ArticleInternational journal of legal medicine2019
Three-dimensional analysis of sphenoid sinus uniqueness for assessing personal identification: a novel method based on 3D-3D superimposition.
Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 49 citations in OpenAlex.
- Development of an AI-based model for sex estimation using CT-derived metrics from paranasal sinuses.International journal of legal medicine · 2026Observational
- Non-metric traits of the cranium: are they related one with each other? A novel approach to skeletal variants.International journal of legal medicine · 2026Article
- Comparative analysis of 3D reconstruction of paranasal sinuses for simulated personal identification using Dolphin imaging and mimics software.International journal of legal medicine · 2026Article
- Forensic personal identification using two-dimensional computed tomographic imaging of the frontal sinus: a comparative analysis of feature matching algorithms.International journal of legal medicine · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- From traditional to innovative: implications of cranial non-metric traits in personal identification.International journal of legal medicine · 2025Article
- An exclusionary screening method based on 3D morphometric features to sort commingled atlases and axes.Scientific reports · 2024Article
- Sphenoid sinuses' volume and area analysis of Brazilian individuals' CBCTs, related to sex, age, skin color, and nutritional status using DDS-Pro™ software.Forensic science, medicine, and pathology · 2024Article
- The potential of facial nevi in personal identification.Scientific reports · 2024Article
- Article
- Digital pair-matching of iliac bones: pilot study on a three-dimensional approach with models acquired through stereophotogrammetry.International journal of legal medicine · 2023Article
- Volumetric evaluation of the sphenoid sinus among different races in the Southeast Asian (SEA) population: a computerized tomography study.International journal of medical sciences · 2023Article
- Article
- Artificial Intelligence in Lung Cancer Imaging: Unfolding the Future.Diagnostics (Basel, Switzerland) · 2022Review
- Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm.Journal of digital imaging · 2022Article
- Human identification performed with skull's sphenoid sinus based on deep learning.International journal of legal medicine · 2022Article
- 3D-3D facial registration method applied to personal identification: Does it work with limited portions of faces? An experiment in ideal conditions.Journal of forensic sciences · 2022Article
- A rare case of unilateral vocal cord paralysis: neurovascular conflict due to an aberrant bronchial artery detected at computed tomography.Radiology case reports · 2022Article
- An osteometric and 3D analysis of the atlanto-occipital joint: An initial screening method to exclude crania and atlases in commingled remains.American journal of biological anthropology · 2022Article
- Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis-a narrative review.Exploration of targeted anti-tumor therapy · 2022Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sphenoid sinuses are considered the most variable structures of human body: therefore, they may be used for personal identification, through the application of 3D segmentation procedures. This study aims at proposing a new protocol for personal identification based on 3D-3D superimposition of sphenoid sinuses segmented from head CT scans. Adult subjects (equally divided among males and females) who underwent two head CT scans were extracted from a hospital database. Sphenoid sinuses were segmented through ITK-SNAP software and the corresponding 3D models were automatically superimposed to obtain 40 matches (when they belonged to the same person) and 260 mismatches (when they were extracted from different individuals). The RMS (root mean square) point-to-point distance was then calculated for all the superimpositions: differences according to sex and group (matches and mismatches) were assessed through the Mann-Whitney test (p < 0.05). On average, the RMS value was almost ten times smaller in matches (0.22 ± 0.11 mm) than in mismatches (2.16 ± 0.57 mm) with a statistically significant difference according to group (p < 0.05), but not to sex (p > 0.05). The study proposed a new method for assessing personal identification from segmented 3D models of sphenoid sinuses, useful in the forensic contexts where other methods might not be implementable or successful.
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