RESUMO
Objectives: The study was conducted to assess the prevalence of incidental paranasal sinus pathologies in children on computed tomography (CT) scans. Materials and methods: A nonrandomized retrospective study was done on CT scans of 232 pediatric patients taken in the past 6 months duration. These scans were evaluated in different age groups from 0-13 years who had visited or were admitted to the hospital for various other head and neck-related problems. Each scan was examined for incidental pathologic findings in all the paranasal sinuses. The data were analyzed using descriptive statistics and Fisher's exact test to determine non-random associations between variables. Results: A total of 232 subjects were examined, amongst which 72 (31.03%) had incidental sinus pathologies. Multiple sinus pathologies were found in 36 subjects, 28 had single sinus involvement, and four showed no development of frontal sinus at the age of 11 years. Four subjects had pathology in multiple sinuses as well as no development of frontal sinus at the age of 6-7 years age range. Conclusion: Sinus pathologies are not unusual in the asymptomatic children population, and the incidence is almost equivalent to that of the adult population. Early identification can aid in diagnosing orofacial pain of unknown origin and also if children are susceptible to upper respiratory tract infections and their secondary effects like sleep apnea, mouth breathers, etc. How to cite this article: Talwade P, Deshpande PS, Pene S, et al. Incidental Paranasal Sinus Findings on Computed Tomography Images of Pediatric Patients: A Cross-sectional Prevalence Study. Int J Clin Pediatr Dent 2023;16(2):292-294.
RESUMO
Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well as brain volume, are associated with intelligence, but less is known about the sexual dimorphism of these relationships. In this paper, sex differences in the relationship between brain structural complexity and general intelligence (g) in two diverse geographic and cultural populations (UK and Indian) are investigated. 3D T1-weighted magnetic resonance imaging (MRI) data and a battery of cognitive tests were acquired from participants belonging to three different cohorts: Mysore Parthenon Cohort (MPC); Aberdeen Children of the 1950s (ACONF) and UK Biobank. We computed MRI derived structural brain complexity and g estimated from a battery of cognitive tests for each group. Brain complexity and volume were both positively corelated with intelligence, with the correlations being significant in women but not always in men. This relationship is seen across populations of differing ages and geographical locations and improves understanding of neurobiological sex-differences.
