Age-related Cerebral White Matter Changes on Computed Tomography
Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured...
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| Published in | Nihon Rōnen Igakkai zasshi Vol. 26; no. 1; pp. 19 - 25 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
Japan
The Japan Geriatrics Society
01.01.1989
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0300-9173 |
| DOI | 10.3143/geriatrics.26.19 |
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| Abstract | Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured the average attenuation values (CT numbers) of each elliptical region (165 pixels, 0.39cm2) in the bilateral thalamus and twelve areas of deep white matter. Multiple regression analysis was used to assess the effects of age, cranial size and cranial bone CT numbers on the brain CT numbers. We also studied the association between brain CT numbers and brain atrophy, hypertension, diabetes mellitus. CT numbers of frontal white matter surrounding anterior horns decreased with aging in 70 subjects aged 30 to 94 years. No significant correlation between age and brain CT numbers was found in any other region by multivariate analysis, because of the prominent effect of cranial bone CT numbers on brain CT numbers. Although no age-related changes of white matter CT numbers was found in 41 subjects aged 30 to 65 years, there were significant negative correlations between age and white matter CT numbers at all regions in 29 subjects aged 66 to 94 years. Brain atrophy was associated with brain CT numbers. No association was found for hypertension or diabetes mellitus. Brain CT numbers decreased with aging even in neurologically healthy persons in older age. Brain CT numbers also decreased as cerebral atrophy advanced. |
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| AbstractList | Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured the average attenuation values (CT numbers) of each elliptical region (165 pixels, 0.39cm2) in the bilateral thalamus and twelve areas of deep white matter. Multiple regression analysis was used to assess the effects of age, cranial size and cranial bone CT numbers on the brain CT numbers. We also studied the association between brain CT numbers and brain atrophy, hypertension, diabetes mellitus. CT numbers of frontal white matter surrounding anterior horns decreased with aging in 70 subjects aged 30 to 94 years. No significant correlation between age and brain CT numbers was found in any other region by multivariate analysis, because of the prominent effect of cranial bone CT numbers on brain CT numbers. Although no age-related changes of white matter CT numbers was found in 41 subjects aged 30 to 65 years, there were significant negative correlations between age and white matter CT numbers at all regions in 29 subjects aged 66 to 94 years. Brain atrophy was associated with brain CT numbers. No association was found for hypertension or diabetes mellitus. Brain CT numbers decreased with aging even in neurologically healthy persons in older age. Brain CT numbers also decreased as cerebral atrophy advanced. Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured the average attenuation values (CT numbers) of each elliptical region (165 pixels, 0.39 cm2) in the bilateral thalamus and twelve areas of deep white matter. Multiple regression analysis was used to assess the effects of age, cranial size and cranial bone CT numbers on the brain CT numbers. We also studied the association between brain CT numbers and brain atrophy, hypertension, diabetes mellitus. CT numbers of frontal white matter surrounding anterior horns decreased with aging in 70 subjects aged 30 to 94 years. No significant correlation between age and brain CT numbers was found in any other region by multivariate analysis, because of the prominent effect of cranial bone CT numbers on brain CT numbers. Although no age-related changes of white matter CT numbers was found in 41 subjects aged 30 to 65 years, there were significant negative correlations between age and white matter CT numbers at all regions in 29 subjects aged 66 to 94 years. Brain atrophy was associated with brain CT numbers. No association was found for hypertension or diabetes mellitus. Brain CT numbers decreased with aging even in neurologically healthy persons in older age. Brain CT numbers also decreased as cerebral atrophy advanced.Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured the average attenuation values (CT numbers) of each elliptical region (165 pixels, 0.39 cm2) in the bilateral thalamus and twelve areas of deep white matter. Multiple regression analysis was used to assess the effects of age, cranial size and cranial bone CT numbers on the brain CT numbers. We also studied the association between brain CT numbers and brain atrophy, hypertension, diabetes mellitus. CT numbers of frontal white matter surrounding anterior horns decreased with aging in 70 subjects aged 30 to 94 years. No significant correlation between age and brain CT numbers was found in any other region by multivariate analysis, because of the prominent effect of cranial bone CT numbers on brain CT numbers. Although no age-related changes of white matter CT numbers was found in 41 subjects aged 30 to 65 years, there were significant negative correlations between age and white matter CT numbers at all regions in 29 subjects aged 66 to 94 years. Brain atrophy was associated with brain CT numbers. No association was found for hypertension or diabetes mellitus. Brain CT numbers decreased with aging even in neurologically healthy persons in older age. Brain CT numbers also decreased as cerebral atrophy advanced. Changes of cerebral white matter on computed cranial tomography related to aging were studied in 70 subjects aged 30 to 94 years. The subjects had no histories of cerebrovascular accidents and no abnormalities in the central nervous system were shown by physical examinations nd CT scans. We measured the average attenuation values (CT numbers) of each elliptical region (165 pixels, 0.39 cm2) in the bilateral thalamus and twelve areas of deep white matter. Multiple regression analysis was used to assess the effects of age, cranial size and cranial bone CT numbers on the brain CT numbers. We also studied the association between brain CT numbers and brain atrophy, hypertension, diabetes mellitus. CT numbers of frontal white matter surrounding anterior horns decreased with aging in 70 subjects aged 30 to 94 years. No significant correlation between age and brain CT numbers was found in any other region by multivariate analysis, because of the prominent effect of cranial bone CT numbers on brain CT numbers. Although no age-related changes of white matter CT numbers was found in 41 subjects aged 30 to 65 years, there were significant negative correlations between age and white matter CT numbers at all regions in 29 subjects aged 66 to 94 years. Brain atrophy was associated with brain CT numbers. No association was found for hypertension or diabetes mellitus. Brain CT numbers decreased with aging even in neurologically healthy persons in older age. Brain CT numbers also decreased as cerebral atrophy advanced. |
| Author | Kobayashi, Shotai Koide, Hiromi Fukuda, Hitoshi Shimote, Kouichi Yamaguchi, Shuhei Tsunematsu, Tokugoro Okada, Kazunori |
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| References | 6) 木谷光博, 小林祥泰, 山口修平, 勝部知子, 岡田和悟, 村田昭博, 恒松徳五郎: CT scan による大脳の加齢性萎縮の検討-Digitizer による断面積比を用いて-. CT研究6: 659-666, 1984. 11) George AE, de Leon MJ, Gentes CI, Miller J, London E, Budzilovich GN, Ferris S, Chase N: Leukoencephalopathy in nromal and pathologic aging: 1. CT of brain lucencies. AJNR 7: 561-566, 1986. 16) Awad IA, Spetzler RF, Hodak JA, Awad CA, Carey R: Incidental subcortical lesions identified on magnetic esonance imagingin the elderly, 1. Correlation with age and cerebrovascular risk factors. SStroke 17: 1084-1089, 1989. 2) Cala LA, Thickbroom GW, BLack JL, Collins DWK, Mastaglia FL: Brain density and cerebrospinal fluid space size: CT of nromal volunteers. AJNR 2: 41-47, 1981. 18) Sze G, De Armond S, Brant Zawadzki M, Davis R, DeGroot J, Norman D, Newton TH:“Abnormal”MRI foci anterior to the frontal horns: pathologic correlates of an ubiquitous finding. AJNR 6: 467-468, 1985. 19) Kirkpatrick JB, Hayman LA: White-Matter lesions in MR Imaging of clinically healthy brains of elderly subjects: Possible pathologic basis. Radiology 162: 509-511, 1987. 10) Barnes DM, Enzmann DR: The evolution of white matter disease as seen on computed tomography. Radiology 138: 379-383, 1981. 5) Naeser MA, Gebhardt C, Levine HL: Decreased computerized tomography Numbers in patients with presenile dementia-Detection in patients with otherwise normal scans. Arch Neurol 37: 401-409, 1980. 3) Wilson RS, Fox JH, Huckman MS, Bacon LD, Lobick JJ: Computed tomography in dementia. Neurology 32: 1054-1057, 1982. 17) Awad IA, Johnson PC, Spetzler RF, Hodak JA: Incidental subcortical lesions indentified on magnetic resonance imaging in the elderly. 2. Postmortem pathological correlations. Stroke 17: 1090-1097, 1986. 15) Kertesz A, Black SE, Tokar G, Benke T, Can T, Nicholson L: Periventricular and subcortical hypertensities on magnetic resonance imaging‘Rims, Caps, and Unidentified Bright Objects’. Arch Neurol 45: 404-408, 1988. 20) Marshall VG, Bradley WG Jr, Marshall CE, Bhoopat T, Rhodes RH: Deep white matter infarction: Correlation of MR Imaging and histopathologic findings. Radiology 167: 517-522, 1988 14) Sarpel G, Chaudry F, Hindo W: Magnetic resonance imaging of periventricular hyperintensity in a vetrerans administration hospital population. Arch Neurol 44: 725-728, 1987. 12) Inzitari D, Diaz F, Fox A, Hachinski VC, Stein-Bart A, et al: Vascular risk ractors ajnd leuko-araiosis. Arch Neurol 44: 42-47, 1987. 1) Zatz LM, Jernigan TL, Ahumada AJ Jr: White matter changes in cerebral computed tomography related to aging. J Comput Assist Tomogr 6 (1): 19-23, 1982. 8) Anderson JM, Hubbard BM, Coghill GR, Slidders W: The effect of advanced old age on the neuron content of the cerebral cortex. J Neurol Sci 58: 233-244, 1983. 13) Brant-Zawadzhi M, Fein G, Dyke CV, Kiernan R, Davenport L, de Groot J: MR imaging of the aging brain: patchy white Matter lesions and dementia. AJNR 6: 675-682, 1985. 4) Bondareff W, Baldy R, Levy R: Quantitative computed tomography in sensile dementia. Arch Gen Psychiatry 38: 1365-1368, 1981. 9) Miller AKH, Alston RL, Corsellis JAN: Variation with age in the volumes of grey and white matter in the cerebral hemispheres of man: Measurements with an image analyzer. Neuropathol Appl Neurobiol 6: 119-132, 1980. 7) Hubbard BM, Anderson JM: A quantitative study of cerebral atrophy in old age and senile dementia. J Neurol Sci 50: 135-145, 1981. |
| References_xml | – reference: 5) Naeser MA, Gebhardt C, Levine HL: Decreased computerized tomography Numbers in patients with presenile dementia-Detection in patients with otherwise normal scans. Arch Neurol 37: 401-409, 1980. – reference: 1) Zatz LM, Jernigan TL, Ahumada AJ Jr: White matter changes in cerebral computed tomography related to aging. J Comput Assist Tomogr 6 (1): 19-23, 1982. – reference: 13) Brant-Zawadzhi M, Fein G, Dyke CV, Kiernan R, Davenport L, de Groot J: MR imaging of the aging brain: patchy white Matter lesions and dementia. AJNR 6: 675-682, 1985. – reference: 11) George AE, de Leon MJ, Gentes CI, Miller J, London E, Budzilovich GN, Ferris S, Chase N: Leukoencephalopathy in nromal and pathologic aging: 1. CT of brain lucencies. AJNR 7: 561-566, 1986. – reference: 16) Awad IA, Spetzler RF, Hodak JA, Awad CA, Carey R: Incidental subcortical lesions identified on magnetic esonance imagingin the elderly, 1. Correlation with age and cerebrovascular risk factors. SStroke 17: 1084-1089, 1989. – reference: 20) Marshall VG, Bradley WG Jr, Marshall CE, Bhoopat T, Rhodes RH: Deep white matter infarction: Correlation of MR Imaging and histopathologic findings. Radiology 167: 517-522, 1988 – reference: 4) Bondareff W, Baldy R, Levy R: Quantitative computed tomography in sensile dementia. Arch Gen Psychiatry 38: 1365-1368, 1981. – reference: 7) Hubbard BM, Anderson JM: A quantitative study of cerebral atrophy in old age and senile dementia. J Neurol Sci 50: 135-145, 1981. – reference: 8) Anderson JM, Hubbard BM, Coghill GR, Slidders W: The effect of advanced old age on the neuron content of the cerebral cortex. J Neurol Sci 58: 233-244, 1983. – reference: 9) Miller AKH, Alston RL, Corsellis JAN: Variation with age in the volumes of grey and white matter in the cerebral hemispheres of man: Measurements with an image analyzer. Neuropathol Appl Neurobiol 6: 119-132, 1980. – reference: 12) Inzitari D, Diaz F, Fox A, Hachinski VC, Stein-Bart A, et al: Vascular risk ractors ajnd leuko-araiosis. Arch Neurol 44: 42-47, 1987. – reference: 3) Wilson RS, Fox JH, Huckman MS, Bacon LD, Lobick JJ: Computed tomography in dementia. Neurology 32: 1054-1057, 1982. – reference: 6) 木谷光博, 小林祥泰, 山口修平, 勝部知子, 岡田和悟, 村田昭博, 恒松徳五郎: CT scan による大脳の加齢性萎縮の検討-Digitizer による断面積比を用いて-. CT研究6: 659-666, 1984. – reference: 19) Kirkpatrick JB, Hayman LA: White-Matter lesions in MR Imaging of clinically healthy brains of elderly subjects: Possible pathologic basis. Radiology 162: 509-511, 1987. – reference: 10) Barnes DM, Enzmann DR: The evolution of white matter disease as seen on computed tomography. Radiology 138: 379-383, 1981. – reference: 2) Cala LA, Thickbroom GW, BLack JL, Collins DWK, Mastaglia FL: Brain density and cerebrospinal fluid space size: CT of nromal volunteers. AJNR 2: 41-47, 1981. – reference: 18) Sze G, De Armond S, Brant Zawadzki M, Davis R, DeGroot J, Norman D, Newton TH:“Abnormal”MRI foci anterior to the frontal horns: pathologic correlates of an ubiquitous finding. AJNR 6: 467-468, 1985. – reference: 15) Kertesz A, Black SE, Tokar G, Benke T, Can T, Nicholson L: Periventricular and subcortical hypertensities on magnetic resonance imaging‘Rims, Caps, and Unidentified Bright Objects’. Arch Neurol 45: 404-408, 1988. – reference: 17) Awad IA, Johnson PC, Spetzler RF, Hodak JA: Incidental subcortical lesions indentified on magnetic resonance imaging in the elderly. 2. Postmortem pathological correlations. Stroke 17: 1090-1097, 1986. – reference: 14) Sarpel G, Chaudry F, Hindo W: Magnetic resonance imaging of periventricular hyperintensity in a vetrerans administration hospital population. Arch Neurol 44: 725-728, 1987. |
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| SubjectTerms | Adult age-related changes Aged Aged, 80 and over Aging - pathology Atrophy Brain - diagnostic imaging Brain - pathology cerebral white matter computed tomography CT numbers Female Humans Male Middle Aged Nerve Tissue - pathology Tomography, X-Ray Computed |
| Title | Age-related Cerebral White Matter Changes on Computed Tomography |
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