Wackers F J
Cardiovascular Nuclear Imaging Laboratory, Yale University School of Medicine, New Haven, Conn. 06520-8042, USA.
J Nucl Cardiol. 1994 Sep-Oct;1(5 Pt 2):S109-17. doi: 10.1007/BF03032556.
Although considerable efforts have been directed toward improving imaging agents and imaging equipment, relatively little attention has been given to factors that optimize image interpretation. Stress myocardial perfusion images are often interpreted by visual inspection alone. This may introduce considerable inter- and intraobserver variability. Importantly, clinical usefulness of myocardial perfusion imaging may not be consistently reproduced in many laboratories using visual analysis. Relative myocardial distribution of imaging agents on either planar or single-photon emission computed tomographic images can be readily quantified and compared with normal data files by computer processing. Quantification of myocardial perfusion images provides a reproducible measure of the extent of perfusion abnormalities and defect reversibility. The extent of perfusion abnormalities has been shown to have prognostic significance. Computer quantification of myocardial perfusion images improves not only the overall diagnostic yield but also enhances reliability, accuracy, confidence, and reproducibility of interpretation.
尽管已经在改进成像剂和成像设备方面付出了巨大努力,但对于优化图像解读的因素却相对关注较少。负荷心肌灌注图像通常仅通过视觉检查来解读。这可能会引入相当大的观察者间和观察者内变异性。重要的是,在许多使用视觉分析的实验室中,心肌灌注成像的临床效用可能无法始终如一地再现。通过计算机处理,可以很容易地对平面或单光子发射计算机断层扫描图像上成像剂的相对心肌分布进行量化,并与正常数据文件进行比较。心肌灌注图像的量化提供了灌注异常程度和缺损可逆性的可重复测量。灌注异常的程度已被证明具有预后意义。心肌灌注图像的计算机量化不仅提高了总体诊断率,还增强了解读的可靠性、准确性、可信度和可重复性。