Hermiller J B, Cusma J T, Spero L A, Fortin D F, Harding M B, Bashore T M
Duke University Medical Center, Durham, North Carolina 27710.
Cathet Cardiovasc Diagn. 1992 Feb;25(2):110-31. doi: 10.1002/ccd.1810250207.
Coronary angiography continues to be the pivotal study in the diagnosis and treatment of ischemic cardiac disease. Although angiographic equipment and imaging techniques have advanced over the past three decades, the analysis of coronary angiograms, by visual estimated percent diameter stenosis, has remained unchanged in most clinical catheterization laboratories. Rapid, computerized angiographic analysis systems are now available that remedy the inherent imprecision and inaccuracies plaguing visual coronary analysis. Despite its advantages, successful QCA is quite dependent on meticulous attention to radiographic and angiographic technique, even more so than with visual analysis. Although the available QCA systems can reproducibly and accurately define the site and degree of coronary stenosis, they cannot routinely determine whether an obstruction is flow limiting. Several methods, some based on extrapolations of quantitative measures alone, and others based on digital subtraction angiography, have been developed to determine the physiologic impact of a given coronary lesion. Recent observations have demonstrated, however, that even if the physiologic consequences of an obstruction are known, the prognosis of the lesion over time cannot be predicted. The qualitative, morphologic characteristics of a lesion are as, or more, important than the quantitative lesion attributes in determining an atheroma's behavior and stability, and hence, qualitative descriptors should be incorporated into QCA analyses. Although not currently available, future QCA systems will provide, by automated analysis, reproducible and accurate measures of absolute obstruction, physiologic data describing the flow limiting characteristics of a lesion, and qualitative, morphologic lesion descriptors. Implementation of these systems should provide more consistent and accurate prognostic and pathophysiologic information, thereby helping to refine and more effectively direct therapeutic interventions in coronary artery disease.
冠状动脉造影仍然是缺血性心脏病诊断和治疗的关键检查。尽管在过去三十年中血管造影设备和成像技术有了进步,但在大多数临床导管实验室中,通过视觉估计直径狭窄百分比来分析冠状动脉造影的方法仍未改变。现在有快速的计算机化血管造影分析系统,可弥补困扰视觉冠状动脉分析的固有不精确性和不准确之处。尽管其具有优势,但成功的定量冠状动脉造影(QCA)相当依赖于对放射学和血管造影技术的细致关注,甚至比视觉分析更依赖。虽然现有的QCA系统可以可重复且准确地确定冠状动脉狭窄的部位和程度,但它们不能常规确定阻塞是否限制血流。已经开发了几种方法,一些仅基于定量测量的外推,另一些基于数字减影血管造影,以确定给定冠状动脉病变的生理影响。然而,最近的观察表明,即使知道阻塞的生理后果,也无法预测病变随时间的预后。在确定动脉粥样硬化的行为和稳定性方面,病变的定性、形态学特征与病变的定量属性同样重要,甚至更重要,因此,定性描述符应纳入QCA分析。虽然目前尚无,但未来的QCA系统将通过自动分析提供绝对阻塞的可重复且准确的测量、描述病变血流限制特征的生理数据以及定性的形态学病变描述符。这些系统的实施应提供更一致和准确的预后及病理生理信息,从而有助于完善并更有效地指导冠状动脉疾病的治疗干预。