Yildirim Duzgun, Ozturk Ovunc, Tutar Onur, Nurili Fuad, Bozkurt Halil, Kayadibi Huseyin, Karaarslan Ercan, Bakan Selim
Department of Radiology, Centermed Advanced Imaging Center , Istanbul , Turkey .
Ren Fail. 2014 Sep;36(8):1278-82. doi: 10.3109/0886022X.2014.938577. Epub 2014 Jul 14.
Urinary stones are common and can be diagnosed with computed tomography (CT) easily. In this study, we aimed to specify the opacity characteristics of various types of calcified foci that develop through the urinary system by using an image analysis program. With this method, we try to differentiate the calculi from the non-calculous opacities and also we aimed to present how to identify the characteristic features of renal and ureteral calcules.
We obtained the CT studies of the subjects (n = 48, mean age = 41 years) by using a dual source CT imaging system. We grouped the calculi detected in the dual-energy CT sections as renal (n = 40) or ureteric (n = 45) based on their locations. Other radio-opaque structures that were identified outside but within close proximity of the urinary tract were recorded as calculi "mimickers". We used ImageJ program for morphological analysis. All the acquired data were analyzed statistically.
According to thorough morphological parameters, there were statistically significant differences in the angle and Feret angle values between calculi and mimickers (p < 0.001). Multivariate logistical regression analysis showed that Minor Axis and Feret angle parameters can be used to distinguish between ureteric (p = 0.003) and kidney (p = 0.001) stones.
Computer-based morphologic parameters can be used simply to differentiate between calcular and noncalcular densities on CT and also between renal and ureteric stones.
尿路结石很常见，且可通过计算机断层扫描（CT）轻松诊断。在本研究中，我们旨在使用图像分析程序明确泌尿系统中各种类型钙化灶的密度特征。通过这种方法，我们试图将结石与非结石性密度影区分开来，同时旨在展示如何识别肾和输尿管结石的特征。
我们使用双源CT成像系统获取了受试者（n = 48，平均年龄 = 41岁）的CT检查结果。我们根据结石在双能量CT图像中的位置，将其分为肾部结石（n = 40）或输尿管结石（n = 45）。其他在尿路外但紧邻尿路发现的不透射线结构被记录为结石“模仿物”。我们使用ImageJ程序进行形态学分析。所有获取的数据均进行统计学分析。
根据详尽的形态学参数，结石与模仿物之间的角度和费雷特角值存在统计学显著差异（p < 0.001）。多变量逻辑回归分析表明，短轴和费雷特角参数可用于区分输尿管结石（p = 0.003）和肾结石（p = 0.001）。
基于计算机的形态学参数可简单用于在CT上区分结石性与非结石性密度影，以及区分肾结石和输尿管结石。
