Lee Chan Ho, Ku Ja Yoon, Park Young Joo, Seo Won Ik, Ha Hong Koo
a Department of Urology , Inje University Busan Paik Hospital, Inje University College of Medicine , Busan , Republic of Korea.
b Department of Urology , Pusan National University Hospital, Pusan National University School of Medicine , Busan , Republic of Korea.
Scand J Urol. 2019 Apr-Jun;53(2-3):129-133. doi: 10.1080/21681805.2019.1614663. Epub 2019 May 24.
To evaluate the renal cortical volume (RCV) change after nephron sparing surgery and the predictive value of the nephrometry score in RCV preservation after partial nephrectomy. Overall, 162 patients with renal tumors that were treated with open partial nephrectomy were retrospectively analyzed. The contact surface area (CSA), RENAL, PADUA and C-index scores were obtained from a preoperative CT scan. The RCV of the tumor-bearing kidney was measured preoperatively and postoperatively using dedicated software. The correlation between the four nephrometry scores and perioperative parameters were evaluated and the scores were compared in terms of their ability to predict a reduction in the RCV. All scores showed a significant association with reduction in RCV (all < 0.001), percent reduction in RCV (all < 0.001) and estimated blood loss (all < 0.05). Only the CSA and PADUA scores showed a significant association with percent reduction in eGFR ( = 0.038 and = 0.026, respectively). On multivariate analysis, the CSA, PADUA and C-index scores independently affected the percent reduction in RCV ( = 0.003, = 0.025 and = 0.013, respectively). On ROC curve analysis, CSA was a better independent predictor of a greater than 10% and 20% reduction in the RCV (AUC 0.87 and 0.72, respectively). CT-based RCV measurement successfully differentiated the RCV change after partial nephrectomy. Compared to the other three nephrometry scores, CSA was a superior predictor of RCV change in the operated kidney.
评估保留肾单位手术后肾皮质体积(RCV)的变化以及肾计量评分对部分肾切除术后RCV保留的预测价值。总体而言,对162例行开放性部分肾切除术治疗的肾肿瘤患者进行回顾性分析。术前CT扫描获取接触表面积(CSA)、RENAL、PADUA和C指数评分。使用专用软件术前和术后测量患肾的RCV。评估四个肾计量评分与围手术期参数之间的相关性,并比较各评分预测RCV降低的能力。所有评分均与RCV降低(均<0.001)、RCV降低百分比(均<0.001)和估计失血量(均<0.05)显著相关。只有CSA和PADUA评分与eGFR降低百分比显著相关(分别为=0.038和=0.026)。多因素分析显示,CSA、PADUA和C指数评分独立影响RCV降低百分比(分别为=0.003、=0.025和=0.013)。ROC曲线分析显示,CSA是RCV降低大于10%和20%的更好独立预测指标(AUC分别为0.87和0.72)。基于CT测量的RCV成功区分了部分肾切除术后的RCV变化。与其他三个肾计量评分相比,CSA是患肾RCV变化的更好预测指标。