Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio.
Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand.
J Urol. 2024 Jun;211(6):775-783. doi: 10.1097/JU.0000000000003903. Epub 2024 Mar 8.
Accurately predicting new baseline glomerular filtration rate (NBGFR) after radical nephrectomy (RN) can improve counseling about RN vs partial nephrectomy. Split renal function (SRF)-based models are optimal, and differential parenchymal volume analysis (PVA) is more accurate than nuclear renal scans (NRS) for this purpose. However, there are minimal data regarding the limitations of PVA. Our objective was to identify patient-/tumor-related factors associated with PVA inaccuracy.
Five hundred and ninety-eight RN patients (2006-2021) with preoperative CT/MRI were retrospectively analyzed, with 235 also having NRS. Our SRF-based model to predict NBGFR was: 1.25 × (Global × SRF), where GFR indicates glomerular filtration rate, with SRF determined by PVA or NRS, and with 1.25 representing the median renal functional compensation in adults. Accuracy of predicted NBGFR within 15% of observed was evaluated in various patient/tumor cohorts using multivariable logistic regression analysis.
PVA and NRS accuracy were 73%/52% overall, and 71%/52% in patients with both studies (n = 235, < .001), respectively. PVA inaccuracy independently associated with pyelonephritis, hydronephrosis, renal vein thrombosis, and infiltrative features (all < .03). Ipsilateral hydronephrosis and renal vein thrombosis associated with PVA underprediction, while contralateral hydronephrosis and increased age associated with PVA overprediction (all < .01). NRS inaccuracy was more common and did not associate with any of these conditions. Even among cohorts where PVA inaccuracy was observed (22% of our patients), there was no significant difference in the accuracies of NRS- and PVA-based predictions.
PVA was more accurate for predicting NBGFR after RN than NRS. Inaccuracy of PVA correlated with factors that distort the parenchymal volume/function relationship or alter renal functional compensation. NRS inaccuracy was more common and unpredictable, likely reflecting the inherent inaccuracy of NRS. Awareness of cohorts where PVA is less accurate can help guide clinical decision-making.
准确预测根治性肾切除术后(RN)的新基础肾小球滤过率(NBGFR)可以改善 RN 与部分肾切除术的咨询。基于分肾功能(SRF)的模型是最佳的,并且与核肾扫描(NRS)相比,差异实质体积分析(PVA)在这方面更准确。然而,关于 PVA 的局限性的数据很少。我们的目的是确定与 PVA 不准确性相关的患者/肿瘤相关因素。
回顾性分析了 598 例接受术前 CT/MRI 的 RN 患者(2006-2021 年),其中 235 例还接受了 NRS。我们基于 SRF 的预测 NBGFR 模型为:1.25×(全局×SRF),其中 GFR 表示肾小球滤过率,SRF 通过 PVA 或 NRS 确定,1.25 表示成人中肾脏功能的中位数代偿。使用多变量逻辑回归分析在各种患者/肿瘤队列中评估预测的 NBGFR 在观察到的 15%以内的准确性。
PVA 和 NRS 的准确性总体分别为 73%/52%,在接受两项研究的患者中分别为 71%/52%(均<0.001)。PVA 不准确性独立与肾盂肾炎、肾积水、肾静脉血栓形成和浸润性特征相关(均<0.03)。同侧肾积水和肾静脉血栓形成与 PVA 低估相关,而对侧肾积水和年龄增加与 PVA 高估相关(均<0.01)。NRS 不准确性更为常见,与这些情况均无关。即使在观察到 PVA 不准确性的队列中(我们患者的 22%),NRS 和 PVA 预测的准确性也没有显著差异。
与 NRS 相比,PVA 更准确地预测 RN 后 NBGFR。PVA 的不准确性与扭曲实质体积/功能关系或改变肾脏功能代偿的因素相关。NRS 不准确性更为常见且不可预测,可能反映了 NRS 的固有不准确性。了解 PVA 准确性较低的队列可以帮助指导临床决策。