Department of Urology, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
World J Urol. 2023 Oct;41(10):2723-2734. doi: 10.1007/s00345-023-04543-4. Epub 2023 Aug 2.
To evaluate association between computer tomography (CT)-based features of renal cell carcinoma (RCC) and survival outcomes.
Data of 958 patients with clinical T1b-T2 RCC who underwent partial/radical nephrectomy from June 2003 to March 2022 were retrospectively evaluated. CT images of patients were reviewed by two radiologists for texture analysis of tumor heterogeneity and shape analysis of tumor contour. Patients were divided into three groups according to patterns of CT-based features: (1) favorable feature group (n = 117); (2) intermediate feature group (n = 606); and (3) unfavorable feature group (n = 235). Kaplan-Meier survival analysis and multivariate Cox regression analysis were performed to evaluate overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS).
RCCs with unfavorable CT-based feature showed larger size on CT, higher nuclear grade, higher rate of histologic necrosis, and higher rate of capsular invasion than those in the other two groups (all p < 0.001). Unfavorable feature was associated with poorer OS (p = 0.001), CSS (p < 0.001), and RFS (p < 0.001) on Kaplan-Meier analysis. In multivariate analysis, intermediate and unfavorable features were independent predictors for recurrence (hazard ratio [HR] 2.51, 95% confidence interval [CI] 1.09-5.79, p = 0.031 and HR 3.71, 95% CI 1.58-8.73, p = 0.003, respectively), but not for overall death or RCC-specific death.
A combination of irregular tumor contour feature with heterogeneous tumor texture feature on CT is associated with poor RFS in clinical T1b-T2 RCC preoperatively.
评估基于计算机断层扫描(CT)的肾细胞癌(RCC)特征与生存结果之间的关联。
回顾性分析 2003 年 6 月至 2022 年 3 月期间接受部分/根治性肾切除术的 958 例临床 T1b-T2 RCC 患者的数据。由两名放射科医生对患者的 CT 图像进行复查,以进行肿瘤异质性的纹理分析和肿瘤轮廓的形状分析。根据 CT 特征的模式,将患者分为三组:(1)有利特征组(n=117);(2)中间特征组(n=606);和(3)不利特征组(n=235)。进行 Kaplan-Meier 生存分析和多变量 Cox 回归分析,以评估总生存期(OS)、癌症特异性生存期(CSS)和无复发生存期(RFS)。
与其他两组相比,基于 CT 的不利特征的 RCC 在 CT 上显示出更大的大小、更高的核级、更高的组织学坏死率和更高的包膜侵犯率(均 p<0.001)。基于 Kaplan-Meier 分析,不利特征与较差的 OS(p=0.001)、CSS(p<0.001)和 RFS(p<0.001)相关。在多变量分析中,中间和不利特征是复发的独立预测因素(危险比[HR] 2.51,95%置信区间[CI] 1.09-5.79,p=0.031 和 HR 3.71,95% CI 1.58-8.73,p=0.003),但与总体死亡或 RCC 特异性死亡无关。
CT 上不规则肿瘤轮廓特征与肿瘤异质性纹理特征的结合与临床 T1b-T2 RCC 术前 RFS 较差相关。