COMPUTER-ASSISTED CAROTID PLAQUE CHARACTERIZATION

被引:125
作者
ELBARGHOUTY, N
GEROULAKOS, G
NICOLAIDES, A
ANDROULAKIS, A
BAHAL, V
机构
[1] Academic Vascular Unit, St Mary's Hospital Medical School, London
关键词
CAROTID PLAQUES; COMPUTERIZED CHARACTERIZATION;
D O I
10.1016/S1078-5884(05)80005-X
中图分类号
R61 [外科手术学];
学科分类号
摘要
Objective: To determine the relationship between plaque echogenicity as measur Patients and methods: Eighty-seven patients with 148 plaques producing more than 50% internal carotid artery stenosis were studied. Sixty-nine plaques were in asymptomatic patients, 35 were associated with amaurosis fugax, 19 with transient ischaemic attacks and 25 with stroke. All patients had a CT brain scan and the presence of ipsilateral cerebral infarction was noted. Images of the plaques obtained with an ATL Ultramark-4 Duplex scanner (7.5 MHz high resolution probe) were transferred to a computer. Using an image analysis program a histogram for each plaque was obtained with the number of pixels plotted against the grey scale (0-225). The median of the grey scale was used as a measure of echogenicity. Results: Fifty-three (36%) of the 148 plaques were associated with ipsilateral CT brain infarction. Plaques with a grey scale median more than 32 (echogenic) were associated with an incidence of 11% (7/64) CT infarction. In contrast, plaques with grey scale median below or equal to 32 (echolucent) were associated with 55% (46/84) incidence of CT infarction chi(2) = 30.35, p < 0.002, relative risk = 22, 95% confidence interval from 4.7 to 108). Conclusion: This study indicates that computer analysis of carotid plaque can identify high-risk carotid plaques. The potential of such analysis in the identification of asymptomatic high-risk patients should be explored in further studies.
引用
收藏
页码:389 / 393
页数:5
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