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Estimating gestational age (GA) in fetal remains is important in forensic contexts, especially for assessing fetal viability, and is often the only biological parameter that can be estimated with any degree of accuracy. The length of long bone diaphyses is one of the most commonly used methods; however, the methodologies usually applied need to be updated. This study presents a simple and objective method for estimating GA based on the measurement of the maximum length of the diaphyses of the femur, tibia, fibula, humerus, ulna, and radius in radiographic images, based on a sample composed of…mehr

Produktbeschreibung
Estimating gestational age (GA) in fetal remains is important in forensic contexts, especially for assessing fetal viability, and is often the only biological parameter that can be estimated with any degree of accuracy. The length of long bone diaphyses is one of the most commonly used methods; however, the methodologies usually applied need to be updated. This study presents a simple and objective method for estimating GA based on the measurement of the maximum length of the diaphyses of the femur, tibia, fibula, humerus, ulna, and radius in radiographic images, based on a sample composed of fetuses of known GA. Simple linear regression equations were developed by classical and inverse calibration, and quick reference tables were also constructed. The equations were tested and compared with reference work methodologies, obtaining excellent results. The applicability was tested on dry bones and on fetuses with pathologies that could compromise bone growth, yielding very satisfactory results. In short, the results achieved are of great applicability in a forensic and even bioarchaeological context.
Autorenporträt
Cristiana Carneiro, Bachelor's degree in Pathological, Cytological, and Thanatological Anatomy, PhD in Forensic Anthropology from the University of Coimbra. She has been working in a hospital setting since 1997 and teaching since 2007, with an emphasis on Thanatology, Fetopathology, and Forensic Sciences.