ArticleLa Radiologia medica2021
Estimation of sex using morphometric measurements performed on cranial computerized tomography scans.
Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Computed tomography assessment of neurocranial structures for sexual dimorphism identification: a meta-analysis.International journal of legal medicine · 2025Pooled it
- Identification of Occupations in Different Populations Based on Skin Microbial Characteristics.Current microbiology · 2025Article
- Geographic and sex differences in the 3D configuration of the human parietal bone.Anthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi · 2025Article
- Sex classification of 3D skull images using deep neural networks.Scientific reports · 2024Article
- Sex estimation techniques based on skulls in forensic anthropology: A scoping review.PloS one · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to evaluate the usefulness of morphometric measurements performed on cranial computerized tomography (CT) images for the estimation of sex. A retrospective study was performed in the radiology department of a tertiary care center using data collected from cranial CT scans of 616 Caucasian cases (307 women, 309 men) with an average age of 44.70 ± 16.43. The parameters under investigation consisted of maximum cranial length (MCL), minimum frontal breadth, bi-zygomatic breadth (BZB), parietal chord, maximum cranial breadth, bi-mastoid diameter (BIM) and the length of cranial base. Any statistically significant difference in terms of these parameters was found between males and females. In our series, women were remarkably older than men (47.56 ± 15.87 vs. 41.39 ± 16.43; p < 0.001). We observed that there was a statistically significant difference between males and females concerning all morphometric measurements and males displayed higher values in terms of all parameters (p < 0.001, for all). The variables with the most successful performance for discrimination of gender were BZB (89.2%), MCL (87.4%) and BIM (84.8%). The concomitant use of these morphometric measurements seems to improve the accuracy of sex estimation. We suggest that morphometric measurements performed on cranial CT images can be useful for the estimation of sex.
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