| Literature DB >> 25272160 |
Clothilde Isabel1, Augustin Lecler2, Guillaume Turc1, Olivier Naggara2, Emmanuelle Schmitt3, Samia Belkacem4, Catherine Oppenheim2, Emmanuel Touzé1.
Abstract
OBJECTIVE: Watershed infarcts (WSI) are thought to result from hemodynamic mechanism, but studies have suggested that microemboli from unstable carotid plaques may distribute preferentially in watershed areas, i.e., between two cerebral arterial territories. Intraplaque haemorrhage (IPH) is an emerging marker of plaque instability and microembolic activity. We assessed the association between WSI and IPH in patients with recently symptomatic moderate carotid stenosis. METHODS ANDEntities:
Mesh:
Year: 2014 PMID: 25272160 PMCID: PMC4182714 DOI: 10.1371/journal.pone.0108712
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Watershed territories, on sequence Fluid Attenuated Inversion Recovery (FLAIR; at the top) and corresponding illustrative cases Diffusion-Weighted Imaging (DWI; below); in blue: cortical watershed, in red: internal watershed; (a) frontal WSI: between the anterior and the middle cerebral arterial territories, (a, b) occipital WSI: at the boundaries of the middle and the posterior arterial territories; (c) internal WSI: between territories of superficial and deep perforators of the middle cerebral artery; (d) paramedian WSI: between the anterior and the middle cerebral arterial territories.
WSI = watershed infarct.
Comparison between patients with watershed infarct (WSI +) and those with no watershed infarct (WSI -).
| WSI+(n = 14) | WSI - (n = 51) | |
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| Age, median (IQR), years | 67 (60–71) | 69 (59–75) |
| Male gender, n (%) | 11 (79) | 37 (73) |
| High blood pressure, n (%) | 8 (57) | 33 (65) |
| Diabetes, n (%) | 3 (21) | 8 (16) |
| Dyslipemia, n (%) | 9 (64) | 28 (55) |
| Current smoking, n (%) | 5 (36) | 14 (28) |
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| Median degree of stenosis (interquartile range), % | ||
| NASCET | 40 (25–50) | 30 (15–39) |
| ECST | 60 (52–70) | 60 (52–65) |
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| Presence of IPH (≥1 slice), n (%) | 7 (50%) | 16 (31%) |
*one data missing.