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双能计算机断层扫描用于尿酸结石的鉴别:离体性能评估

Dual-energy computed tomography for the differentiation of uric acid stones: ex vivo performance evaluation.

作者信息

Stolzmann Paul, Scheffel Hans, Rentsch Katharina, Schertler Thomas, Frauenfelder Thomas, Leschka Sebastian, Sulser Tullio, Marincek Borut, Alkadhi Hatem

机构信息

Institute of Diagnostic Radiology, University Hospital Zurich, 8091, Zurich, Switzerland.

出版信息

Urol Res. 2008 Aug;36(3-4):133-8. doi: 10.1007/s00240-008-0140-x. Epub 2008 Jun 11.

Abstract

We assessed the potential of dual-energy computed tomography (CT) for the differentiation between uric acid (UA)-containing and non-UA-containing urinary stones. Forty urinary stones of 16 different compositions in two sizes (or=5 mm) were examined in an ex vivo model. Thirty stones consisted of pure calcium oxalate (whewellite or wheddellite), calcium phosphate (apatite, brushite, or vaterite), ammonium magnesium phosphate (struvite), UA, ammonium acid urate, ammonium phosphate, sodium hydrogen urate, or cystine, and ten stones were of mixed composition (UA-sodium hydrogen urate, whewellite-urate, wheddellite-urate, whewellite-brushite, or whewellite-brushite-struvite). Scans were performed using dual-source CT in a dual-energy mode with the tubes simultaneously operating at 80 and 140 kV. Two readers analysed the data with respect to stone attenuation at each energy level. The stones were classified as UA- or non-UA-containing using manual attenuation measurements and software analysis results. Sensitivity, specificity, PPV, and NPV were calculated using crystallographic stone analysis as the gold standard. Twenty-six out of 40 stones (65%) contained no UA; 14 stones (35%) contained UA. When compared with UA-containing stones, the differences in attenuation values at 80 and 140 kV were significantly (P<0.001) higher in stones containing no UA. The software automatically mapped 39/40 stones (98%). Only one (2%) 2 mm UA-stone was missed. The software correctly classified all detected stones as UA- or non-UA-containing. The attenuation values of the missed stone were manually plotted into the analysis sheet which allowed for the correct classification of the stone (containing UA). Therefore, the sensitivity, specificity, PPV, and NPV for the detection of UA-containing stones was 100%. Ex vivo experience indicates that differentiation between UA- and non-UA-containing stones can be accurately performed using dual-source dual-energy CT.

摘要

我们评估了双源计算机断层扫描(CT)在鉴别含尿酸(UA)和不含UA的尿路结石方面的潜力。在体外模型中对40颗两种尺寸(≤5 mm)、16种不同成分的尿路结石进行了检查。30颗结石由纯草酸钙(方解石或水草酸钙)、磷酸钙(磷灰石、透钙磷石或球霰石)、磷酸铵镁(鸟粪石)、UA、尿酸氢铵、磷酸铵、尿酸氢钠或胱氨酸组成,10颗结石为混合成分(UA - 尿酸氢钠、方解石 - 尿酸盐、水草酸钙 - 尿酸盐、方解石 - 透钙磷石或方解石 - 透钙磷石 - 鸟粪石)。使用双源CT以双能量模式进行扫描,管电压分别为80 kV和140 kV。两位阅片者分析了每个能量水平下结石的衰减数据。使用手动衰减测量和软件分析结果将结石分类为含UA或不含UA。以晶体学结石分析作为金标准计算敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。40颗结石中有26颗(65%)不含UA;14颗结石(35%)含UA。与含UA的结石相比,不含UA的结石在80 kV和140 kV时的衰减值差异显著更高(P<0.001)。软件自动标记出40颗结石中的39颗(98%)。仅一颗(2%)2 mm的UA结石被漏检。软件将所有检测到的结石正确分类为含UA或不含UA。将漏检结石的衰减值手动绘制到分析表中,从而实现了对该结石(含UA)的正确分类。因此,检测含UA结石的敏感性、特异性、PPV和NPV均为100%。体外实验经验表明,使用双源双能量CT能够准确鉴别含UA和不含UA的结石。

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