Fenster A, Blake C, Gyacskov Igor, Landry A, Spence J D
Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.
Ultrasonics. 2006 Dec 22;44 Suppl 1:e153-7. doi: 10.1016/j.ultras.2006.06.027. Epub 2006 Jun 30.
Morphological characterization of carotid plaques has been used for risk stratification and evaluation of response to therapy, evaluation of new risk factors, genetic research, and for quantifying effects of new anti-atherosclerotic therapies. We developed a 3D US system that allows detailed studies of carotid plaques in 3D. Our software includes 3D reconstruction, viewing, manual and semi-automated segmentation of carotid plaques, and surface morphology analysis to be used for quantitative tracking of plaque changes. We evaluated our plaque quantification software by examining plaque volume measurement accuracy, variability, and plaque surface morphology. We used vascular test phantoms to study segmentation accuracy, and used 48 3D US carotid plaques of patients ranging in size from 13.2 mm(3) to 544.0 mm(3) to study plaque volume measurement variability. We compared results from the semi-automated plaque measurements to the results obtained from manual measurements, which were used as the "gold" standard. We developed a surface plaque morphology quantification technique based on the segmented plaque surface curvature and used it to analyze plaques. Accuracy of plaque volume measurements for the simulated plaques ranged from 4.2% to 1.5% for volumes ranging from 68.5 mm(3) to 286 mm(3). The variability study showed that coefficients of variation in the measurement of plaque volume decreased with increasing plaque size for both inter- (90.8-3.9%) and intra-observer (70.2-3.1%) measurements over the plaque sizes measured. Surface morphology analysis showed that 1 mm ulceration could be quantified and monitored for changes over time. The automated plaque quantification approach showed a little higher intra-observer variability than the manual technique, and its performance was better for segmenting the wall than the lumen. Our results indicate that our approach is sensitive tool and can be used in studies of plaque progression and regression as it relates to atherosclerosis treatment effects and can be used effectively in longitudinal studies for direct measurement carotid plaque volume.
颈动脉斑块的形态学特征已被用于风险分层、治疗反应评估、新风险因素评估、基因研究以及量化新型抗动脉粥样硬化疗法的效果。我们开发了一种三维超声系统,可对颈动脉斑块进行详细的三维研究。我们的软件包括三维重建、观察、颈动脉斑块的手动和半自动分割以及表面形态分析,用于对斑块变化进行定量跟踪。我们通过检查斑块体积测量的准确性、变异性以及斑块表面形态来评估我们的斑块量化软件。我们使用血管测试体模研究分割准确性,并使用48个三维超声检测的患者颈动脉斑块(体积范围为13.2立方毫米至544.0立方毫米)研究斑块体积测量的变异性。我们将半自动斑块测量结果与手动测量结果进行比较,手动测量结果被用作“金”标准。我们基于分割后的斑块表面曲率开发了一种表面斑块形态量化技术,并用于分析斑块。对于体积范围为68.5立方毫米至286立方毫米的模拟斑块,斑块体积测量的准确性在4.2%至1.5%之间。变异性研究表明,在测量的斑块大小范围内,无论是观察者间(90.8%-3.9%)还是观察者内(70.2%-3.1%)测量,斑块体积测量的变异系数都随着斑块大小的增加而降低。表面形态分析表明,1毫米的溃疡可以被量化并监测其随时间的变化。自动斑块量化方法显示观察者内变异性略高于手动技术,并且在分割血管壁方面比分割管腔表现更好。我们的结果表明,我们的方法是一种敏感工具,可用于研究与动脉粥样硬化治疗效果相关的斑块进展和消退,并且可以有效地用于纵向研究中直接测量颈动脉斑块体积。