在针对衰减差异进行调整的CT图像上测量冠状动脉钙化。

Measuring coronary calcium on CT images adjusted for attenuation differences.

作者信息

Nelson Jennifer Clark, Kronmal Richard A, Carr J Jeffrey, McNitt-Gray Michael F, Wong Nathan D, Loria Catherine M, Goldin Jonathan G, Williams O Dale, Detrano Robert

机构信息

Center for Health Studies, Group Health Cooperative, Metropolitan Park East, Suite 1600, 1730 Minor Ave, Seattle, WA 98101, USA.

出版信息

Radiology. 2005 May;235(2):403-14. doi: 10.1148/radiol.2352040515.

Abstract

PURPOSE

To quantify scanner and participant variability in attenuation values for computed tomographic (CT) images assessed for coronary calcium and define a method for standardizing attenuation values and calibrating calcium measurements.

MATERIALS AND METHODS

Institutional review board approval and participant informed consent were obtained at all study sites. An image attenuation adjustment method involving the use of available calibration phantom data to define standard attenuation values was developed. The method was applied to images from two population-based multicenter studies: the Coronary Artery Risk Development in Young Adults study (3041 participants) and the Multi-Ethnic Study of Atherosclerosis (6814 participants). To quantify the variability in attenuation, analysis of variance techniques were used to compare the CT numbers of standardized torso phantom regions across study sites, and multivariate linear regression models of participant-specific calibration phantom attenuation values that included participant age, race, sex, body mass index (BMI), smoking status, and site as covariates were developed. To assess the effect of the calibration method on calcium measurements, Pearson correlation coefficients between unadjusted and attenuation-adjusted calcium measurements were computed. Multivariate models were used to examine the effect of sex, race, BMI, smoking status, unadjusted score, and site on Agatston score adjustments.

RESULTS

Mean attenuation values (CT numbers) of a standard calibration phantom scanned beneath participants varied significantly according to scanner and participant BMI (P < .001 for both). Values were lowest for Siemens multi-detector row CT scanners (110.0 HU), followed by GE-Imatron electron-beam (116.0 HU) and GE LightSpeed multi-detector row scanners (121.5 HU). Values were also lower for morbidly obese (BMI, > or =40.0 kg/m(2)) participants (108.9 HU), followed by obese (BMI, 30.0-39.9 kg/m(2)) (114.8 HU), overweight (BMI, 25.0-29.9 kg/m(2)) (118.5 HU), and normal-weight or underweight (BMI, <25.0 kg/m(2)) (120.1 HU) participants. Agatston score calibration adjustments ranged from -650 to 1071 (mean, -8 +/- 50 [standard deviation]) and increased with Agatston score (P < .001). The direction and magnitude of adjustment varied significantly according to scanner and BMI (P < .001 for both) and were consistent with phantom attenuation results in that calibration resulted in score decreases for images with higher phantom attenuation values.

CONCLUSION

Image attenuation values vary by scanner and participant body size, producing calcium score differences that are not due to true calcium burden disparities. Use of calibration phantoms to adjust attenuation values and calibrate calcium measurements in research studies and clinical practice may improve the comparability of such measurements between persons scanned with different scanners and within persons over time.

摘要

目的

量化用于评估冠状动脉钙化的计算机断层扫描(CT)图像中扫描仪和参与者的衰减值变异性,并定义一种标准化衰减值和校准钙测量的方法。

材料与方法

所有研究地点均获得机构审查委员会批准并取得参与者知情同意。开发了一种图像衰减调整方法,该方法利用可用的校准体模数据来定义标准衰减值。该方法应用于两项基于人群的多中心研究的图像:青年成人冠状动脉风险发展研究(3041名参与者)和动脉粥样硬化多族裔研究(6814名参与者)。为了量化衰减的变异性,采用方差分析技术比较各研究地点标准化躯干体模区域的CT值,并建立了参与者特定校准体模衰减值的多元线性回归模型,将参与者年龄、种族、性别、体重指数(BMI)、吸烟状况和研究地点作为协变量。为了评估校准方法对钙测量的影响,计算了未调整和衰减调整后的钙测量值之间的Pearson相关系数。使用多元模型来检验性别、种族、BMI、吸烟状况、未调整分数和研究地点对阿加斯顿分数调整的影响。

结果

参与者下方扫描的标准校准体模的平均衰减值(CT值)因扫描仪和参与者BMI的不同而有显著差异(两者P <.001)。西门子多排探测器CT扫描仪的值最低(110.0 HU),其次是GE-Imatron电子束扫描仪(116.0 HU)和GE LightSpeed多排探测器扫描仪(121.5 HU)。病态肥胖(BMI≥40.0 kg/m²)参与者的值也较低(108.9 HU),其次是肥胖(BMI 30.0 - 39.9 kg/m²)(114.8 HU)、超重(BMI 25.0 - 29.9 kg/m²)(118.5 HU)以及正常体重或体重过轻(BMI <25.0 kg/m²)(120.1 HU)的参与者。阿加斯顿分数校准调整范围为 -650至1071(平均值,-8±50 [标准差]),并随阿加斯顿分数增加(P <.001)。调整的方向和幅度因扫描仪和BMI的不同而有显著差异(两者P <.001),并且与体模衰减结果一致,即校准导致体模衰减值较高的图像分数降低。

结论

图像衰减值因扫描仪和参与者体型而异,导致钙分数差异,而这并非由于真正的钙负荷差异所致。在研究和临床实践中使用校准体模来调整衰减值和校准钙测量,可能会提高不同扫描仪扫描的个体之间以及个体随时间变化的此类测量的可比性。

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