Marta Barszcz, Elżbieta Badach, Krzysztof Jerzy Woźniak
{"title":"Cranial sutures as an age indicator: verification of the method using postmortem CT acquisition material.","authors":"Marta Barszcz, Elżbieta Badach, Krzysztof Jerzy Woźniak","doi":"10.1007/s00414-025-03504-3","DOIUrl":"https://doi.org/10.1007/s00414-025-03504-3","url":null,"abstract":"<p><p>Age estimation at the time of death is an integral part of forensic examination whenever unidentified human remains are discovered. In the case of adult remains the methods of age estimation are based mostly on the extent of age-related degenerative changes. The most controversial method makes use of cranial suture assessment. The purpose of this study was to verify whether assessment of cranial suture closure may be considered a useful and reliable method in forensic estimation of age at death. Postmortem computed tomography (PMCT) acquisitions of 114 male skulls were evaluated. Multiplanar reconstruction (MPR) to visualize the progress of suture closure in cross-sections was used. The inner and outer surfaces of each skull were visualized with the volume rendering technique (VRT). The coronal, sagittal, and lambdoid sutures were assessed with a suture closure scale introduced by Broca. Cranial suture assessment has been generally used for estimating age ranges, such as \"younger/older\", \"under about 30 years of age\", \"over 50 years of age\". Moreover, lambdoid suture closure is unrelated to age, except for its ectocranial part L3 on the left side. These observations indicate no major importance of this age estimation method in forensic anthropology.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144010048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gourav Ostwal, Pankaj Shrivastava, Kapil Verma, Shivani Dixit, R K Kumawat, Bhawana Joshi
{"title":"Genetic characterization of the Sikh population of Sri Ganganagar, Rajasthan, through forensically important STR markers.","authors":"Gourav Ostwal, Pankaj Shrivastava, Kapil Verma, Shivani Dixit, R K Kumawat, Bhawana Joshi","doi":"10.1007/s00414-025-03503-4","DOIUrl":"https://doi.org/10.1007/s00414-025-03503-4","url":null,"abstract":"<p><p>Short tandem repeat (STR) markers are well established as the gold standard and boon for forensic DNA applications. India is well known for its population diversity. Since several population genetic studies have been undertaken, more diverse populations need to be explored. In this study, we first evaluated randomly selected 297 unrelated individuals belonging to the sikh population of Sri Ganganagar Rajasthan through 24 autosomal STR loci included in the Ingenomics™ AutoProfiler STR Kit. A wide range of allelic diversity was observed, with a total effective allele count of 6-41 among all the studied loci. Allele 8 of the TPOX locus was the most frequent allele in the studied population, with a value of 0.444. Locus SE33 was found to be the most useful locus in the studied set of markers for the studied population, with the highest number of effective alleles (Ne = 41), highest value of power of discrimination (PD = 0.991), polymorphic information content (PIC = 17.82), typical paternity indexTPI = 6.75), power of exclusion (PE = 0.849), highest number of heterozygotes (92.59%), lowest value of matching probability (pm = 0.009) and lowest number of homozygotes (741%). All the tested loci were useful together with the highest value of the combined power of discrimination (CPD = 1), the combined power of exclusion (CPE = 1), the combined paternity index (CPI = 1.37 × 10<sup>10</sup>) and the lowest value of the combined matching probability (CPM = 6.53 × 10<sup>- 31</sup>). In the population comparison, the studied population showed genetic affinity with the populations of Rajasthan and Punjabi in Pakistan. This study used a population dataset for forensic DNA application and genetic studies.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Catarina Pinto, Sandra Marques, Maria Teresa Ferreira, Susana Garcia, Francisco Curate
{"title":"The estimation of biological sex through the radius and ulna in Portuguese reference skeletal samples.","authors":"Catarina Pinto, Sandra Marques, Maria Teresa Ferreira, Susana Garcia, Francisco Curate","doi":"10.1007/s00414-025-03507-0","DOIUrl":"https://doi.org/10.1007/s00414-025-03507-0","url":null,"abstract":"<p><p>Sex estimation is a critical step in the identification process of human skeletal remains, alongside age, stature and population affinities. The pelvis is the most dimorphic skeletal region but the long bones also provide good estimates of sex. This study aims to develop models for sex estimation using the ulna and radius in a pooled sample of 181 individuals (107 females, 74 males) from the Coimbra Identified Skeletal Collection and the 21st Century Identified Skeletal Collection. A metric approach was implemented for sex estimation based on these measurements, resulting in fifteen models generated through logistic regression that were subsequently tested in the Lisbon Identified Skeletal Collection (N = 107; 61 females, 55 males). The resulting models were contrived in an online responsive application ( https://vertigemdasespecies.shinyapps.io/RADIULNA/ ) designed to facilitate sex predictions. In general, the models present high accuracy and low sex-bias. Overall accuracies vary between 84.0% and 95.8% under cross-validation, and between 81.9% and 90.6% in the testing sample. Among the radius-only models, the 3R model (variables sagittal diameter of the head, head-tuberosity radial length and distal epiphysis width) presents the higher accuracy under cross-validation (94.7%), while the 4R model (same variables as 3R plus the circumference of the radial tuberosity) shows the best performance in the testing sample (90.6%). In the ulna, the model with higher cross-validated accuracy is the 4U model (variables maximum length, ulnar coronoid height and circumference at the midshaft), while the 2U model (variables maximum length and ulnar notch length) performs better in the testing set (89.8%).</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camila Costa, Carolina Figueiredo, Sandra Costa, Paulo Miguel Ferreira, António Amorim, Lourdes Prieto, Nádia Pinto
{"title":"The impact of considering different numbers of contributors in identification problems involving real casework mixture samples.","authors":"Camila Costa, Carolina Figueiredo, Sandra Costa, Paulo Miguel Ferreira, António Amorim, Lourdes Prieto, Nádia Pinto","doi":"10.1007/s00414-025-03500-7","DOIUrl":"https://doi.org/10.1007/s00414-025-03500-7","url":null,"abstract":"<p><p>Increasingly complex genetic samples are analyzed in forensic genetics routine, including mixtures to which more than one individual contributed. The standard problem relies on identification, aiming to quantify the likelihood of the donor of a reference sample being a contributor to the mixture. This is computed through a likelihood ratio (LR) and requires using devoted probabilistic genotyping software that may consider the quantity of the mixture's DNA (quantitative tools), beyond only the presence/absence of specific alleles (qualitative tools). In any case, the mixture's number of contributors (NoC) is a parameter that the user must introduce. Due to its nature, NoC is unknown for most real casework samples and needs to be estimated, which may be challenging due to poor DNA quality and quantity. This study aims to evaluate the impact of considering different NoC of real mixture samples (both over- and underestimating it after a first assessment of the expert) in identification problems through the pairwise comparison of LRs, using for the statistical assessment of both qualitative (LRmix Studio) and quantitative tools (EuroForMix and STRmix™). Different computational models showed different variations of the results, but for all, the impact was greater when considering a smaller NoC than the one initially estimated by the expert. Quantitative tools showed more sensitivity to NoC variation. Taking advantage of using real data, whose possible complexities surpass those of mock ones, this work highlights the impact that the NoC may have on the quantification of the proof, reinforcing the importance of its proper estimation.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A M López-Parra, S Bravo, M Lozano, C Gomes, S Palomo-Díez, E Arroyo-Pardo
{"title":"Assessment of DNA transfer and degradation in washing machines: forensic implications.","authors":"A M López-Parra, S Bravo, M Lozano, C Gomes, S Palomo-Díez, E Arroyo-Pardo","doi":"10.1007/s00414-025-03502-5","DOIUrl":"https://doi.org/10.1007/s00414-025-03502-5","url":null,"abstract":"<p><p>DNA transfer caused by the use of a washing machine is a topic of great importance in the forensic field, as it can have significant implications in collecting genetic evidence at crime scenes. Understanding DNA transfer during the washing process is important since this process can affect the accuracy and reliability of the recovered DNA samples. In this study, two experiments were carried out on 53 volunteers, one studied the transfer of touch DNA and the other studied the transfer of blood DNA. Fabrics were washed with clean acceptor fabric in a washing machine. Mixtures of alleles were obtained, especially in acceptor fabrics, partially matching with the profile of the corresponding volunteer. Complete profiles were not recovered in any case. The age of the volunteers, the type of sample, the small volume of blood, or the short contact with the piece of cloth seem to be factors to consider regarding the low recovery rate of the POI (person of interest) alleles. The presence of extra alleles and the low rate of recovered POI alleles, require the criteria for the interpretation of these profiles to be more restrictive. So, the profiles derived from clothes that have been washed in a washing machine in their interpretation should be considered as LTDNA (Low Template DNA) with the criteria used in the interpretation of mixtures.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discovery and comprehensive analysis of a congenital chimerism via paternity testing using short tandem repeat genotyping.","authors":"Hongyan Wu, Lin Zhang, Kejie Wang, Aiying Fan","doi":"10.1007/s00414-025-03501-6","DOIUrl":"https://doi.org/10.1007/s00414-025-03501-6","url":null,"abstract":"<p><p>In medical forensics, the detection of more than two alleles at a single locus is generally interpreted as a mixed sample or contamination. However, this can also indicate chimerism, in which an individual contains two or more distinct cell lines with different genomes. Multiple alleles at a single locus can be identified using short tandem repeat (STR) genotyping. In this study, we report a case of chimerism in a child, in which multiple alleles were detected at several loci during routine paternity testing. In particular, two alleles were detected at six loci with markedly uneven peaks, and three alleles were detected at 10 loci using different analysis kits. Analysis of additional samples from the father, mother, and child revealed that the three alleles were only present in the child's blood. Comprehensive analyses of multiple data sets confirmed that the child had congenital chimerism. The findings of this study highlight the importance of conducting comprehensive evaluations of potential chimerism when multiple alleles are detected at a gene locus to ensure the accuracy and reliability of the results and improve the credibility of genetic evidence. After excluding other factors, the potential for chimerism should be acknowledged in legal practice to ensure accurate and reliable identification. Chimerism can be a major confounding factor, and unless professionals are aware of this condition, they may draw incorrect conclusions with serious ramifications for the individuals involved.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anabel Martínez-Sánchez, Tania Ivorra, Leticia C Roberts, Salvador Giner, Luisa M Beringola, Pedro M Cano, Santos Rojo
{"title":"Correction to: The oriental latrine fly Chrysomya megacephala (Fabricius, 1794) (Diptera: Calliphoridae) as a new forensic indicator in SW Europe.","authors":"Anabel Martínez-Sánchez, Tania Ivorra, Leticia C Roberts, Salvador Giner, Luisa M Beringola, Pedro M Cano, Santos Rojo","doi":"10.1007/s00414-025-03508-z","DOIUrl":"https://doi.org/10.1007/s00414-025-03508-z","url":null,"abstract":"","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oriasotie M Ujaddughe, Jenny Haberfeld, Mubarak Ariyo Bidmos, Oladiran I Olateju
{"title":"Evaluation of standards for sex estimation using measurements obtained from reconstructed computed tomography images of the femur of contemporary Black South Africans.","authors":"Oriasotie M Ujaddughe, Jenny Haberfeld, Mubarak Ariyo Bidmos, Oladiran I Olateju","doi":"10.1007/s00414-025-03430-4","DOIUrl":"10.1007/s00414-025-03430-4","url":null,"abstract":"<p><p>Dimensions of the pelvic and skull bones are known to be sexually dimorphic in various population groups. The recovery of these bones is potentially beneficial in estimating the sex in forensic cases. Since both bones are not always available for forensic analysis, standards for sex estimation must be established for other bones of the postcranial skeleton. Previous studies have reported that postcranial skeletal elements (e.g. femur) perform like the pelvis and better than the cranium in sex estimation. Thus, this study explored the potential of CT-derived femoral measurements in sex estimation in a South African population. The sample consisted of 280 contemporary Black South Africans (50% sex ratio) whose scan reports are stored in the Radiology Department of Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa. The Xiris and IntelliSpace software was used to reconstruct the images into 3D formats from which measurements were taken. Previously derived sex estimation equations of the femur were tested using data from the current study and these equations presented low average classification accuracies. Using discriminant function and logistic regression analyses, new sex estimation equations were formulated, and these new equations yielded average sex estimation classification accuracies of between 82.5 and 91.4% (by multivariable logistic regression) and 79.3-84.3% (by multivariable discriminant function). The results indicate that population-specific femoral measurements obtained by CT are more reliable than those obtained by direct osteometry and that the femur has a high sexual dimorphism with relevant forensic applications.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1409-1422"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003478/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristiana Palmela Pereira, Mariana Correia, Diana Augusto, Francisco Coutinho, Francisco Salvado Silva, Rui Santos
{"title":"Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.","authors":"Cristiana Palmela Pereira, Mariana Correia, Diana Augusto, Francisco Coutinho, Francisco Salvado Silva, Rui Santos","doi":"10.1007/s00414-025-03416-2","DOIUrl":"10.1007/s00414-025-03416-2","url":null,"abstract":"<p><strong>Introduction: </strong>In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Due to the inherent subjectivity associated with traditional methods, artificial intelligence, specifically, convolutional neural networks (CNN) may present a competitive option.</p><p><strong>Objectives: </strong>This study evaluates the reliability of VGG16 model as an accurate forensic sex prediction algorithm and its performance using orthopantomography (OPGs).</p><p><strong>Materials and methods: </strong>This study included 1050 OPGs from patients at the Santa Maria Local Health Unit Stomatology Department. Using Python, the OPGs were pre-processed, resized and similar copies were created using data augmentation methods. The model was evaluated for precision, sensitivity, F1-score and accuracy, and heatmaps were created.</p><p><strong>Results and discussion: </strong>The training revealed a discrepancy between the validation and training loss values. In the general test, the model showed a general balance between sexes, with F1-scores of 0.89. In the test by age group, contrary to expectations, the model was most accurate in the 16-20 age group (90%). Apart from the mandibular symphysis, analysis of the heatmaps showed that the model did not focus on anatomically relevant areas, possibly due to the lack of application of image extraction techniques.</p><p><strong>Conclusions: </strong>The results indicate that CNNs are accurate in classifying human remains based on the generic factor sex for medico-legal identification, achieving an overall accuracy of 89%. However, further research is necessary to enhance the models' performance.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1381-1393"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143033107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chastyn Smith, Andrea L Williams, Hannah E Wines, Darianne C Cloudy, Jordan O Cox, Sarah J Seashols-Williams, Edward L Boone, Tracey Dawson Green
{"title":"Integration of a high-resolution melt curve assay into a commercial quantification kit for preliminary identification of biological mixtures.","authors":"Chastyn Smith, Andrea L Williams, Hannah E Wines, Darianne C Cloudy, Jordan O Cox, Sarah J Seashols-Williams, Edward L Boone, Tracey Dawson Green","doi":"10.1007/s00414-025-03427-z","DOIUrl":"10.1007/s00414-025-03427-z","url":null,"abstract":"<p><p>In recent years, DNA analysis techniques have drastically increased in sensitivity, allowing for low template DNA samples to be more easily detected and used for identification. Since the problems inherent in low template DNA are exacerbated in DNA mixture samples, it would be advantageous to incorporate an assay earlier in the DNA workflow that could detect a mixture and, potentially, determine the number of contributors. Some real-time PCR instruments have high-resolution melt curve analysis (HRM) capabilities, allowing for an opportunity to integrate an HRM screening assay into a commercial DNA quantification kit. This work describes the integration of a mixture screening HRM assay using STR loci D5S818 and D18S51 into Qiagen's Investigator Quantiplex<sup>®</sup> kit. The integrated Quantiplex<sup>®</sup>-HRM assay was tested on two qPCR platforms: The Rotor-Gene<sup>®</sup> Q and the QuantStudio™ 6 Flex. Data from this assay was analyzed using linear discriminant and support vector machine analyses for sample classification. When HRM curve data from the Rotor-Gene<sup>®</sup> Q was used for classification, the integrated assay exhibited an overall accuracy of 89.39%, correctly classifying 87.5% of single source samples and 100% of mixtures. When HRM curve data from the QuantStudio™ 6 Flex was used for classification, the integrated assay exhibited an overall accuracy of 87.88%, correctly classifying 87.5% of single source samples and 90% of mixtures. The overall accuracy of the integrated Quantiplex<sup>®</sup>-HRM assay on both instruments met our goal of ≥ 80% accuracy, demonstrating the viability of the assay to detect mixtures when integrated into a commercial quantification kit.</p>","PeriodicalId":14071,"journal":{"name":"International Journal of Legal Medicine","volume":" ","pages":"1045-1052"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12003509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143074436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}