Academic Section of Urology, School of Medicine, Ninewells Hospital, Dundee, UK; Department of Urology, Airedale General Hospital, NHS Trust, UK.
Academic Section of Urology, School of Medicine, Ninewells Hospital, Dundee, UK.
Acad Radiol. 2018 Nov;25(11):1381-1387. doi: 10.1016/j.acra.2018.02.001. Epub 2018 Mar 6.
Prediction of growth, in particular knowing the possibility of aggressive cancer in small renal masses on active surveillance, remains poorly understood. The study was designed to determine whether serial nephrometry score measurements could predict possibility of aggressive malignancy (grade of cancer) in patients with small renal masses opting for active surveillance initially.
One hundred sixteen patients between January 2000 and December 2016 undergoing partial nephrectomy were recruited. Out of these, 97 were analyzed using different nephrometry scoring systems. Measurement of nephrometry scores (Radius of tumors, Exo/Endophytic; Nearness of tumors to the collecting system or sinus; Anterior/posterior; Location in relation to polar lines, Preoperative Aspects and Dimensions Used for Anatomical, Centrality Index) was performed by two researchers. Among the patients opting for partial nephrectomy, 40 were on active surveillance for at least 12 months (mean 32; 12-60 months) before partial nephrectomy. Computed tomography scan images of these patients were retrieved and analyzed including comparison to histopathology.
Nephrometry scores measured on serial computed tomography scan images showed a significant correlation between change in score and grade of cancer on multivariate analysis (P value .001). Addition of multivariate analysis to nomogram based on change in size alone did not improve predictive value of area under the curve significantly.
Change in nephrometry scoring measurements correlates with grade of cancer in small renal masses but falls short of significantly predicting presence of malignancy or grade of cancer on nomogram in patients opting for active surveillance for small renal masses. At present, this approach may be inadequate for decision-making.
预测肿瘤的生长情况,尤其是在主动监测中小肾肿瘤中判断肿瘤是否具有侵袭性,目前仍知之甚少。本研究旨在确定连续肾肿瘤测量评分是否能预测选择主动监测的小肾肿瘤患者肿瘤是否具有侵袭性恶性肿瘤(癌症分级)的可能性。
我们招募了 2000 年 1 月至 2016 年 12 月期间行部分肾切除术的 116 名患者。其中,97 名患者采用不同的肾肿瘤测量评分系统进行分析。两名研究人员对肾肿瘤测量评分(肿瘤半径、外生/内生;肿瘤与集合系统或窦腔的距离;前后;与极线的位置关系;术前方面和用于解剖的尺寸;中央性指数)进行了测量。在选择行部分肾切除术的患者中,有 40 名患者在接受部分肾切除术前至少进行了 12 个月(平均 32 个月;12-60 个月)的主动监测。我们检索并分析了这些患者的 CT 扫描图像,包括与组织病理学比较。
在多变量分析中,连续 CT 扫描图像上测量的肾肿瘤评分显示评分变化与癌症分级之间存在显著相关性(P 值<.001)。多变量分析与单纯基于大小变化的列线图相结合,并未显著提高曲线下面积的预测值。
肾肿瘤评分测量的变化与小肾肿瘤中的癌症分级相关,但在选择主动监测小肾肿瘤的患者中,在列线图上并不能显著预测恶性肿瘤的存在或癌症分级。目前,这种方法可能不足以用于决策。