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首页> 外文期刊>Urolithiasis. >Evaluation of stone volume distribution in renal collecting system as a predictor of stone-free rate after percutaneous nephrolithotomy: a retrospective single-center study
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Evaluation of stone volume distribution in renal collecting system as a predictor of stone-free rate after percutaneous nephrolithotomy: a retrospective single-center study

机译:肾脏收集系统中石材量分布的评价为经皮肾外术后石棉速率的预测因子:回顾性单中心研究

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We analyzed our stone-free rates of PNL with regard to stone burden and its ratio to the renal collecting system volume. Data of 164 patients who underwent PNL were analyzed retrospectively. Volume segmentation of renal collecting system and stones were done using 3D segmentation software with the images obtained from CT data. Analyzed stone volume (ASV) and renal collecting system volume (RCSV) were measured and the ASV-to-RCSV ratio was calculated after the creation of a 3D surface volume rendering of renal stones and the collecting system. Univariate and multivariate statistical analyses were performed to determine factors affecting stone-free rates; also we assessed the predictive accuracy of the ASV-to-RCSV ratio using the receiving operating curve (ROC) and AUC. The stone-free rate of PNL monotherapy was 53% (164 procedures).The ASV-to-RCSV ratio and calyx number with stones were the most influential predictors of stone-free status (OR 4.15, 95% CI 2.24-7.24, 0.001, OR 2.62, 95% CI 1.38-4.97, p 0.001, respectively). Other factors associated with the stone-free rate were maximum stone size (p 0.029), stone surface area (p 0.010), and stone burden volume (p 0.001). Predictive accuracy of the ASV-to-RCSV ratio was AUC 0.76. Stone burden volume distribution in the renal collecting system, which is calculated using the 3D volume segmentation method, is a significant determinant of the stone-free rate before PCNL surgery. It could be used as a single guide variable by the clinician before renal stone surgery to predict extra requirements for stone clearance.
机译:我们分析了我们与石头负担的无极化的PNL率及其与肾脏收集系统体积的比率。回顾性地分析了164名接受PNL的患者的数据。使用从CT数据获得的图像使用3D分段软件完成肾脏收集系统和石头的体积分割。测量分析的石卷(ASV)和肾脏收集系统体积(RCSV),并在创建肾脏石头和收集系统的3D表面体积渲染后计算ASV-TO-RCSV比。进行单变量和多变量统计分析以确定影响无石油率的因素;我们还评估了使用接收操作曲线(ROC)和AUC的ASV-To-RCSV比率的预测准确性。 PNL单疗法的无石头速率为53%(164个程序)。具有石头的ASV至RCSV比和Calyx编号是最具影响力的石材状态(或4.15,95%Ci 2.24-7.24,&lt 0.001或2.62,95%CI 1.38-4.97,P <0.001分别)。与石材无石速率相关的其他因素是最大的石材尺寸(P <0.029),石表面积(P <0.010)和石头负荷体积(P <0.001)。 ASC至RCSV比的预测精度为AUC 0.76。使用3D体积分割方法计算的肾脏收集系统中的石头负荷体积分布是PCN1手术前的无石头速率的重要决定因素。它可以用作肾脏手术前的临床医生用作单一导向变量,以预测石块清关的额外要求。

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