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Research Article Open access CC BY 4.0

Effect of Age and Gender Variation in Normal Pituitary Gland Height Using Magnetic Resonance Imaging

Abubaker E. Mohieldin, Duha A. Mohamed, Mustafa Z. Mahmoud, Maram A. Fagiri, Ahmed Abukonna

Journal of Advances in Medicine and Medical Research · pp. 1–8 · Published 25 Oct 2016

10.9734/BJMMR/2016/29162

Abstract

Aims: The aim of this study was to analyze the age and sex related changes in pituitary gland height in a selected population from Sudan, and also to compare findings with those of other authors. Study Design: This prospective study included 50 participants (25 males and 25 females; ages range between 2-65 years) underwent brain magnetic resonance imaging (MRI) examination. Place and Duration of Study: This study was conducted in different MRI centers in Khartoum, Sudan between March 2016 and August 2016. Methodology: In order to measure pituitary gland height, MRI T1 weighted sagittal images were obtained using General Electric (GE) Signa HDe 1.5 T MRI system. The unpaired t-test was used for the statistical significance, P-value ≤ 0.0001 considered significant. Statistical analysis was performed using the standard Statistical Package for the Social Sciences (SPSS Inc., Chicago, IL, USA) version 20 for windows. Results: The mean value of pituitary gland height in the sample was (5.4±1 mm). Mean pituitary gland height of females (5.65±1.21 mm) was greater than that of males (5.13±0.69 mm). A significant correlation was noted between pituitary gland height in both sexes during age ranges 11-21 years, 22-32 years, 33-43 years, and 44-54 years respectively. A gradual decrease in the height was noted to start in the mid of the fifth decade of life in both sexes. Conclusion: A reference value of normal pituitary gland height was obtained in Sudanese population. The height of the gland was greater in females. There was a gradual increase in height of the gland with age.

Pituitary gland prospective study height magnetic resonance imaging

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Cited by 9

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Pituitary Gland Size Estimation and Lesion Detection using Segmentation-based Color Thresholding Technique

Gurjot Singh, Vinay Gautam · 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) · 2023

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