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The use of acid to obscure human remains is a tactic frequently associated with criminal activity, yet research on its effects on human dentition remains inconsistent. Dental tissues, among the body's most durable components, play a vital role in forensic identification. However, existing studies on acid dissolution of dentition often lack standardized methods, resulting in findings that are difficult to reproduce or generalize. This study addresses these gaps by examining the effects of hydrochloric acid (HCl) on permanent maxillary molars under controlled conditions, using a replicable methodology that incorporates experimental controls and evaluates the impact of handling techniques such as removal, rinsing, and drying. Five permanent maxillary molar samples were submerged in HCl (37 %) under varied handling conditions. Findings reveal that undisturbed samples dissolved more slowly than those subjected to periodic removal and rinsing, which accelerated dissolution rates by over 100 %. This highlights the significant influence of handling techniques on experimental outcomes. The study also identifies inconsistent reporting and the absence of standardized protocols in prior research as critical barriers to reproducibility. By providing a clear and replicable framework, this study advances understanding of the dissolution process and emphasizes the importance of methodological rigor in forensic science. These findings have broader implications for improving the reliability of forensic evidence and ensuring its applicability in criminal investigations. Addressing these issues is essential for enhancing public trust in forensic methods and strengthening their role in the justice system. •Clear, replicable research is critical to maintaining credibility in forensic applications.•Variability in dentition studies reveals critical gaps in forensic science's methodological rigor.•Introducing controls in forensic research can significantly improve the accuracy of findings.•It found that handling methods, like periodic rinsing, accelerate tooth dissolution compared to undisturbed conditions.•This study explores how hydrochloric acid affects human molars using a controlled, replicable approach.

An accessible, essential introduction to forensic odontology. Written by a team of well-established, active practitioners in the field, Forensic Odontology is invaluable for those needing an introduction to the subject for the general dental practitioner who has an interest in forensic dentistry and is contemplating practicing in the field. It will also be useful as a reference during practice. After a brief introduction the book covers dental anatomy and development, expert witness skills, mortuary practice, dental human identification, disaster victim identification, dental age assessment, bite marks, forensic photography and the role of the forensic odontologist in protection of the vulnerable person. Chapters outline accepted and recommended practices and refer to particular methodologies, presenting different schools of thought objectively.

Forensic odontology (FO) is regarded in the literature as one of the most reliable and economical scientific methods for victim identification in mass disasters (MDs). The present paper systematically reviews the role of forensic odontologists in various global MDs. A comprehensive search of the literature databases (PubMed, Medline, SCOPUS, Web of Science and Google Scholar), along with cross-referencing published peer-reviewed articles, was conducted. The search included full texts, abstracts or titles, had no inclusion year limit (searched until September 2017) and was limited to the English language. Keywords included a combination of 'Forensic odontology', 'Dental records', 'Victim identification', 'Natural mass disaster', 'Criminal mass disaster', 'Accidental mass disaster' and 'Victim disaster'. Of the included disasters (20), 12 (57.14%) were accidental, 5 (23.80%) natural and 3 (19.04%) were criminal. The maximum number of victims was associated with the Japan tsunami (15892), followed by the Thailand tsunami (4280) and the Estonia ferry disaster (852). A total of 23654 victims were reported, of which 20569 (86.96%) were positively identified. Reports from 17 MDs included the use of FO in victim identification [3025 (14.70%) cases]. In addition, 1094 victims (5.31%; from 7 papers) were identified using FO in combination with other methodologies. The highest percentage of victims was identified using FO following the Kentucky air crash (47; 100%), followed by the Newark air crash (38; 76%), the Nepal air crash (10; 71.42%), the France air crash (56; 65.88%), the Australian bushfire (14; 63.63%), and the Estonia ferry disaster (57; 60.63%). FO has played a significant role in victim identification in several MDs around the world. The success of FO-based identification is heavily dependent on the availability of ante-mortem records from general dental practitioners. Hence, adequate knowledge about FO and appropriate dental record keeping among general dental practitioners are critical.

We propose using faster regions with convolutional neural network features (faster R-CNN) in the TensorFlow tool package to detect and number teeth in dental periapical films. To improve detection precisions, we propose three post-processing techniques to supplement the baseline faster R-CNN according to certain prior domain knowledge. First, a filtering algorithm is constructed to delete overlapping boxes detected by faster R-CNN associated with the same tooth. Next, a neural network model is implemented to detect missing teeth. Finally, a rule-base module based on a teeth numbering system is proposed to match labels of detected teeth boxes to modify detected results that violate certain intuitive rules. The intersection-over-union (IOU) value between detected and ground truth boxes are calculated to obtain precisions and recalls on a test dataset. Results demonstrate that both precisions and recalls exceed 90% and the mean value of the IOU between detected boxes and ground truths also reaches 91%. Moreover, three dentists are also invited to manually annotate the test dataset (independently), which are then compared to labels obtained by our proposed algorithms. The results indicate that machines already perform close to the level of a junior dentist.

Forensic anthropology is affected by the unavoidable limits concerning difficulties in standardization of methods and procedures; age estimation is one of the main tasks of forensic anthropology and odontology, both on the dead and the living: literature has shown several methods of age estimation, and although they may be thought of as equivalent, every procedure has its limits, mean error, practical situation and age range where it gives the best results; the lack of standardization and consensus concerning which method can be used, as well as the lack of a practical approach in different cases is the main limit in a correct age estimation process. This review aims at exposing the experience of the authors working in the FASE (Forensic Anthropology Society of Europe) subsection of IALM (International Academy of Legal Medicine) in the field of age estimation both on the dead and the living, at highlighting advantages and limits of each method, and suggesting practical solutions concerning the age estimation process for adults and subadults, dead and living, and pedopornographic material.

Rugoscopy is a recognized method for human identification. Its reliability, however, may be compromised when general dentists with limited forensic training perform identification. Evaluating the role of future practitioners—dental students—is essential to address this competency gap. This study assessed the ability of dental students in recognizing and interpreting palatal rugae patterns for forensic identification. Fifty-four final-year dental students were evaluators. Forty maxillary casts (10 pre-orthodontic, 30 post-orthodontic) were used. All casts were duplicated and modified to retain only the palatal rugae area, with all teeth removed to prevent dental feature-based recognition. Participants matched each Set 1 cast to one in Set 2. The procedure was repeated after one week to determine test-retest reliability, assessed using prevalence-adjusted bias-adjusted kappa (PABAK). The mean accuracy for rugoscopy-based identification was 83.06% (± 15.49%), with an average time of 1.37 (± 0.34) minutes per matching. Reliability ranged from substantial to almost perfect, showing agreement rates between 74.07% and 96.30%. This simulated exercise demonstrated that trained dental students could achieve good accuracy and reliability in identifying individuals based on palatal rugae patterns. Consequently, trained dental students may play a valuable supportive role in forensic identification tasks when specialized forensic odontologists are unavailable. Further research is recommended to establish standardized criteria to improve both accuracy and reliability.

While clinical dentistry has seamlessly integrated the digital revolution, there is a gap in the technological capabilities of forensic dentistry.The study aimed to compare the superimposition accuracy of two different three-dimensional record formats, namely the intraoral scanner and cone beam computer tomography, in the context of forensic identification.The sample consisted of randomly selected adults (n=10) of both sexes aged between 20 and 50 years. Following the acquisition of data using the Medit i700 wireless scanner and the iCAT Tomograph with InVivo software, the records were analysed and compared through superimposition using Medit Scan Clinic software to assess the technical precision of anatomical identification details.The results obtained through the superimposition of dental and bone records following intra- and inter-observer analysis enabled an accurate comparison and identification of an individual. This method can differentiate between positive and negative matches, achieving exclusion results and offering a potential solution to overcoming the absence of a standardisation procedure in human identification.

Dental measurements have been proposed as parameters for stature estimation for at least 85 years. The scientific literature on the topic, however, is controversial regarding the performance of the method. This systematic literature review of observational cross-sectional studies aimed to compile evidence to support decisions in the forensic practice regarding the use of dental measurements for stature estimation. Embase, LILACS, MedLine (via PubMed), SciELO, Scopus, Web of Science, DansEasy and Open Access Thesis and Dissertations (OATD) were searched. Data regarding the rate of correct stature classifications were extracted. A meta-analysis with a Random Intercept Logistic Regression model and a Logit Transformation was conducted. The search led to 10.803 entries, out of which 15 were considered eligible (n = 1486 individuals). The studies were published between 1990 and 2020 and were authored by South American (n = 7) and Asian (n = 8) research teams. Dental measurements were predominantly (93.34 %) performed on dental casts or via intraoral inspection. The overall rate of correct classifications based on stature was 68 %. Excluding outliers, the overall accuracy of the method decreased to 64 % (95 %CI: 54–73 %). Significant heterogeneity was detected (I² = 72.4 %, τ2 = 0.24, H = 1.91, p < 0.001). Egger's test (p = 0.94) and the funnel plot did not reveal publication bias. Dental measurements are not reliable for stature estimation in the forensic field. •The search found 10.803 entries out of eight databases.•Fifteen studies were eligible, combining 1486 individuals.•The overall rate of correct stature classifications was 64 % (95 %CI: 54–73 %).•High heterogeneity was detected (I² = 72.4 %, τ2 = 0.24, H = 1.91, p < 0.001).•Egger's test (p = 0.94) and the funnel plot did not reveal publication bias.

Teeth and bones of calvarium are important structures from a forensic point of view, as they are extremely resilient to destruction or decomposition, even under temperature variations. Radiology is inevitably an important tool in forensic investigations. Maxillofacial radiology provides a considerable amount of information for the identification of remains and evidence in case of legal matters. The advent of cone-beam computed tomography (CBCT) in the arena of maxillofacial 3D imaging has contributed immensely to forensic science such as the age estimation through teeth, analysis of bite marks, determination of race and sex, etc. The advantages of accuracy in imaging the anatomy, digitized technology favoring easier comparison of records and storage of records for a longer period, cost reduction, dose reduction, and easier portability have made it an unavoidable adjunct in forensic investigations. The aim of this paper is to review and highlight the importance of CBCT in successful forensic identification and analysis. This review is written to address the various aspects of CBCT as a recently developed technology that may be very useful in some forensic contexts, based on searches for current studies in the literature using PubMed, Scopus, Web of Science, and Google Scholar databases, to identify studies published since inception to December 2021, with no language restriction. In conclusion, CBCT is an accessible 3D imaging technology with many applications, one of them being in forensic sciences.

Accurate dental matching is essential for forensic identification, particularly in challenging cases involving dentitions with no dental work, incomplete dentitions or damaged remains. This study evaluates similarity scoring schemes for 3D dental data using three datasets: full jaws versus single teeth (DATA-A), and two collections of heat-traumatized teeth (DATA-B and DATA-C). The similarity scores are assessed for their ability to quantify tooth curvature (dis)similarity and distinguish matching from mismatching dental comparisons. The results demonstrate the effectiveness of the methods in handling dental fragmentation (ROC-AUCDATA-A = 0.899 (95 % CI 0.840–0.948) and heat trauma (ROC-AUC DATA-B = 0.996 (95 % CI 0.98–1.00); ROC-AUC DATA-C = 0.993 (95 % CI 0.980–1.00), and that they offer a robust tool for forensic applications. •Tests the keypoint pipeline on two different trauma scenarios.•Quantifies dental surface dissimilarity between single teeth and full jaws.•Quantifies dental surface dissimilarity before and after heat exposure.•Underlining the usefulness of the keypoint pipeline for trauma scenarios.