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颈动脉斑块超声图像的计算机纹理分析可以识别与同侧神经症状相关的不稳定斑块。

Computerized texture analysis of carotid plaque ultrasonic images can identify unstable plaques associated with ipsilateral neurological symptoms.

机构信息

Department of Vascular Surgery, Imperial College London, London, UK.

出版信息

Angiology. 2011 May;62(4):317-28. doi: 10.1177/0003319710384397.

DOI:10.1177/0003319710384397
PMID:21474467
Abstract

We estimated the value of objective, computerized texture analysis of ultrasonic images in distinguishing carotid plaques associated with neurological ipsilateral symptoms (amaurosis fugax [AmF; n = 30], transient ischemic attack [TIA; n = 52], and stroke [n = 55]) from asymptomatic plaques (n = 51). We performed 3 case-control studies (1/symptom with asymptomatic plaques as control). On logistic regression, AmF was independently associated with severity of stenosis, percentage of pixels with gray levels 0 to 10 (PPCS1; measure of echolucency), and spatial gray level dependence matrices (SGLDM) information measure of correlation (IMC-1; texture); TIAs with PPCS1 (echolucency), SGLDM correlation, and skewness (both texture); and stroke with PPCS1, SGLDM correlation, and percentage of pixels with gray levels 11 to 20 (PPCS2; echolucency). The area under the curve of the regression-derived predicted probability for AmF, TIA, and stroke was 0.92, 0.82, and 0.85, respectively (all P < .001). Texture analysis can identify carotid plaques associated with a neurological event, improving the diagnostic value of echolucency measures. Texture analyses could be applied to natural history studies.

摘要

我们评估了超声图像客观、计算机化纹理分析在区分与同侧神经症状(一过性黑矇[AmF;n = 30]、短暂性脑缺血发作[TIA;n = 52]和中风[n = 55])相关的颈动脉斑块与无症状斑块(n = 51)方面的价值。我们进行了 3 项病例对照研究(以每 1 个症状患者配对 1 个无症状斑块患者作为对照)。在逻辑回归分析中,AmF 与狭窄严重程度、灰度水平为 0 到 10 的像素百分比(PPCS1;衡量回声衰减程度)以及空间灰度依赖性矩阵(SGLDM)信息相关度量(IMC-1;纹理)独立相关;TIA 与 PPCS1(回声衰减程度)、SGLDM 相关和偏度(均为纹理)相关;而中风与 PPCS1、SGLDM 相关和灰度水平为 11 到 20 的像素百分比(PPCS2;回声衰减程度)相关。基于回归推导的预测概率的曲线下面积,AmF、TIA 和中风的分别为 0.92、0.82 和 0.85(均<0.001)。纹理分析可以识别与神经事件相关的颈动脉斑块,提高回声衰减程度测量的诊断价值。纹理分析可应用于自然史研究。

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Computerized texture analysis of carotid plaque ultrasonic images can identify unstable plaques associated with ipsilateral neurological symptoms.颈动脉斑块超声图像的计算机纹理分析可以识别与同侧神经症状相关的不稳定斑块。
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