| Title |
Investigation of cerebral iron deposition in aged patients with ischemic cerebrovascular disease using susceptibility-weighted imaging
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, August 2016
|
| DOI | 10.2147/tcrm.s107783 |
| Pubmed ID | |
| Authors |
Yin Liu, Jun Liu, Huanghui Liu, Yunjie Liao, Lu Cao, Bin Ye, Wei Wang |
| Abstract |
The aim of this study was to investigate focal iron deposition level in the brain in patients with ischemic cerebrovascular disease and its correlation with cerebral small vessel disease imaging markers. Seventy-four patients with first-ever transient ischemic attack (median age: 69 years; 30 males and 44 females) and 77 patients with positive ischemic stroke history (median age: 72 years; 43 males and 34 females) were studied retrospectively. On phase image of susceptibility-weighted imaging and regions of interest were manually drawn at the bilateral head of the caudate nucleus, lenticular nucleus (LN), thalamus (TH), frontal white matter, and occipital white matter. The correlation between iron deposition level and the clinical and imaging variables was also investigated. Iron deposition level at LN was significantly higher in patients with previous stroke history. It linearly correlated with the presence and number of cerebral microbleeds (CMBs) but not with white matter hyperintensity and lacunar infarct. Multiple linear regression analysis showed that deep structure CMBs were the most relevant in terms of iron deposition at LN. Iron deposition at LN may increase in cases of more severe ischemia in aged patients with transient ischemic attack, and it may be an imaging marker for CMB of ischemic origin. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Bachelor | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Nursing and Health Professions | 2 | 11% |
| Arts and Humanities | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2016.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Therapeutics and Clinical Risk Management
#809
of 1,323 outputs
Outputs of similar age
#242,202
of 381,020 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#22
of 45 outputs
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