Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Division of Urology and Kidney Transplantation, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Int Urol Nephrol. 2020 Jan;52(1):35-40. doi: 10.1007/s11255-019-02293-0. Epub 2019 Sep 24.
Laparoscopic partial nephrectomy (LPN) with segmental renal artery clamping has become an important method to minimize the warm ischemia of the kidney during the surgery. In the present study, we adopted a new model of calculating surgery-related kidney volume loss (SKVL), which was derived from the imaging technology to predict the outcomes of LPN with segmental renal artery clamping.
A total of 111 consecutive patients underwent LPN with available pre- and post-operation computed tomography (CT) scanning data were retrospectively analyzed. The SKVL was calculated using the parameter derived from the CT scan. The correlation between the SKVL and the perioperative outcomes as well as the renal function loss was estimated by the logistic regression analyses.
The mean SKVL was 8.99 cm; kidney volume and tumor volume was 147.48 cm and 25.87 cm, respectively. The SKVL was associated with maximum diameter of tumor (P = 0.001), tumor volume (P < 0.001), intraoperative blood loss (P < 0.001), and the warm ischemia time (P = 0.004), but not associated with the surgery time (P = 0.322) and complications (P = 0.638). Besides, the SKVL was associated with the renal function loss after LPN (P < 0.001). The multivariable logistic regression showed that SKVL was an independent parameter to predict the renal function loss.
SKVL is a pre-operation parameter derived from the imaging data, which may be used to predict the perioperative outcomes and renal function loss of patients undergoing LPN.
腹腔镜部分肾切除术(LPN)伴节段性肾动脉夹闭已成为减少手术中肾脏热缺血的重要方法。本研究采用了一种新的手术相关肾体积损失(SKVL)计算模型,该模型源自影像学技术,用于预测伴节段性肾动脉夹闭的 LPN 手术结果。
回顾性分析了 111 例连续接受 LPN 治疗且有术前和术后 CT 扫描数据的患者。使用 CT 扫描得出的参数计算 SKVL。通过逻辑回归分析评估 SKVL 与围手术期结果和肾功能损失的相关性。
平均 SKVL 为 8.99cm3;肾脏体积和肿瘤体积分别为 147.48cm3和 25.87cm3。SKVL 与肿瘤最大直径(P=0.001)、肿瘤体积(P<0.001)、术中出血量(P<0.001)和热缺血时间(P=0.004)相关,但与手术时间(P=0.322)和并发症(P=0.638)无关。此外,SKVL 与 LPN 后肾功能损失相关(P<0.001)。多变量逻辑回归显示,SKVL 是预测肾功能损失的独立参数。
SKVL 是一种源自影像学数据的术前参数,可用于预测接受 LPN 治疗的患者的围手术期结果和肾功能损失。