Journals / Anadolu Tıp Dergisi / 2002 / Cilt: 4 - Sayı: 1

Beyinin normal yaşlanmasına eşlik eden bilgisayarlı tomografi dansite değerleri

Computer tomography density values associated with normal aging of the brain

Pages
36–40
Publication Date
2022-10-10
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The analyses between these age groups and all the specific regions' density values (DV) of the brain were found to be statistically significant.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the present study; Computed Tomography (CT) sections were used to measure the specific brain regions density (SBRD) values as a Hounsfield Unit (HU). 190 healthy subjects were investigated according to the structural differences during the maturation of the brain, and span of life.
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Key Findings & Data:Considering these process the subjects were grouped as; 1-17,18-30 and 31-60, 61-80 years.
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Conclusion & Impact:The analyses between these age groups and all the specific regions' density values (DV) of the brain were found to be statistically significant.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In the present study; Computed Tomography (CT) sections were used to measure the specific brain regions density (SBRD) values as a Hounsfield Unit (HU). 190 healthy subjects were investigated according to the structural differences during the maturation of the brain, and span of life. Considering these process the subjects were grouped as; 1-17,18-30 and 31-60, 61-80 years. The analyses between these age groups and all the specific regions' density values (DV) of the brain were found to be statistically significant.

Özet

Bu çalışmada sağlıklı olgulardan elde edilen Bilgisayarlı Tomografi görüntüleri üzerinde spesifik beyin bölgelerinin dansite değerleri Hounsfıld Ünitesi cinsinden ölçüldü. İncelenen 190 olgu, yaş ile birlikte beyinin matürasyonu sürecinde, gösterdiği yapısal değişimler göz önüne alınarak, 1-17, 18-30, 31-60 ve 61-80 yaş gruplarına ayrıldı. Bu yaş grupları ile spesifik beyin bölgelerinin dansite değerleri arasında yapılan istatistiki analizler anlamlı bulundu.

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Cite This Article

GÜMÜŞBURUN, E., ERDIL, H., IŞIK, O. (2022). Beyinin normal yaşlanmasına eşlik eden bilgisayarlı tomografi dansite değerleri. Anadolu Tıp Dergisi, Cilt: 4 - Sayı: 1, 36–40. https://ajindex.com/articles/438152

References (14)

  1. Alfidi RJ, Macintyre WJ. Computed Tomography Standardization. Radiol 1976
  2. Arimitsu T, Di Chiro G, Brooks RA, et al. White-Gray Matter Differentiation in Computed Tomography. J Comput Assist Tomogr 1987
  3. Belanger MG, Yasnoff WA, Penn RD,et al. Automated Scene Analysis of CT Scans. Comput Tomg 1979
  4. Bondareff W, Baldy R, Levy R. Quantative Computed Tomography in Senile Dementia. Arch Gen Psyc 1981
  5. Brant-zawadzki M, Fein G, Van Dyke C.: MR Imaging of the Aging Brain: Patchy White Matter Lesions and Dementia. AJNR, 6: 675-682, 1985. 6-Colgan J, Naguib M, Levy R. Computed Tomographic Density Numbers:A Comparative Study of Patients With Senile Dementia and Normal Elderly Controls 1986
  6. Daniel DG,Kim E, et al. Computed Tomography Measurements of Brain Density in Schizophrenia. Biol Psyc 1991
  7. DeLeo JM, Schwartz M, Creasey H, et al. Computer Assisted Categorization of the Brain Computerized: Tomography pixels into Cerebrospinal fluid, White Matter and Gray matter. Comp and Biomed Res 1985
  8. Dere F. Nöroanatomi ve Fonsiyonel Nöroloji. Okullar pazarı Kitabevi, Adana, 1990, pp: 1 -45 10-Diren B. Manyetik Rezonans Görüntüleme Kranium I, Genel Yaklaşımlar-Konjenital Anomaliler. Mine Ofset Ltd. Şti, Ankara, 1994, pp: 44-56. 11-Eisenberg RL (1987). Diagnostic Imaging in Surgery. Mc Graw Hill Book Comp, Toronto, pp:601-634 12-Ertekin C. Nörolojide Fizyopatoloji ve Tedavi. Bilgehan Matbaacılık, İzmir, 1987, pp: 779-799 13-Fukuda H,: Kobayashi S, Koide IT, et al. Age-Related Changes in Cerebral White Matter Measured by Computed Tomography. Comp Med Imaging Graph 1990
  9. Golden JG, Graber B, Coffman J,et al. Structural Brain Deficits in Schizophrenia. Arch Gen Psych. 1981
  10. Gonzales CF.: Head and Spine Imaging. A Wiley Medical Publication, New York, p: 60, 1985. 16-Haaga JR, Alfidi RJ. Computed Tomography of the Whole Body. The C.V Mosby, 1988. 17-Handa J, Nakano Y, Handa H. Computed tomography the Differential Diagnosis of Low Density Inracranial Lesions. Surg Neurol 1978
  11. Heinz ER, Drayer BP, Haenggeli CA, et al. Computed Tomography in White Matter Disease. Radiol 1979
  12. Jacoby RJ, Dolan RJ, Levy R, et al. Quantative Computed Tomography in Elderly Depressed Patients.Brit J Psych 1983
  13. Kholmeyer K. Problems in CT Diagnosis the Aging Brain. Radiol 1989
  14. Kono E, Hirano M. Density Value