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基于 CT 特征的肾嗜酸细胞瘤和嫌色细胞癌的鉴别诊断:一项中心性瘢痕匹配的回顾性研究。

Differential diagnosis of renal oncocytoma and chromophobe renal cell carcinoma using CT features: a central scar-matched retrospective study.

机构信息

Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China.

Department of Pathology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China.

出版信息

Acta Radiol. 2022 Feb;63(2):253-260. doi: 10.1177/0284185120988109. Epub 2021 Jan 26.

Abstract

BACKGROUND

Renal oncocytoma (RO) and chromophobe renal cell carcinoma (chRCC) have a common cellular origin and different clinical management and prognosis.

PURPOSE

To explore the utility of computed tomography (CT) in the differentiation of RO and chRCC.

MATERIAL AND METHODS

Twenty-five patients with RO and 73 patients with chRCC presenting with the central scar were included retrospectively. Two experienced radiologists independently reviewed the CT imaging features, including location, tumor size, relative density ratio, segmental enhancement inversion (SEI), necrosis, and perirenal fascia thickening, among others. Interclass correlation coefficient (ICC, for continuous variables) or Kappa coefficient test (for categorical variables) was used to determine intra-observer and inter-observer bias between the two radiologists.

RESULTS

The inter- and intra-reader reproducibility of the other CT imaging parameters were nearly perfect (>0.81) except for the measurements of fat (0.662). RO differed from chRCC in the cortical or medullary side ( = 0.005), relative density ratio ( = 0.020), SEI ( < 0.001), and necrosis ( = 0.045). The logistic regression model showed that location (right kidney), hypo-density on non-enhanced CT, SEI, and perirenal fascia thickening were highly predictive of RO. The combined indicators from logistic regression model were used for ROC analysis. The area under the ROC curve was 0.923 ( < 0.001). The sensitivity and specificity of the four factors combined for diagnosing RO were 88% and 86.3%, respectively. The correlation coefficient between necrosis and tumor size in all tumors including both of RO and chRCC was 0.584, indicating a positive correlation ( < 0.001).

CONCLUSION

The CT imaging features of location (right kidney), hypo-density on non-enhanced CT, SEI, and perirenal fascia thickening were valuable indicators in distinguishing RO from chRCC.

摘要

背景

肾嗜酸细胞瘤(RO)和嫌色细胞肾细胞癌(chRCC)具有共同的细胞起源,临床管理和预后不同。

目的

探讨 CT 在 RO 和 chRCC 鉴别诊断中的应用价值。

材料与方法

回顾性分析 25 例 RO 和 73 例中央瘢痕的 chRCC 患者。两名经验丰富的放射科医生分别独立分析 CT 成像特征,包括位置、肿瘤大小、相对密度比、节段增强反转(SEI)、坏死和肾周筋膜增厚等。采用组内相关系数(ICC,用于连续变量)或 Kappa 系数检验(用于分类变量)来确定两位放射科医生之间的观察者内和观察者间偏倚。

结果

除脂肪测量值(0.662)外,其他 CT 成像参数的观察者内和观察者间可重复性几乎为极好(>0.81)。RO 与 chRCC 在皮质或髓质侧(=0.005)、相对密度比(=0.020)、SEI(<0.001)和坏死(=0.045)方面存在差异。logistic 回归模型显示,位置(右肾)、平扫 CT 低密度、SEI 和肾周筋膜增厚是 RO 的高度预测指标。logistic 回归模型的组合指标用于 ROC 分析。ROC 曲线下面积为 0.923(<0.001)。四项联合指标诊断 RO 的敏感性和特异性分别为 88%和 86.3%。所有肿瘤(包括 RO 和 chRCC)中坏死与肿瘤大小的相关系数为 0.584,呈正相关(<0.001)。

结论

位置(右肾)、平扫 CT 低密度、SEI 和肾周筋膜增厚等 CT 成像特征是鉴别 RO 和 chRCC 的有价值指标。

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