Ju, Xiangyang and Mossey, Peter and Ayoub, Ashraf (2024) 3D head shape feature analysis of Zika infected children. Viruses, 16 (9): 1406. ISSN 1999-4915
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This study analyzed 3D head images of 35 ZKV-positive cases with an average age of 16.8 months and 35 controls with an average age of 14.4 months. The study identified significant differences in centroid size, head circumference, head height, and chin height between the two groups.AI Topics:
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Congenital Zika syndrome (CZS) has been identified a constellation of congenital anomalies caused by Zika Virus (ZKV) infection during pregnancy. The infection with ZKV could lead to microcephaly of the fetus due to a severe decrease in brain volume and reduced brain growth. The preliminary screening of CZS is based on measuring head circumference; the diagnosis is made if this measurement is below two standard deviations below the mean. The analyses of the 3D head features of infected infants are limited. This study analyzed 3D head images of 35 ZKV-positive cases with an average age of 16.8 ± 2 months and 35 controls with an average age of 14.4 ± 5 months. This study focused on identifying potential diagnostic characteristics of CZS. The 3D head images were captured using a 3D imaging system. The averaged images of the two groups were aligned to illustrate the size and shape differences. There were significant differences in centroid size, head circumference (HC), head height (HH), and chin height (CH) between the two groups. We also identified significant differences in the indices of chin height/total facial height (CH/TFH) and head height/head circumference ratio (HH/HC) between the CZS and control cases. An HH/HC of 0.49 showed a sensitivity of 0.86 and a specificity of 0.74 in diagnosing CZS, which is more sensitive than the routinely used HC measurement. The index of HH/HC has potential to be used as the gold standard for the early screening for the detection of CZS cases.
Title | 3D head shape feature analysis of Zika infected children |
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Creators | Ju, Xiangyang and Mossey, Peter and Ayoub, Ashraf |
Identification Number | 10.3390/v16091406 |
Date | 3 September 2024 |
Divisions | College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Dental School |
Publisher | MDPI |
URI | https://pub.demo35.eprints-hosting.org/id/eprint/165 |
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Item Type | Article |
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Depositing User | Unnamed user with email ejo1f20@soton.ac.uk |
Date Deposited | 11 Jun 2025 16:35 |
Revision | 22 |
Last Modified | 12 Jun 2025 11:45 |
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