Abstract:
:The aim of this study was to develop a fast method for estimating whether a brain volume loss is within the normal range for the respective age of the patient. A readout-segmented diffusion-weighted echo-planar imaging sequence was performed as part of the routine examination at a 3-T scanner. Data without (b0-image) and with diffusion weighting (1000 s/mm(2)) from 492 patients were examined (in the age from 3 to 89 years). One hundred and seventy-three data-sets had to be excluded due to brain lesions or to pathological enlarged cerebrospinal fluid spaces. In the remaining 319 data-sets, apparent diffusion coefficients (ADCs) values were calculated for all pixels exceeding a combined threshold in the diffusion-weighted data and in the non-diffusion-weighted data. The first part of the histogram represents pixels containing mostly brain tissue. The percentage of number of pixels in this part of the ADC histograms was evaluated for all patients and was correlated with the age of the patients. In all the areas examined, a monotone change of relative pixel numbers with the age of the patients was found. The reduction of the contribution of pixels containing mostly brain tissue accelerated with age and was found to be 0.18%/year in the age of 20, 0.34%/year in the age of 50, and 0.50%/year in the age of 80. The observed decrease of the relative number of pixels from the brain tissue with increasing age corresponds to previously published results based on more time-consuming 3-D measurements. The presented technique uses a conventional clinical sequence and might be helpful in deciding whether an observed brain volume loss in a patient is within the normal range for the age of the patient.
journal_name
Front Aging Neuroscijournal_title
Frontiers in aging neuroscienceauthors
Klose U,Batra M,Nägele Tdoi
10.3389/fnagi.2013.00078subject
Has Abstractpub_date
2013-11-19 00:00:00pages
78issn
1663-4365journal_volume
5pub_type
杂志文章abstract:OBJECTIVE:Early-onset Alzheimer's disease (EAD) shows distinct features from late-onset Alzheimer's disease (LAD). To explore the characteristics of EAD, clinical, neuropsychological, and functional imaging studies have been conducted. However, differences between EAD and LAD are not clear, especially in terms of brain...
journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnagi.2017.00170
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abstract::The presence and pattern of iron accumulation in subcortical vascular mild cognitive impairment (svMCI) and their effects on cognition have rarely been investigated. We aimed to examine brain iron deposition in svMCI subjects using quantitative susceptibility mapping (QSM). Moreover, we aimed to investigate the correl...
journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
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更新日期:2014-12-10 00:00:00
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
doi:10.3389/fnagi.2018.00248
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnagi.2017.00194
更新日期:2017-06-14 00:00:00
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章,评审
doi:10.3389/fnagi.2017.00207
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
doi:10.3389/fnagi.2014.00107
更新日期:2014-06-10 00:00:00
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
doi:10.3389/fnagi.2017.00023
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pub_type: 杂志文章
doi:10.3389/fnagi.2019.00307
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
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pub_type: 杂志文章
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更新日期:2020-01-17 00:00:00
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pub_type: 杂志文章,评审
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journal_title:Frontiers in aging neuroscience
pub_type: 杂志文章
doi:10.3389/fnagi.2019.00026
更新日期:2019-02-26 00:00:00