. For the second aim a sample of 108 pelvic bones from the New Mexico Decedent Image Database was used. The results showed high agreement between automatic and manual measurements with rTEM below 5% for all dimensions except two. The accuracy of final sex estimates based on all 10 variables was excellent (error rate 0.3%). However, we observed a higher number of undetermined individuals in the Portuguese sample (25% of males) and the New Mexican sample (36.5% of females). In conclusion, the procedure for automatic dimension extraction was successfully applied both to a different type of data and to a heterogeneous population.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc25003708
- 003
- CZ-PrNML
- 005
- 20250206104631.0
- 007
- ta
- 008
- 250121s2024 gw f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s00414-024-03301-4 $2 doi
- 035 __
- $a (PubMed)39102091
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a gw
- 100 1_
- $a Kuchař, Michal $u Department of Anatomy, Faculty of Medicine in Hradec Králové, Charles University, Šimkova, 870, Hradec Králové, 500 03, Czech Republic $1 https://orcid.org/0000000249221037
- 245 10
- $a Automatic variable extraction from 3D coxal bone models for sex estimation using the DSP2 method / $c M. Kuchař, A. Pilmann Kotěrová, A. Morávek, F. Santos, K. Harnádková, P. Henyš, E. Cunha, J. Brůžek
- 520 9_
- $a Thanks to technical progress and the availability of virtual data, sex estimation methods as part of a biological profile are undergoing an inevitable evolution. Further reductions in subjectivity, but potentially also in measurement errors, can be brought by approaches that automate the extraction of variables. Such automatization also significantly accelerates and facilitates the specialist's work. The aim of this study is (1) to apply a previously proposed algorithm (Kuchař et al. 2021) to automatically extract 10 variables used for the DSP2 sex estimation method, and (2) to test the robustness of the new automatic approach in a current heterogeneous population. For the first aim, we used a sample of 240 3D scans of pelvic bones from the same individuals, which were measured manually for the DSP database. For the second aim a sample of 108 pelvic bones from the New Mexico Decedent Image Database was used. The results showed high agreement between automatic and manual measurements with rTEM below 5% for all dimensions except two. The accuracy of final sex estimates based on all 10 variables was excellent (error rate 0.3%). However, we observed a higher number of undetermined individuals in the Portuguese sample (25% of males) and the New Mexican sample (36.5% of females). In conclusion, the procedure for automatic dimension extraction was successfully applied both to a different type of data and to a heterogeneous population.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a určení pohlaví podle kostry $x metody $7 D054881
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 12
- $a pánevní kosti $x diagnostické zobrazování $7 D010384
- 650 12
- $a algoritmy $7 D000465
- 650 12
- $a zobrazování trojrozměrné $7 D021621
- 650 12
- $a soudní antropologie $x metody $7 D018732
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a mladý dospělý $7 D055815
- 650 _2
- $a senioři nad 80 let $7 D000369
- 651 _2
- $a Portugalsko $7 D011174
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Pilmann Kotěrová, Anežka $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, Prague 2, 128 44, Czech Republic $1 https://orcid.org/000000015500244X
- 700 1_
- $a Morávek, Alexander $u Department of Anatomy, Faculty of Medicine in Hradec Králové, Charles University, Šimkova, 870, Hradec Králové, 500 03, Czech Republic $1 https://orcid.org/0000000322526719
- 700 1_
- $a Santos, Frédéric $u CNRS, Univ. Bordeaux, MCC - UMR 5199 PACEA. Bâtiment B8, Allée Geoffroy Saint Hilaire, Pessac Cedex, CS 50023, 33615, France $1 https://orcid.org/0000000314453871
- 700 1_
- $a Harnádková, Katarína $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, Prague 2, 128 44, Czech Republic $1 https://orcid.org/0000000334723680
- 700 1_
- $a Henyš, Petr $u Institute of New Technologies and Applied Informatics, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Studentská 1402/2, Liberec, 461 17, Czech Republic. petr.henys@tul.cz $1 https://orcid.org/0000000287000163 $7 mzk20181009964
- 700 1_
- $a Cunha, Eugénia $u Department of Life Sciences, Centre for Functional Ecology (CFE), Laboratory of Forensic Anthropology, University of Coimbra, Calçada Martim de Freitas, Coimbra, 3000-456, Portugal $u Instituto Nacional de Medicina Legal e Ciências Forenses, IP., Lisboa, Portugal $1 https://orcid.org/000000032998371X
- 700 1_
- $a Brůžek, Jaroslav $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7, Prague 2, 128 44, Czech Republic $u CNRS, Univ. Bordeaux, MCC - UMR 5199 PACEA. Bâtiment B8, Allée Geoffroy Saint Hilaire, Pessac Cedex, CS 50023, 33615, France $1 https://orcid.org/0000000272603543
- 773 0_
- $w MED00002337 $t International journal of legal medicine $x 1437-1596 $g Roč. 138, č. 6 (2024), s. 2647-2658
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/39102091 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20250121 $b ABA008
- 991 __
- $a 20250206104627 $b ABA008
- 999 __
- $a ok $b bmc $g 2263462 $s 1239715
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 138 $c 6 $d 2647-2658 $e 20240805 $i 1437-1596 $m International journal of legal medicine $n Int J Legal Med $x MED00002337
- LZP __
- $a Pubmed-20250121