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Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US.

机译:冠状动脉CT血管造影术对未钙化的冠状动脉斑块的自动化三维定量:与血管内超声比较。

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摘要

PURPOSE: To determine the accuracy of a previously developed automated algorithm (AUTOPLAQ [APQ]) for rapid volumetric quantification of noncalcified and calcified plaque from coronary computed tomographic (CT) angiography in comparison with intravascular ultrasonography (US). MATERIALS AND METHODS: This study was approved by the institutional review board and was HIPAA compliant; all patients provided written informed consent. APQ combines derived scan-specific attenuation threshold levels for lumen, plaque, and knowledge-based segmentation of coronary arteries for quantification of plaque components. APQ was validated with retrospective analysis of 22 coronary atherosclerotic plaques in 20 patients imaged with coronary CT angiography and intravascular US within 2 days of each other. Coronary CT angiographic data were acquired by using dual-source CT. For each patient, well-defined plaques without calcifications were selected, and plaque volume was measured with APQ and manual tracing at CT and with intravascular US. Measurements were compared with paired t test, correlation, and Bland-Altman analysis. RESULTS: There was excellent correlation between noncalcified plaque volumes quantified with APQ and intravascular US (r = 0.94, P < .001), with no significant differences (P = .08). Mean plaque volume with intravascular US was 105.9 mm(3) +/- 83.5 (standard deviation) and with APQ was 116.6 mm(3) +/- 80.1. Mean plaque volume with manual tracing from CT was 100.8 mm(3) +/- 81.7 and with APQ was 116.6 mm(3) +/- 80.1, with excellent correlation (r = 0.92, P < .001) and no significant differences (P = .23). CONCLUSION: Automated scan-specific threshold level-based quantification of plaque components from coronary CT angiography allows rapid, accurate measurement of noncalcified plaque volumes, compared with intravascular US, and requires a fraction of the time needed for manual analysis.
机译:目的:确定先前开发的自动算法(AUTOPLAQ [APQ])的准确性,与血管内超声(US)相比,该算法可快速定量量化来自冠状动脉计算机断层摄影(CT)血管造影的未钙化和钙化斑块。材料与方法:本研究得到机构审查委员会的批准,符合HIPAA的要求;所有患者均提供了书面知情同意书。 APQ结合了用于管腔,斑块和基于知识的冠状动脉分割的特定扫描衰减阈值水平,以量化斑块成分。通过回顾性分析20例经冠脉CT血管造影和血管内超声成像的20例患者中22例冠状动脉粥样硬化斑块,对APQ进行了验证。冠状动脉CT血管造影数据是通过使用双源CT获得的。对于每位患者,选择没有钙化的定义明确的斑块,并通过APQ和CT上的手动描记以及血管内US测量斑块的体积。将测量值与配对t检验,相关性和Bland-Altman分析进行比较。结果:APQ量化的非钙化斑块体积与血管内超声之间存在极好的相关性(r = 0.94,P <.001),无显着差异(P = .08)。血管内超声的平均斑块体积为105.9 mm(3)+/- 83.5(标准差),而APQ为116.6 mm(3)+/- 80.1。从CT手动跟踪的平均斑块体积为100.8 mm(3)+/- 81.7,而APQ为116.6 mm(3)+/- 80.1,具有良好的相关性(r = 0.92,P <.001),无显着性差异( P = 0.23)。结论:与基于血管内超声的超声相比,基于自动扫描特定阈值水平的冠状动脉CT血管造影对斑块成分的定量分析能够快速,准确地测量未钙化斑块的体积,并且所需时间仅为手动分析的一小部分。

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