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首页> 外文期刊>Clinical and experimental nephrology >Automated renal cortical volume measurement for assessment of renal function in patients undergoing radical nephrectomy
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Automated renal cortical volume measurement for assessment of renal function in patients undergoing radical nephrectomy

机译：自动肾皮质体积测量，用于评估肾功能术后肾功能的肾功能

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Abstract Background Renal volume change greatly affects renal function after nephrectomy. Although various measuring techniques were reported, no standard measuring method is available. In this study, we examined the computational automated volumetric method, and evaluated the volumetric change to assess the functional outcome in patients undergoing radical nephrectomy. We developed the predictive equation for postoperative renal function from volume alternation and validated the performance. Methods Thirty-two patients undergoing radical nephrectomy participated in this study. Renal volume was calculated using three different methods [ellipsoid method, conventional manual voxel count method for renal parenchyma (manual RPV), and automated voxel count method for renal cortex (automated RCV)] through newly developed imaging software. Statistical analysis was performed to evaluate the correlation between renal functional alternation 7?days after the nephrectomy and renal volumetric change. A simple predictive equation for the postoperative renal function by renal volume loss was developed and externally validated through another 12 cases. Results The automated RCV method had the strongest correlation between renal function alternation and RCV change ( R ?=?0.82), than manual RPV ( R ?=?0.69) and ellipsoid method ( R ?=?0.50). Subsequently, a simple equation for postoperative renal function by renal volume alternation was developed: predicted postoperative estimated glomerular filtration rate (eGFR) from renal volume change?=?preoperative eGFR?×?(postoperative renal volume / preoperative renal volume). In the external validation cohort, automated RCV demonstrated the predictive performance of the constructed equations for renal function ( R ?=?0.77). Conclusions The computational automated RCV measurements is a simple estimation of renal functional outcome for patients undergoing radical nephrectomy.
机译：摘要背景肾脏体积变化极大地影响肾切除后的肾功能。虽然报道了各种测量技术，但没有可用的标准测量方法。在这项研究中，我们检查了计算自动体积的体积方法，并评估了体积变化，以评估经受激进的肾切除术的患者的功能结果。我们开发了从体积交替的术后肾功能的预测方程，并验证了性能。方法采用三十二名患者进行激进的肾切除术参加了这项研究。使用三种不同的方法计算肾体积[椭圆体方法，肾脏实质（手动RPV）的常规手动体素计数方法，以及通过新开发的成像软件进行肾皮层（自动RCV）的自动体素数。进行统计分析以评估肾功能性交替7.肾切除术和肾体积变化后的肾功能交替的相关性。通过另外12例开发并在外部验证了肾脏体积损失的简单预测方程。结果自动化RCV方法具有肾功能交替和RCV变化（R？= 0.82）的最强相关性，而不是手动RPV（R？= 0.69）和椭圆体方法（R？= 0.50）。随后，开发了肾脏体积交替的术后肾功能的简单方程：预测术后估计肾小球滤过率（EGFR）来自肾体积变化？=术前EGFR？×（术后肾脏体积/术前肾体积）。在外部验证队列中，自动RCV证明了肾功能构造方程的预测性能（R？= 0.77）。结论计算自动化RCV测量是对受激菌肾切除术的患者的肾功能结果的简单估计。

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