과제정보
This study was supported by AJA University of medical sciences (ethics committee code: IR.AJAUMS.REC.1402.049). Our gratitude goes to the staff of the medical imaging center of Imam Reza AJA Hospital, Tehran, Iran.
참고문헌
- Berrington de Gonzalez A, Pasqual E, Veiga L. Epidemiological studies of CT scans and cancer risk: the state of the science. Br J Radiol 2021;94:20210471. Erratum in: Br J Radiol 2022;95:20210471c.
- Ghorbanlou M, Moradi F, Mehdizadeh M. Frequency, shape, and estimated volume of intracranial physiologic calcification in different age groups investigated by brain computed tomography scan: a retrospective study. Anat Cell Biol 2022;55:63-71. https://doi.org/10.5115/acb.21.137
- Ugwuanyi DC, Sibeudu TF, Irole CP, Ogolodom MP, Nwagbara CT, Ibekwe AM, Mbaba AN. Evaluation of common findings in brain computerized tomography (CT) scan: a single center study. AIMS Neurosci 2020;7:311-8. https://doi.org/10.3934/Neuroscience.2020017
- Curra A, Pierelli F, Gasbarrone R, Mannarelli D, Nofroni I, Matone V, Marinelli L, Trompetto C, Fattapposta F, Missori P. The ventricular system enlarges abnormally in the seventies, earlier in men, and first in the frontal horn: a study based on more than 3,000 scans. Front Aging Neurosci 2019;11:294.
- Chrzan R, Glen A, Bryll A, Urbanik A. Computed tomography assessment of brain atrophy in centenarians. Int J Environ Res Public Health 2019;16:3659.
- Ghorbanlou M, Moradi F, Asgari HR. Morphometric study of sternum by computed tomography in an Iranian population: a method to discriminate between male and female. Forensic Imaging 2022;28:200501.
- Kolsur N, PM R, Shetty S, Kumar A. Morphometric study of ventricular indices in human brain using computed tomography scans in Indian population. Int J Anat Res 2018;6:5574-80. https://doi.org/10.16965/ijar.2018.286
- Sungura R, Onyambu C, Mpolya E, Sauli E, Vianney JM. The extended scope of neuroimaging and prospects in brain atrophy mitigation: a systematic review. Interdiscip Neurosurg 2021;23:100875.
- Xiong YY, Mok V. Age-related white matter changes. J Aging Res 2011;2011:617927.
- Bagarinao E, Watanabe H, Maesawa S, Mori D, Hara K, Kawabata K, Yoneyama N, Ohdake R, Imai K, Masuda M, Yokoi T, Ogura A, Wakabayashi T, Kuzuya M, Ozaki N, Hoshiyama M, Isoda H, Naganawa S, Sobue G. An unbiased data-driven agerelated structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan. Neuroimage 2018;169:134-44. https://doi.org/10.1016/j.neuroimage.2017.12.014
- He W, Fang X, Wang X, Gao P, Gao X, Zhou X, Mao R, Hu J, Hua Y, Xia J. A new index for assessing cerebral ventricular volume in idiopathic normal-pressure hydrocephalus: a comparison with Evans' index. Neuroradiology 2020;62:661-7. https://doi.org/10.1007/s00234-020-02361-8
- Yang WJ, Wasserman BA, Zheng L, Huang ZQ, Li J, Abrigo J, Wong SS, Ying MT, Chu WC, Wong LK, Leung TW, Chen XY. Understanding the clinical implications of intracranial arterial calcification using brain CT and vessel wall imaging. Front Neurol 2021;12:619233.
- Dzefi-Tettey K, Edzie EKM, Gorleku PN, Brakohiapa EK, Osei B, Asemah AR, Kusodzi H. Evans index among adult Ghanaians on normal head computerized tomography scan. Heliyon 2021;7:e06982.
- Cherbuin N, Reglade-Meslin C, Kumar R, Sachdev P, Anstey KJ. Mild cognitive disorders are associated with different patterns of brain asymmetry than normal aging: the path through life study. Front Psychiatry 2010;1:11.
- Kiroglu Y, Karabulut N, Oncel C, Yagci B, Sabir N, Ozdemir B. Cerebral lateral ventricular asymmetry on CT: how much asymmetry is representing pathology? Surg Radiol Anat 2008;30:249-55. https://doi.org/10.1007/s00276-008-0314-9
- Selkoe DJ, Hardy J. The amyloid hypothesis of Alzheimer's disease at 25 years. EMBO Mol Med 2016;8:595-608. https://doi.org/10.15252/emmm.201606210
- Anderson VM, Fox NC, Miller DH. Magnetic resonance imaging measures of brain atrophy in multiple sclerosis. J Magn Reson Imaging 2006;23:605-18. https://doi.org/10.1002/jmri.20550
- Madan CR. Advances in studying brain morphology: the benefits of open-access data. Front Hum Neurosci 2017;11:405.
- Ritter A, Hawley N, Banks SJ, Miller JB. The association between Montreal Cognitive Assessment memory scores and hippocampal volume in a neurodegenerative disease sample. J Alzheimers Dis 2017;58:695-9. https://doi.org/10.3233/JAD-161241
- Ferreira D, Hansson O, Barroso J, Molina Y, Machado A, Hernandez-Cabrera JA, Muehlboeck JS, Stomrud E, Nagga K, Lindberg O, Ames D, Kalpouzos G, Fratiglioni L, Backman L, Graff C, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, Lovestone S, Ahlstrom H, Lind L, Larsson EM, Wahlund LO, Simmons A, Westman E. The interactive effect of demographic and clinical factors on hippocampal volume: a multicohort study on 1958 cognitively normal individuals. Hippocampus 2017;27:653-67. https://doi.org/10.1002/hipo.22721
- Wang Y, Leiberg K, Ludwig T, Little B, Necus JH, Winston G, Vos SB, Tisi J, Duncan JS, Taylor PN, Mota B. Independent components of human brain morphology. Neuroimage 2021; 226:117546.