Application and validation of Diagnose Sexuelle Probabiliste V2 tool in a miscegenated population

Machado, Marcos Paulo Salles; Costa, Sárah Teixeira; Freire, Alexandre Rodrigues; Navega, David; Cunha, Eugénia; Júnior, Eduardo Daruge; Prado, Felippe Bevilacqua; Rossi, Ana Cláudia

doi:10.1016/j.forsciint.2018.06.043

Cited by 16 publications

(18 citation statements)

References 12 publications

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“…SA was the only measure that did not present a statistically significant difference between the sexes (P = 0.0059), following the findings of Mestekova et al (2015). This result is also partially supported by Machado et al (2018), who did not find statistically significant differences between the sexes with measures SA and PUM.…”

Section: Resultssupporting

confidence: 65%

“…Only one error on sex classification was spotted among the entire sample (classified as female, and which was proven to be morphologically male), resulting in a low error rate (0.4%). The result was more satisfactory than the one found by Machado et al (2018), who had five (9.43%) pelvic bones misclassified as males and seven (14%) as females. The high precision rate in this study follows the ones presented by Murail et al (2005), who showed a precision between 98.7% to 99.63% and an error rate of <2%.…”

Section: Resultsmentioning

confidence: 53%

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Validation of the DSP2 Tool in a Contemporary Identified Skeletal Collection from Northeastern Brazil

Almeida¹,

Carvalho²,

Menezes³

et al. 2020

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The Diagnose Sexuelle Probabiliste v.2 (DSP2) is an accurate tool used for estimating the sex of an individual through the os coxae. The goal of this study was to verify the applicability of the DSP2 tool in a skeletal sample from Northeastern Brazil and to attest for its precision, accuracy, and reliability. The sample was composed of 301 os coxae from the Center for Studies in Forensic Anthropology of the College of Odontology from the University of Pernambuco, in Pernambuco, Brazil. The results reveal that it was possible to correctly estimate the sex of 83.7% of the total sample. The error rate was 0.4%, and the percentage of undetermined individuals varied according to the combination of measurements used. The results demonstrated a high index of accuracy and a low error rate, indicating that DSP2 is a reliable tool for sex estimation applied to this studied Brazilian population.

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Section: Resultssupporting

confidence: 65%

Section: Resultsmentioning

confidence: 53%

Validation of the DSP2 Tool in a Contemporary Identified Skeletal Collection from Northeastern Brazil

Almeida¹,

Carvalho²,

Menezes³

et al. 2020

Self Cite

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“…The software, based on Discriminant Function Analysis (DFA) was validated with a large sample of 623 individuals from United States and Switzerland and resulted in classifying up to 90% of the sample with over 95% probability of correct classification. The DSP method has been validated in other dry bones samples of known age and sex (for example in a Mexican [13], a Belgian [14], a French [15] and a Brasilian sample [16]. The DSP method has also been validated in 3D models of os coxae obtained from CT scans in living French population [17] and on 3D CT scans from modern Danish population [18].…”

Section: Introductionmentioning

confidence: 99%

Sex estimation of os coxae using DSP2 software: A validation study of a Greek sample

Kranioti

Šťovíčková

Karell

et al. 2019

Forensic Science International

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Sex estimation methods based on skeletal remains vary on the selection of skeletal element, data acquisition and statistical approach resulting in variable classification accuracies that are highly dependent on the sample population. The only exception of this rule seems is the os coxa that appears to differ consistently between males and females across the globe. Currently sex based on the os coxa can be easily by estimated taking ten measurements, input these in the DPS2 software and get a sex estimate and the probability of correct group assessment. The performance of the software is highly reliable as confirmed by a validation study by Brůžek and colleagues (2017). Yet, there are still many populations not represented in the reference sample used to develop the software. The current study aimed to validate DPS2 using a sample from Crete, Greece. A total of 133 os coxae were measured following instructions on DSP2. Data were used to estimate sex with the software and to create population specific formulae for the Greeks. DSP2 classified 117/133 (85.7%) of the sample with over 95% posterior probability (PP) of correct classification. Of the individuals classified with over 95% PP, only 3 were misclassified (2.6%).The best population specific formula only improved this percentage by 2.1% which indicates that DSP2 is a reliable tool for sex estimation in the Greek sample and it is recommended as method of choice in sex estimation of remains of unknown ancestry. If Greek ancestry is confirmed, population-specific formulae can be used in conjunction with DSP2 for a more reliable sex estimation.

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“…3 which shows the large difference in DCOX between males and females). Machado and colleagues (Machado et al, 2018) further detailed that the inaccuracies in their results of sex estimation using DSP were largely related to DCOX values (i.e. males with lower DCOX values being miscorrectly diagnosed as females and vice versa).…”

Section: Discussionmentioning

confidence: 99%

“…The method has recently been validated and proven to be highly effective on European ancient and modern human populations (Chapman et al, 2014;Jerković et al, 2018;Mestekova et al, 2015;Quatrehomme et al, 2017). A recent study also analysed DSP on a Brazilian identified population (Machado et al, 2018) which was outside the reference population. DSP was 100% effective in known sex European populations (Chapman et al, 2014;Mestekova et al, 2015;Quatrehomme et al, 2017), including an ancient population validated by aDNA analysis (Jerković et al, 2018) although the Brazilian population showed some misclassifications and only had a sex identification accuracy of 90.57% for males and 86% for females (although this varied according to which DSP variables were used).…”

Section: Introductionmentioning

confidence: 99%

Validating the probabilistic sex diagnosis (DSP) method with a special test case on Pre-Columbian mummies (including the famous Rascar Capac)

Chapman

Tilleux

Polet

et al. 2020

Journal of Archaeological Science: Reports

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Many museums have either one or more mummies in their collections. The Royal Museums of Art and History in Brussels is no exception and houses several Pre-Columbian mummies, including the one that inspired Hergé, author of the Tintin comics, to create the character of 'Rascar Capac'. The accurate identification of the sex of a particular mummy is important for testing hypotheses about social structures in ancient societies. Sexing of mummies is mostly based on visual analysis from CT and MRI scans and macroscopic examination from the skeletal tissue such as genitalia and breasts, although skeletal tissue is not always well preserved. Probabilistic Sex Diagnosis (DSP: Diagnose Sexuelle Probabiliste) is a sex estimation method which has recently proved to be highly effective on different modern human and ancient European populations. The aim of this study was to see if it was possible to apply and validate virtual DSP on a study of four ancient Pre-Columbian mummies from South America (which are outside the reference population of DSP). Virtual DSP was performed in the software 'lhpFusionBox'. All mummies were CT scanned, 3D models were created and virtual DSP was performed. Sex was determined with a probability of 99.9% or over in all cases (DSP determined one male and three females). Preserved skeletal tissue remains confirmed DSP results in half of the mummies. A Principal Components Analysis (PCA) was performed on the DSP results of the mummies and a modern human (MH) population. Half of the mummies were outside the 95% range of the DSP values of MH, largely due to their smaller size. When size was accounted for, they were within the MH range. The unknown sex mummies identified as females by DSP were found to be grouped with the known sex female mummy and the MH females. Similarly, the unknown sex mummy identified as male by DSP was also found to be grouped with MH males. The use of PCA analysis on DSP results is an effective tool to validate DSP results, even with individuals outside of the reference population. Despite differences in size from ancient to modern humans, DSP was found to be accurate and can be used with mummies and other ancient populations from different countries around the world.

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Application and validation of Diagnose Sexuelle Probabiliste V2 tool in a miscegenated population

Cited by 16 publications

References 12 publications

Validation of the DSP2 Tool in a Contemporary Identified Skeletal Collection from Northeastern Brazil

Validation of the DSP2 Tool in a Contemporary Identified Skeletal Collection from Northeastern Brazil

Sex estimation of os coxae using DSP2 software: A validation study of a Greek sample

Validating the probabilistic sex diagnosis (DSP) method with a special test case on Pre-Columbian mummies (including the famous Rascar Capac)

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