Evaluation of physiologic pineal gland calcification via computed tomography in the pediatric population

Evaluation of physiologic pineal gland calcification via computed tomography in the pediatric population

Aim: To determine the area, density and morphology of physiologic pineal gland calcification in the preadolescents and adolescentsusing computed tomography and to evaluate correlations with age and sex.Material and Methods: This retrospective study evaluated 220 cases (110 males, 110 females) with ages ranging from 7-17years (mean age: 12±3.17). Cases were divided into two groups according to age of 7-12 years (n=120, preadolescent) and 13-17years (n=100, adolescent). Morphology (homogeneous-heterogeneous), area (mm2) and density (Hounsfield Units [HU]) of pinealcalcifications were investigated on computed tomography. Comparisons were made between age groups and sex in terms of thesevariables.Results: This study found pineal calcification frequency was 50%, 35% and 67% in all cases, preadolescents, and adolescents,respectively. According to morphology, 60.9% of calcifications were homogeneous and 39.1% were heterogeneous. Mediancalcification area and density values were 8.50 (6-15) mm2 and 67 (50-109.75) HU, and 7 (4.75-14.25) mm2, and 67 (53.25-87.75) HU, for males and females, respectively, with no significant difference identified between the sexes (p=0.353 and p=0.463,respectively). Median calcification area in the preadolescent and adolescent age groups was 7 (6-12) and 10 (5-18) mm2, with nosignificant difference identified between the groups (p=0.175). Median density values were 70 (56-109) HU for adolescents and thiswas high compared to preadolescents (59 [47-78] HU) (p=0.005).Conclusion: Physiologic pineal calcification frequency, area, density and morphology were revealed for preadolescent andadolescents. These values may be used as qualitative and quantitative reference data for differentiation of normal/abnormal pinealcalcification in routine practice.

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  • 1. Yalcin A, Ceylan M, Bayraktutan OF, et al. Age and gender related prevalence of intracranial calcifications in CT imaging; datafrom 12,000 healthy subjects. J Chem Neuroanat 2016;78:20-4.
  • 2. Vassilatou E, Pikounis V, Economopoulos T, et al. Extensive bilateral cerebral calcifications in a patient with primary hypoparathyroidism. Arch Neurol 2010;67:888-89.
  • 3. Cañas CA, Tobón GJ. Multiple brain calcifications in a patient with systemic lupus erythematosus. Clin Rheumatol 2008;27:63-5.
  • 4. Simoni M, Pantoni L, Pracucci G,et al. Prevalence of CT-detected cerebral abnormalities in an elderly Swedish population sample. Acta Neurol Scand 2008;118:260-67.
  • 5. Daghighi MH, Rezaei V, Zarrintan S, et al. Intracranial physiological calcifications in adults on computed tomography in Tabriz, Iran. Folia Morphol (Warsz) 2007;66:115-19.
  • 6. Admassie D, Mekonnen A. Incidence of normal pineal and chroids plexus calcification on brain CT (computerized tomography) at Tikur Anbessa Teaching Hospital Addis Ababa, Ethiopia. Ethiop Med J 2009;47:55-60.
  • 7. Daghighi A, Tropp H. Computed tomography lung volume estimation and its relation to lung capacities and spine deformation. J Spine Surg 2019;5:132-41.
  • 8. Turgut AT, Sönmez I, Cakıt BD, et al. Pineal gland calcification, lumbar intervertebral disc degeneration and abdominal aorta calcifying atherosclerosis correlate in low back pain subjects: A cross-sectional observational CT study. Pathophysiology 2008;15:31- 9.
  • 9. You S, Kim EY, Park KJ, et al. Visual assessment of calcification in solitary pulmonary nodules on chest radiography: correlation with volumetric quantification of calcification. Eur Radiol 2019;29:4324-32.
  • 10. Gavrielides MA, Li Q, Zeng R,et al. Discrimination of Pulmonary Nodule Volume Change for Low- and Highcontrast Tasks in a Phantom CT Study with Low-dose Protocols. Acad Radiol 2018;26:937-48.
  • 11. Turgut AT, Karakaş HM, Ozsunar Y, et al. Age-related changes in the incidence of pineal gland calcification in Turkey: a prospective multicenter CT study. Pathophysiology 2008;15:41-8.
  • 12. Taner L, Uzuner FD, Demirel O, et al. Volumetric and three-dimensional examination of sella turcica by cone-beam computed tomography: reference data for guidance to pathologic pituitary morphology. Folia Morphol (Warsz) 2019;78:517-23.
  • 13. Sedghizadeh PP, Nguyen M, Enciso R. Intracranial physiological calcifications evaluated with cone beam CT. Dentomaxillofac Radiol 2012;41:675-78.
  • 14. Beker-Acay M, Turamanlar O, Horata E, et al. Assessment of Pineal Gland Volume and Calcification in Healthy Subjects: Is it Related to Aging? J Belg Soc Radiol 2016;100:13.
  • 15. Sumida M, Barkovich AJ, Newton TH. Development of the pineal gland: measurement with MR. AJNR Am J Neuroradiol 1996;17:233-36.
  • 16. Westphal M, Emami P. Pineal lesions: a multidisciplinary challenge. Adv Tech Stand Neurosurg 2015;42:79- 102.
  • 17. Smith AB, Rushing EJ, Smirniotopoulos JG. From the archives of the AFIP: lesions of the pineal region: radiologic-pathologic correlation. Radiographics 2010;30:2001-20.
  • 18. Bayrak S, Göller Bulut D, Kurşun Çakmak EŞ, et al. Cone Beam Computed Tomographic Evaluation of Intracranial Physiologic Calcifications. J Craniofac Surg 2019;30:510-13.
  • 19. Vígh B, Szél A, Debreceni K, et al. Comparative histiology of pineal calcification. Histol Histopathol 1998;13:851-70.
  • 20. Doyle AJ, Anderson GD. Physiologic calcification of the pineal gland in children on computed tomography: prevalence, observer reliability and association with choroid plexus calcification. Acad Radiol 2006;13:822- 26.
  • 21. Zimmerman RA, Bilaniuk LT. Age-related incidence of pineal calcification detected by computed tomography. Radiology 1982;142:659-62.
  • 22. Chang CG, Kageyama N, Kobayashi T, et al. Pineal tumors: clinical diagnosis, with special emphasis on the significance of pineal calcification. Neurosurgery 1981;8:656-68.
Annals of Medical Research-Cover
  • Yayın Aralığı: Aylık
  • Yayıncı: İnönü Üniversitesi Tıp Fakültesi
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