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首页> 外文期刊>Journal of vascular surgery >Validation of automated contour analysis of intravascular ultrasound images after vascular intervention.
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Validation of automated contour analysis of intravascular ultrasound images after vascular intervention.

机译:血管介入后血管内超声图像自动轮廓分析的验证。

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摘要

PURPOSE: The purpose of this study was to determine the feasibility of automated contour analysis of intravascular ultrasound images obtained after vascular intervention. STUDY DESIGN: This was a descriptive study. METHODS: Intravascular ultrasound images obtained from patients after balloon angioplasty (n = 10), stent (n = 10), or stent graft placement (n = 10) were analyzed. A comparison was made between lumen area measured with an automated and a manual system. The location showing the smallest lumen area derived from the automated system was compared with the smallest lumen area selected by visual estimation. RESULTS: Images containing a dissection as a result of balloon angioplasty could not be analyzed by the automated system. The coefficient of variation between the lumen area measurements obtained with the automated system and the manual tracing system of images with a stent (n = 76) or stent graft (n = 79) was 2.7% and 2.1%, respectively. Correlation between the two systems was high (r = 1.00, p < 0.01) both for images containing stents or stent grafts. Minimum lumen area measured with the automated analysis system was smaller than minimum lumen area selected by visual estimation (mean difference 0.8 mm2 (4.9%) for stents and 2.4 mm2 (10.9%) for stent grafts). The location of the smallest lumen area determined with both systems was the same (<1 cm) in 16 cases and differed more than 1 cm in 4 other cases. CONCLUSIONS: The automated analysis system shows good agreement with manual contour analysis of lumen area in images with a stent or stent graft and is a reliable tool for determination of the smallest lumen area. The system is not able to analyze an irregular-shaped lumen area caused by a dissection.
机译:目的:本研究的目的是确定在血管介入后获得的血管内超声图像自动轮廓分析的可行性。研究设计:这是一个描述性研究。方法:分析从球囊血管成形术(n = 10),支架(n = 10)或支架植入物(n = 10)后获得的患者的血管内超声图像。在通过自动和手动系统测量的管腔面积之间进行了比较。将显示来自自动化系统的最小管腔面积的位置与通过视觉估计选择的最小管腔面积进行比较。结果:自动化系统无法分析由于球囊血管成形术而包含解剖的图像。使用具有支架(n = 76)或支架移植物(n = 79)的图像的自动系统和手动跟踪系统获得的管腔面积测量值之间的变异系数分别为2.7%和2.1%。对于包含支架或支架移植物的图像,两个系统之间的相关性都很高(r = 1.00,p <0.01)。用自动分析系统测量的最小管腔面积小于通过视觉估计选择的最小管腔面积(支架的平均差为0.8 mm2(4.9%),而支架移植物的平均差为2.4 mm2(10.9%))。用两种系统确定的最小管腔面积的位置在16例中相同(<1 cm),在其他4例中相差超过1 cm。结论:自动分析系统与使用支架或支架移植物的图像中管腔区域的手动轮廓分析显示出良好的一致性,并且是确定最小管腔区域的可靠工具。该系统无法分析由解剖引起的不规则形状的管腔区域。

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