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Morphometric Assessment of Bi-caudate Index Using Computerized Tomographic Scan from Sokoto North-Western Nigeria

Domaine:

healthcare

Type de record:

paperdataset
Créateur:
DanAbu
Éditeur:
Dep
Éditeur:
CCSDSci
Hôte:avatar
International audience Aim: To determine the bi-caudate index (BCI) of Nigerians using computerized tomography from Sokoto North-Western Nigeria. Study Design: Retrospective cross- sectional. Place and Duration of Study: Department of Anatomy Usmanu Danfodiyo University Sokoto and Department of Radiology Usmanu Danfodiyo University Teaching Hospital Sokoto, between January, 2020 and January, 2022. Methodology: CT scans of 186 apparently healthy normal individuals of age group 1 to 70 years were taken and the subjects were categorized into age intervals of 10 years; males and females taken separately. The linear measurements of caudate and brain were taken directly from the screen. The Bi Caudate Index were calculated. The mean values in each group were compared with age and sex, using appropriate statistical tests. Results: The least BCI in male was 6.0mm and was seen in the age group 1-10 years while in female the least BCI was 5.0mm, seen in the age group 1-10. The largest BCI in male was 21mm, observed in the age group 61-70years, while the largest BCI in female 19.0mm, seen in the age group 61-70 years. Conclusion: Bi Caudate Index shows positive correlation with age.

Visit

hal.science

Languages

Fulfulde, NigerianHausa

Tags

[INFO.INFO-IM]Computer Science [cs]/Medical Imaging

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