A Cephalometric Analysis on Magnitude and Shape of Sella Turcica
DOI:
https://doi.org/10.61919/jhrr.v3i2.1737Keywords:
Sella turcica, craniofacial morphology, computed tomography, cephalometry, pituitary fossa, population-based study, age-related changes, U-shaped morphologyAbstract
Background: The sella turcica is a critical craniofacial landmark housing the pituitary gland. Variations in its size and morphology are significant in diagnosing syndromic conditions, pituitary pathologies, and craniofacial anomalies. Establishing normative data is essential for population-specific assessments.
Objective: This study aimed to evaluate the size and shape of the sella turcica in the Balochistan population, analyzing its correlation with age and gender.
Methods: This cross-sectional study included 142 participants (98 males, 44 females) aged 1–70 years. High-resolution computed tomography (CT) images were analyzed using Mimics software for precise measurement of linear and area dimensions, including anterior, posterior, and median heights, as well as length, diameter, and width. Morphological analysis categorized sella turcica shapes into U-shaped, J-shaped, and shallow. Statistical analysis was conducted using SPSS version 25. Gender differences were assessed using t-tests, and correlations with age were evaluated using Pearson’s coefficient.
Results: No significant gender differences were observed in sella turcica dimensions (p > 0.05). U-shaped morphology was most common (50.7%), followed by J-shaped (32.4%) and shallow (16.9%). Significant positive correlations were identified between age and dimensions, including length (r = 0.75, p < 0.001) and diameter (r = 0.73, p < 0.001).
Conclusion: The study established normative data for sella turcica dimensions and morphology, emphasizing its utility in orthodontic and craniofacial assessments. Age significantly influenced sella dimensions, while gender differences were negligible.
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Copyright (c) 2023 Marium Hasni, Nasrullah Mengal, Bibi Masooma, Maria Zehri, Zeenat Razzaq, Aminullah, Irfan, Mehreen Butt, Fakhira Nizam, Masooma Hameed, Munir Ahmed, Sumbal Hayat
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