Sex estimation from dimensions of the fourth lumbar vertebra in Northern Finns of 20, 30, and 46 years of age

Oura, Petteri; Karppinen, Jaro; Niinimäki, Jaakko; Junno, Juho‐Antti

doi:10.1016/j.forsciint.2018.07.011

Cited by 19 publications

(26 citation statements)

References 31 publications

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“…In our study, it is seen that the standard deviations in the measurements of males are generally larger than the standard deviations of females. A similar situation has also been reported in previous studies examining the lumbar vertebrae [12][13].…”

Section: Discussionsupporting

confidence: 89%

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Virtual Morphometry of the First Lumbar Vertebrae for Estimation of Sex Using Computed Tomography Data in the Turkish Population

Bozdağ¹,

Karaman²

2021

Cureus

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Section: Discussionsupporting

confidence: 89%

“…Today, many parts of the adult skeleton are used for sex estimation [3]. Studies on the vertebral column have also shown that the vertebrae demonstrate sexual dimorphic features [6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Virtual Morphometry of the First Lumbar Vertebrae for Estimation of Sex Using Computed Tomography Data in the Turkish Population

Bozdağ¹,

Karaman²

2021

Cureus

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“…We also calculated the sum of the six original measurements, together with the cross-sectional area (CSA = π x (mean width/2) x (mean depth/2)) and volume (V = π x (mean width/2) x (mean depth/2) x (mean height)) of the L4 body (24). We chose L4 because 1) it was most likely to be included within the MRI scanning range, thus being most often measurable, 2) it represents the other lumbar vertebrae well (9,22), and 3) it has been commonly used in previous studies (23,(25)(26)(27)(28)(29)(30).…”

Section: Dimensions Of L4mentioning

confidence: 99%

Estimation of stature from dimensions of the fourth lumbar vertebra in contemporary middle-aged Finns

Oura

Korpinen

Niinimäki

et al. 2018

Forensic Science International

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 We present L4-based stature estimation equations for Northern Finns  In the pooled-sex sample, the most accurate equation yielded an error of 5.635 cm  Among men and women, the lowest errors were 5.125 and 4.640 cm, respectively  We suggest that L4 dimensions may be used to estimate stature relatively accurately ABSTRACT Background: Accurate stature estimation plays an essential role in the identification of unknown deceased individuals. For cases in which conventional methods of stature estimation are not applicable, we studied the stature estimation potential of the fourth lumbar vertebra (L4) among a large living sample of

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“…Sex determination studies have developed different techniques utilizing every part of the skeletal system with differing accuracy rates. [4][5][6] Sexual dimorphism of human skeletal causes different growth and development patterns between males and females, including hormonal differences. Males have a larger and more robust musculoskeletal system than females, resulting in bone length, bone mineral density, and microstructure differences.…”

Section: Introductionmentioning

confidence: 99%

Deep learning and morphometric approach for Sex determination of the lumbar vertebrae in a Thai population

et al. 2022

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Sex determination is a fundamental step in biological profile estimation from skeletal remains in forensic anthropology. This study proposes deep learning and morphometric technique to perform sex determination from lumbar vertebrae in a Thai population. A total of 1100 lumbar vertebrae (L1-L5) from 220 Thai individuals (110 males and 110 females) were obtained from the Forensic Osteology Research Center, Faculty of Medicine, Chiang Mai University, Thailand. In addition, two linear measurements of superior and inferior endplates from the digital caliper and image analysis were carried out for morphometric technique. Deep learning applied image classification to the superior and inferior endplates of the lumbar vertebral body. All lumbar vertebrae images are included in the dataset to increase the number of images per class. The accuracy determined the performance of each technique. The results showed the accuracies of 82.7%, 90.0%, and 92.5% for digital caliper, image analysis, and deep learning techniques, respectively. The lumbar vertebrae L1-L5 exhibit sexual dimorphism and can be used in sex estimation. Deep learning is more accurate in determining sex than the morphometric method. In addition, the subjectivity and errors in the measurement are decreased. Finally, this study presented an alternative approach to determining sex from lumbar vertebrae when the more traditionally used skeletal elements are incomplete or absent.

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Sex estimation from dimensions of the fourth lumbar vertebra in Northern Finns of 20, 30, and 46 years of age

Abstract: Among 20-, 30-, and 46year-old Finns, combining the measurements of width, depth, and height of the L4 body can be used to estimate sex with an accuracy of >80%. Vertebral width, depth, and height seem to yield as accurate sex estimates as more complicated vertebral parameters.

Cited by 19 publications

References 31 publications

Virtual Morphometry of the First Lumbar Vertebrae for Estimation of Sex Using Computed Tomography Data in the Turkish Population

Virtual Morphometry of the First Lumbar Vertebrae for Estimation of Sex Using Computed Tomography Data in the Turkish Population

Estimation of stature from dimensions of the fourth lumbar vertebra in contemporary middle-aged Finns

Deep learning and morphometric approach for Sex determination of the lumbar vertebrae in a Thai population

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