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Soft-tissue thickness values using cone beam computed tomography: A literature review.
Federica Mele1, Valeria Santoro1, Chiara Lauretti1
1Department of Interdisciplinary Medicine, Section of Legal Medicine, Policlinico di Bari Hospital, University of Bari, Italy.
Facial approximation uses skull data to reconstruct faces from unidentified human remains. Cone beam computed tomography (CBCT) is a key technique for measuring soft-tissue depth, aiding in accurate ante-mortem appearance reconstruction.
Area of Science:
- Forensic Anthropology
- Medical Imaging
- Anatomical Sciences
Background:
- Facial approximation is crucial for identifying unidentified human remains.
- Accurate ante-mortem facial reconstruction relies on precise soft-tissue thickness measurements.
- Various methods exist for obtaining soft-tissue data from skeletal remains.
Purpose of the Study:
- To review the current status of cone beam computed tomography (CBCT) in facial approximation.
- To assess the heterogeneity of studies utilizing CBCT for soft-tissue thickness determination.
- To evaluate the impact of landmark selection, sex, and body mass index on CBCT-based facial approximation.
Main Methods:
- Systematic literature review of studies employing cone beam computed tomography for soft-tissue thickness measurements.
- Analysis of methodological variations in landmark identification and data acquisition.
- Assessment of study-level factors including participant demographics (sex) and body mass index (BMI).
Main Results:
- Cone beam computed tomography (CBCT) is a frequently used imaging modality for soft-tissue depth estimation.
- Significant heterogeneity exists across studies regarding landmark definition and measurement protocols.
- Variations in sex and body mass index (BMI) can influence soft-tissue thickness, impacting reconstruction accuracy.
Conclusions:
- CBCT is a valuable tool in forensic facial approximation, but standardization is needed.
- Further research should focus on harmonizing methodologies to reduce heterogeneity.
- Addressing variations related to sex and BMI is essential for improving the reliability of facial reconstructions.
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