Hillman B J, Drach G W, Tracey P, Gaines J A
AJR Am J Roentgenol. 1984 Mar;142(3):549-52. doi: 10.2214/ajr.142.3.549.
An in vitro study sought to determine the feasibility of using computed tomography (CT) to analyze the chemical composition of renal calculi and thus aid in selecting the best treatment method. Sixty-three coded calculi were scanned in a water bath. Region-of-interest measurements provided the mean, standard deviation, and minimum and maximum pixel values for each stone. These parameters were correlated with aspects of the stones' chemical composition. A multivariate analysis showed that the mean and standard deviation of the stones' pixel values were the best CT parameters for differentiating types of renal calculi. By using computerized mapping techniques, uric acid calculi could be perfectly differentiated from struvite and calcium oxalate calculi. The latter two types also were differentiable, but to a lesser extent. CT has a potential role as an adjunct to clinical and laboratory methods for determining the chemical composition of renal calculi in an effort to select optimal treatment.
一项体外研究试图确定使用计算机断层扫描（CT）分析肾结石化学成分并因此辅助选择最佳治疗方法的可行性。63枚编码结石在水浴中进行扫描。感兴趣区域测量提供了每块结石的平均值、标准差以及最小和最大像素值。这些参数与结石化学成分的各个方面相关。多变量分析表明，结石像素值的平均值和标准差是区分肾结石类型的最佳CT参数。通过使用计算机化映射技术，尿酸结石可以与磷酸镁铵结石和草酸钙结石完美区分。后两种类型也可以区分，但程度较小。CT作为临床和实验室方法的辅助手段，在确定肾结石化学成分以选择最佳治疗方面具有潜在作用。
