Jeong Daniel, Raghunand Natarajan, Hernando Diego, Poch Michael, Jeong Katherine, Eck Brendan, Dhillon Jasreman
Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Department of Radiology, University of Wisconsin-Madison. Madison, WI, USA.
Quant Imaging Med Surg. 2018 May;8(4):373-382. doi: 10.21037/qims.2018.04.09.
Sarcomatoid differentiation in renal cell carcinoma (sRCC) is histologically characterized by anaplastic changes of renal cell carcinoma (RCC) subtypes, which has been associated with a poor prognosis. sRCC is managed more aggressively than RCC without sarcomatoid components, so pre-operative detection of sarcomatoid differentiation would significantly affect surgical management. The purpose of this study is to compare the quantification of sarcomatoid features in RCCs on pre-operative magnetic resonance imaging (MRI) to standard histological examination.
Patients who had nephrectomy at our institution between 2000 and 2015 with pathology proven RCC and pre-operative contrast enhanced MRI abdominal scans were retrospectively reviewed. A custom MATLAB routine calculated the portion of each manually segmented whole tumor with MRI signal suggestive of sarcomatoid involvement based on prior research (MRI%SARC). The primary endpoint compared MRI%SARC to percent sarcomatoid involvement estimated by histological examination (HIST%SARC) using Pearson correlation and Bland Altman analysis.
A total of 17 patients with sRCC (10 males, age 60.3±11.1 years) and 17 consecutive control patients with clear cell RCC (ccRCC) without sarcomatoid components (10 males, age 64.5±7.6 years) were evaluated. Pearson correlation analysis revealed a strong association between MRI%SARC and HIST%SARC (r=0.782, P<0.001). Bland-Altman analysis demonstrated proportional bias, with a mean bias of 19.29 [95% confidence interval (CI): 9.79-28.79] and with 95% limits of agreement of -16.93 (95% CI: -33.38 to -0.48) to 55.51 (95% CI: 39.06-71.96), suggesting MRI%SARC underestimated values compared to HIST%SARC by 19%.
Multiparametric pre-operative MRI analysis to quantify sarcomatoid features in RCC correlates with standard histological examination but underestimates percent sarcomatoid involvement.
肾细胞癌中的肉瘤样分化(sRCC)在组织学上的特征是肾细胞癌(RCC)亚型的间变改变,这与预后不良相关。与无肉瘤样成分的RCC相比,sRCC的治疗更为积极,因此术前检测肉瘤样分化会显著影响手术管理。本研究的目的是比较术前磁共振成像(MRI)上RCC中肉瘤样特征的量化与标准组织学检查结果。
回顾性分析2000年至2015年间在本机构接受肾切除术且病理证实为RCC并术前行腹部增强MRI扫描的患者。根据先前的研究,使用自定义的MATLAB程序计算每个手动分割的整个肿瘤中具有提示肉瘤样累及的MRI信号的部分(MRI%SARC)。主要终点是使用Pearson相关性分析和Bland Altman分析,将MRI%SARC与组织学检查估计的肉瘤样累及百分比(HIST%SARC)进行比较。
共评估了17例sRCC患者(10例男性,年龄60.3±11.1岁)和17例连续的无肉瘤样成分的透明细胞肾细胞癌(ccRCC)对照患者(10例男性,年龄64.5±7.6岁)。Pearson相关性分析显示MRI%SARC与HIST%SARC之间存在强相关性(r = 0.782,P < 0.001)。Bland - Altman分析显示存在比例偏差,平均偏差为19.29 [95%置信区间(CI):9.79 - 28.79],95%一致性界限为 - 16.93(95% CI: - 33.38至 - 0.48)至55.51(95% CI:39.06 - 71.96),表明与HIST%SARC相比,MRI%SARC低估了19%的值。
用于量化RCC中肉瘤样特征的多参数术前MRI分析与标准组织学检查相关,但低估了肉瘤样累及百分比。