冠状动脉 CT 血管造影中无钙化和钙化冠状动脉斑块的自动三维定量分析。
Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography.
机构信息
Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Taper Building, A238, Los Angeles, CA 90048, USA.
出版信息
J Cardiovasc Comput Tomogr. 2009 Nov-Dec;3(6):372-82. doi: 10.1016/j.jcct.2009.09.004. Epub 2009 Oct 1.
INTRODUCTION
We aimed to develop an automated algorithm (APQ) for accurate volumetric quantification of non-calcified (NCP) and calcified plaque (CP) from coronary CT angiography (CCTA).
METHODS
APQ determines scan-specific attenuation thresholds for lumen, NCP, CP and epicardial fat, and applies knowledge-based segmentation and modeling of coronary arteries, to define NCP and CP components in 3D. We tested APQ in 29 plaques for 24 consecutive scans, acquired with dual-source CT scanner. APQ results were compared to volumes obtained by manual slice-by-slice NCP/CP definition and by interactive adjustment of plaque thresholds (ITA) by 2 independent experts.
RESULTS
APQ analysis time was <2 sec per lesion. There was strong correlation between the 2 readers for manual quantification (r = 0.99, p < 0.0001 for NCP; r = 0.85, p < 0.0001 for CP). The mean HU determined by APQ was 419 +/- 78 for luminal contrast at mid-lesion, 227 +/- 40 for NCP upper threshold, and 511 +/- 80 for the CP lower threshold. APQ showed a significantly lower absolute difference (26.7 mm(3) vs. 42.1 mm(3), p = 0.01), lower bias than ITA (32.6 mm(3) vs 64.4 mm(3), p = 0.01) for NCP. There was strong correlation between APQ and readers (R = 0.94, p < 0.0001 for NCP volumes; R = 0.88, p < 0.0001, for CP volumes; R = 0.90, p < 0.0001 for NCP and CP composition).
CONCLUSIONS
We developed a fast automated algorithm for quantification of NCP and CP from CCTA, which is in close agreement with expert manual quantification.
简介
本研究旨在开发一种自动算法（APQ），以准确量化冠状动脉 CT 血管造影（CCTA）中的非钙化斑块（NCP）和钙化斑块（CP）。
方法
APQ 确定用于管腔、NCP、CP 和心外膜脂肪的特定扫描衰减阈值，并应用基于知识的冠状动脉分段和建模技术，以在 3D 中定义 NCP 和 CP 成分。我们在 24 例连续双源 CT 扫描中对 29 个斑块进行了 APQ 测试。APQ 结果与手动逐层定义 NCP/CP 获得的体积和由 2 位独立专家交互式调整斑块阈值（ITA）获得的体积进行比较。
结果
APQ 分析时间<2 秒/病变。2 位读者之间手动定量分析具有很强的相关性（NCP 时 r = 0.99，p < 0.0001；CP 时 r = 0.85，p < 0.0001）。APQ 确定的平均 HU 值为中段管腔对比 419 +/- 78，NCP 上阈值 227 +/- 40，CP 下阈值 511 +/- 80。APQ 在 NCP 方面显示出明显较低的绝对值差异（26.7 mm³ vs. 42.1 mm³，p = 0.01）和较低的偏差比 ITA（32.6 mm³ vs 64.4 mm³，p = 0.01）。APQ 与读者之间具有很强的相关性（NCP 时 R = 0.94，p < 0.0001；CP 时 R = 0.88，p < 0.0001；NCP 和 CP 成分时 R = 0.90，p < 0.0001）。
结论
我们开发了一种快速的自动算法，用于从 CCTA 中量化 NCP 和 CP，该算法与专家手动量化非常吻合。
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