Suppr超能文献

用计算机断层扫描预测嵌顿性输尿管结石。

Predicting the Impacted Ureteral Stone with Computed Tomography.

机构信息

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY; Division of Urology, Providence VA Medical Center, Providence, RI.

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY.

出版信息

Urology. 2019 Aug;130:43-47. doi: 10.1016/j.urology.2019.04.020. Epub 2019 Apr 25.

Abstract

OBJECTIVE

To evaluate whether preoperative computed tomography (CT) findings could predict the presence of an impacted stone. Preoperative identification of an impacted ureteral stone may influence patient preparation and operative decisions. Factors predicting ureteral stone impaction have not been clearly identified.

METHODS

We identified all patients from June 2014 to July 2016 that underwent ureteroscopic treatment of an impacted ureteral stone. Patients that had ureteral prestenting or previous treatment for their stone were excluded. Noncontrast CT images were reviewed to calculate stone size, stone volume, degree of hydronephrosis (0-3), and Hounsfield units (HU) of the stone as well as the ureter distal and proximal to the stone. These were compared with a control group of patients that had nonimpacted stones.

RESULTS

Patients with impacted stones had a greater stone size, volume, HU of the ureter under the stone, HU under/above ratio, and degree of hydronephrosis on univariate analysis. Multivariate analysis demonstrated that HU under the stone was a significant predictor of ureteral stone impaction (odds ratio 1.17; 95% confidence interval 1.11-1.25). Distal ureteral density above 27 HU demonstrated a sensitivity of 85%, specificity of 85%, positive predictive value of 89%, and negative predictive value of 81% for ureteral stone impaction.

CONCLUSION

Impacted stones are associated with ureteral density cut-off value of 27 HU or greater. Measuring this value on preoperative noncontrast CT may help predict which patients are more likely to have impacted stones.

摘要

目的

评估术前计算机断层扫描(CT)结果是否可预测结石嵌顿的存在。术前识别输尿管嵌顿结石可能会影响患者的准备和手术决策。预测输尿管结石嵌顿的因素尚未明确。

方法

我们从 2014 年 6 月至 2016 年 7 月期间确定了所有接受输尿管镜治疗嵌顿输尿管结石的患者。排除了接受输尿管预置管或之前治疗过结石的患者。回顾非增强 CT 图像以计算结石大小、结石体积、肾积水程度(0-3)、结石以及结石上下段输尿管的 Hounsfield 单位(HU)。将这些与无结石嵌顿的对照组患者进行比较。

结果

在单因素分析中,嵌顿结石患者的结石大小、体积、结石下方输尿管 HU、HU 比值以及肾积水程度均较大。多因素分析表明,结石下方 HU 是输尿管结石嵌顿的显著预测因子(优势比 1.17;95%置信区间 1.11-1.25)。远端输尿管密度高于 27 HU 时,对输尿管结石嵌顿的敏感度为 85%,特异度为 85%,阳性预测值为 89%,阴性预测值为 81%。

结论

嵌顿结石与输尿管密度截断值 27 HU 或更高有关。在术前非增强 CT 上测量此值可能有助于预测哪些患者更可能有嵌顿结石。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验