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Kamnikar KR, Appel NS, Menegaz R, Jashashvili T, Hill EC, Edgar HJH. Technical note: Measuring bicondylar length in computed tomography data. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024:e25032. [PMID: 39373402 DOI: 10.1002/ajpa.25032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 08/24/2024] [Accepted: 09/09/2024] [Indexed: 10/08/2024]
Abstract
OBJECTIVES With the increased use of 3D-generated images in biological research, there is a critical need to adapt classical anatomical measurements, traditionally conducted with calipers, to a virtual environment. We present detailed protocols for measuring bicondylar length, a critical dimension of the femur, using three different imaging software programs-3D Slicer™, Amira™, and Simpleware™. These protocols provide researchers and practitioners in radiology, orthopedics, biomechanics, and biological anthropology with accurate and reproducible measurement techniques. The objective is to standardize and support virtual osteology in biomechanical research, stature estimation, and related medical and anthropological studies. MATERIALS AND METHODS Adhering to standardized protocols, we adapted femoral bicondylar length measurements for computed tomography images from a New Mexican collection (n = 10). The method was designed for applicability and reproducibility across three software platforms. By comparing measurements from the same sample across different observers and different platforms, this study validates the accuracy and consistency of the adapted protocol, demonstrating its utility for research and clinical assessments. RESULTS We present a step-by-step guide for each program, detailing bone alignment and measurement. We illustrate each step and provide video tutorials via links for an enhanced understanding of the process. DISCUSSION Bicondylar length can be measured effectively in each software program following the provided instructions. However, ease of measurement varied among the programs, with some offering a more straightforward process. This variability underscores the importance of choosing appropriate software for the user's needs and proficiency. It also suggests areas for improvement and standardization in software design and instructional clarity.
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Affiliation(s)
- Kelly R Kamnikar
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Nicollette S Appel
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, USA
- Office of the Medical Investigator, Albuquerque, New Mexico, USA
| | - Rachel Menegaz
- Department of Physiology and Anatomy, The University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Tea Jashashvili
- Department of Integrative Anatomical Sciences, Keck School of Medicine, The University of Southern California, Los Angeles, California, USA
| | - Ethan C Hill
- Orthopaedics and Rehabilitation, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Heather J H Edgar
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, USA
- Office of the Medical Investigator, Albuquerque, New Mexico, USA
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Braun S, Schwendener N, Kanz F, Lösch S, Milella M. What we see is what we touch? Sex estimation on the skull in virtual anthropology. Int J Legal Med 2024; 138:2113-2125. [PMID: 38689177 PMCID: PMC11306383 DOI: 10.1007/s00414-024-03244-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 04/24/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND The increased use of virtual bone images in forensic anthropology requires a comprehensive study on the observational errors between dry bones and CT reconstructions. Here, we focus on the consistency of nonmetric sex estimation traits on the human skull. MATERIALS AND METHODS We scored nine nonmetric traits on dry crania and mandibles (n = 223) of archaeological origin and their CT reconstructions. Additionally, we 3D surface scanned a subsample (n = 50) and repeated our observations. Due to the intricate anatomy of the mental eminence, we split it into two separate traits: the bilateral mental tubercles and the midsagittal mental protuberance. We provide illustrations and descriptions for both these traits. RESULTS We obtained supreme consistency values between the CT and 3D surface modalities. The most consistent cranial traits were the glabella and the supraorbital margin, followed by the nuchal crest, zygomatic extension, mental tubercles, mental protuberance, mental eminence, mastoid process and ramus flexure, in descending order. The mental tubercles show higher consistency scores than the mental eminence and the mental protuberance. DISCUSSION The increased interchangeability of the virtual modalities with each other as compared to the dry bone modality could be due to the lack of tactility on both the CT and surface scans. Moreover, tactility appears less essential with experience than a precise trait description. Future studies could revolve around the most consistent cranial traits, combining them with pelvic traits from a previous study, to test for accuracy.
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Affiliation(s)
- Sandra Braun
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland
| | - Nicole Schwendener
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Bern, Bern, Switzerland
| | - Fabian Kanz
- Forensic Anthropology Unit, Center for Forensic Medicine, Medical University of Vienna, Vienna, Austria
| | - Sandra Lösch
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland.
| | - Marco Milella
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland
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Robles M, Nakhaeizadeh S, Rando C, Morgan RM. Human identification: an investigation of 3D models of paranasal sinuses to establish a biological profile on a modern UK population. Int J Legal Med 2024; 138:1411-1424. [PMID: 38351205 PMCID: PMC11164725 DOI: 10.1007/s00414-024-03179-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/24/2024] [Indexed: 06/12/2024]
Abstract
Medical imaging is a valuable source for facilitating empirical research and provides an accessible gateway for developing novel forensic anthropological methods for analysis including 3D modelling. This is especially critical for the United Kingdom (UK), where methods developed from modern UK populations do not currently exist. This study introduces a new approach to assist in human identification using 3D models of the paranasal sinuses. The models were produced from a database of 500 modern CT scans provided by University College London Hospital. Linear measurements and elliptic Fourier coefficients taken from 1500 three-dimensional models across six ethnic groups assessed by one-way ANOVA and discriminant function analysis showed a range of classification rates with certain rates reaching 75-85.7% (p < 0.05) in correctly classifying age and sex according to size and shape. The findings offer insights into the potential for employing paranasal sinuses as an attribute for establishing the identification of unknown human remains in future crime reconstructions.
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Affiliation(s)
- Madeline Robles
- UCL Department of Security and Crime Science, 35 Tavistock Square, London, WC1H 9EZ, UK.
- UCL Centre for the Forensic Sciences, 35 Tavistock Square, London, WC1H 9EZ, UK.
- School of Applied Sciences, College of Health, Science and Society, University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, UK.
| | - Sherry Nakhaeizadeh
- UCL Department of Security and Crime Science, 35 Tavistock Square, London, WC1H 9EZ, UK
- UCL Centre for the Forensic Sciences, 35 Tavistock Square, London, WC1H 9EZ, UK
| | - Carolyn Rando
- UCL Institute of Archaeology, 31-34 Gordon Square, London, WC1H 0PY, UK
| | - Ruth M Morgan
- UCL Department of Security and Crime Science, 35 Tavistock Square, London, WC1H 9EZ, UK
- UCL Centre for the Forensic Sciences, 35 Tavistock Square, London, WC1H 9EZ, UK
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Ferrell MJ, Schultz JJ, Adams DM. Sex estimation research trends in forensic anthropology between 2000 and 2022 in five prominent journals. J Forensic Sci 2024; 69:1138-1154. [PMID: 38600623 DOI: 10.1111/1556-4029.15522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/24/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
In forensic anthropology, osteological sex estimation methods are continuously reevaluated and updated to improve classification accuracies. Therefore, to gain a comprehensive understanding of recent trends in sex estimation research in forensic anthropology, a content analysis of articles published between 2000 and 2022 in Forensic Science International, the Journal of Forensic Sciences, the International Journal of Legal Medicine, the American Journal of Biological Anthropology, and Forensic Anthropology, was performed. The main goals of this content analysis were to (1) examine trends in metric versus morphological research, (2) examine which areas of the skeleton have been explored, (3) examine which skeletal collections and population affinities have been most frequently utilized, and (4) determine which statistical methods were commonly implemented. A total of 440 articles were coded utilizing MAXQDA and the resulting codes were exported for analysis. Statistical analyses were conducted utilizing the Cochran-Armitage and Jonckheere-Terpstra tests for trends, as well as Fisher-Freeman-Halton tests. The results demonstrate that sex estimation research published in these journals has prioritized metric over morphological methods. Further, the most utilized skeletal regions continue to be the skull and pelvis, while the most popular classification statistics continue to be discriminant function analysis and logistic regression. This study also demonstrates that a substantial portion of research has been conducted utilizing U.S. and Europe-based collections and limited populations. Based on these results, future sex estimation research must continue exploring the use of long bones and other postcranial elements, testing newer methods of analysis, as well as developing population-inclusive methods.
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Affiliation(s)
- Morgan J Ferrell
- Department of Anthropology, University of Central Florida, Orlando, Florida, USA
| | - John J Schultz
- Department of Anthropology, University of Central Florida, Orlando, Florida, USA
- National Center for Forensic Science, Orlando, Florida, USA
| | - Donovan M Adams
- Department of Anthropology, University of Central Florida, Orlando, Florida, USA
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Braun S, Schwendener N, Kanz F, Lösch S, Milella M. What we see is what we touch? Sex estimation on the pelvis in virtual anthropology. Int J Legal Med 2023; 137:1839-1852. [PMID: 37336820 PMCID: PMC10567926 DOI: 10.1007/s00414-023-03034-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/29/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND Computed tomography (CT) scans are a convenient means to study 3D reconstructions of bones. However, errors associated with the different nature of the observation, e.g. visual and tactile (on dry bone) versus visual only (on a screen) have not been thoroughly investigated. MATERIALS AND METHODS We quantified the errors between modalities for sex estimation protocols of nonmetric (categorical and ordinal) and metric data, using 200 dry pelves of archaeological origin and the CT reconstructions of the same bones. In addition, we 3D surface scanned a subsample of 39 pelves to compare observations with dry bone and CT data. We did not focus on the sex estimation accuracy but solely on the consistency of the scoring, hence, the interchangeability of the modalities. RESULTS Metric data yielded the most consistent results. Among the nonmetric protocols, ordinal data performed better than categorical data. We applied a slightly modified description for the trait with the highest errors and grouped the traits according to consistency and availability in good, intermediate, and poor. DISCUSSION The investigated modalities were interchangeable as long as the trait definition was not arbitrary. Dry bone (gold standard) performed well, and CT and 3D surface scans performed better. We recommend researchers test their affinity for using virtual modalities. Future studies could use our consistency analysis and combine the best traits, validating their accuracy on various modalities.
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Affiliation(s)
- Sandra Braun
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland.
| | - Nicole Schwendener
- Department of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Bern, Bern, Switzerland
| | - Fabian Kanz
- Forensic Anthropology Unit, Center for Forensic Medicine, Medical University of Vienna, Vienna, Austria
| | - Sandra Lösch
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland
| | - Marco Milella
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Murtenstrasse 24-28, 3008, Bern, Switzerland
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Carew RM, French J, Morgan RM. Drilling down into ethics: A thematic review of ethical considerations for the creation and use of 3D printed human remains in crime reconstruction. Sci Justice 2023; 63:330-342. [PMID: 37169458 DOI: 10.1016/j.scijus.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/01/2023] [Accepted: 03/20/2023] [Indexed: 04/03/2023]
Abstract
The existing literature contains some exploration of the ethics concerning human remains in forensic and virtual anthropology. However, previous work has stopped short of interrogating the underlying ethical concepts. The question of how people understand and apply these concepts in practice, and what it means to act ethically, remain underexplored. This thematic review explores the ethical considerations that contribute to the creation and use of 3D printed human remains for forensic purposes. The three main branches of ethical theory are outlined to explore how they may apply to forensic practice. Key themes relating to 3D printing human remains in forensic contexts were explored to better understand the ethics landscape, ethical challenges, and the current guidelines in place. Through this thematic review, nine ethics principles were identified as key principles for guiding best practice: anonymity, autonomy, beneficence, consent, context, justice, non-maleficence, proportionality, and transparency. It is suggested that these principles could be incorporated into adaptable guidelines going forward to support ethical practice. The findings also suggest that holistic ethics cognition training may have value in supporting forensic scientists in ethical decision-making, together with procedural and structural design that may promote best practice and reduce cognitive load.
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Corron LK, Broehl KA, Chu EY, Vlemincq-Mendieta T, Wolfe CA, Pilloud MA, Scott GR, Spradley MK, Stull KE. Agreement and error rates associated with standardized data collection protocols for skeletal and dental data on 3D virtual subadult crania. Forensic Sci Int 2022; 334:111272. [DOI: 10.1016/j.forsciint.2022.111272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/15/2022] [Accepted: 03/11/2022] [Indexed: 11/04/2022]
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