Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, 720 Rutland Ave, 1042 Ross Bldg, Baltimore, MD 21205, USA.
Radiology. 2010 May;255(2):396-404. doi: 10.1148/radiol.10081121. Epub 2010 Mar 23.
To determine if a multidetector computed tomographic (CT) image acquisition and analysis method can enable accurate measurement of the arterial input function (AIF) during first-pass adenosine stress helical multidetector CT angiography and to test the effect of using this method on the semiquantitative assessment of myocardial perfusion distribution.
The animal care and use committee of Johns Hopkins University approved the use of all procedures. The AIF was reconstructed by using a combination of bolus-tracking and time-registered helical multidetector CT data. After the AIF reconstruction method was validated in healthy animals, coronary stenosis was induced in seven dogs and contrast material-enhanced multidetector CT was performed during adenosine infusion (0.14-0.21 mg per kilogram of body weight per minute). Myocardial attenuation density (AD) parameters normalized to portions of the AIF were compared with microsphere myocardial blood flow (MBF) measurements at linear regression analysis.
There was no significant difference between the area under the curve (AUC) for dynamic multidetector CT-derived AIF (3108 + or - 1250 [standard deviation]) and that for combined bolus-tracking and time-registered multidetector helical CT-derived AIF (3086 + or - 941) (P = .90). When AIF analysis was applied to helical multidetector CT myocardial perfusion measurements, the correlation between MBF and mean myocardial AD normalized to the AUC for the entire AIF was significant (R(2) = 0.82, P <.001). Myocardial AD normalized to the AUC for the AIF measured during helical multidetector CT correlated best with MBF (R(2) = 0.86, P <.001).
The combination of bolus tracking and time-registered helical imaging enables reconstruction of the AIF during multidetector CT perfusion imaging. The helical CT AIF can be used to improve the semiquantitative assessment of myocardial perfusion distribution.
确定多排螺旋 CT 图像采集和分析方法是否能在首次通过腺苷负荷螺旋多排 CT 血管造影时准确测量动脉输入函数（AIF），并检验这种方法对心肌灌注分布半定量评估的影响。
约翰霍普金斯大学动物护理和使用委员会批准了所有程序的使用。AIF 是通过组合使用示踪剂追踪和时间注册的螺旋多排 CT 数据进行重建的。在健康动物中验证了 AIF 重建方法后，在 7 只狗中诱导冠状动脉狭窄，并在腺苷输注（0.14-0.21mg/kg/分钟）期间进行对比剂增强的多排螺旋 CT。线性回归分析比较了用微球法测量的心肌血流（MBF）与心肌衰减密度（AD）参数。
动态多排 CT 衍生的 AIF 的曲线下面积（AUC）（3108 +或-1250[标准差]）与组合示踪剂追踪和时间注册的多排螺旋 CT 衍生的 AIF（3086 +或-941）之间无显著差异（P =.90）。当 AIF 分析应用于螺旋多排 CT 心肌灌注测量时，MBF 与整个 AIF 的 AUC 归一化的平均心肌 AD 之间的相关性是显著的（R（2）= 0.82，P <.001）。与螺旋多排 CT 期间测量的 AUC 归一化的心肌 AD 与 MBF 相关性最佳（R（2）= 0.86，P <.001）。
示踪剂追踪和时间注册的螺旋成像相结合，可在多排 CT 灌注成像时重建 AIF。螺旋 CT AIF 可用于改善心肌灌注分布的半定量评估。
