Choi Seung-Kwon, Jeon Seung Hyun, Chang Sung-Goo
Department of Urology, Kyung Hee University School of Medicine, Seoul, Korea.
Korean J Urol. 2012 Mar;53(3):159-64. doi: 10.4111/kju.2012.53.3.159. Epub 2012 Mar 19.
To identify the characteristic quadriphasic (unenhanced, corticomedullary, nephrographic, and excretory phase) helical multidetector computed tomography (MDCT) features of renal masses less than 4 cm to distinguish benign from malignant renal masses.
In total, 84 patients were retrospectively analyzed to determine the characteristic features for the prediction of subtypes of small renal masses. The patients' age, gender, and tumor size and CT features, including the presence of intra-tumor degenerative changes, septation, calcification, and wall irregularity, were evaluated. In addition, the degree and pattern of enhancement obtained during four phases were analyzed. The relationship between the subtype of the small renal masses and the gender, morphological features, and pattern of contrast enhancement on the CT was analyzed by using the chi-square test. Tumor size and degree of contrast enhancement were compared by the Mann-Whitney U test. The predictive value of each of the CT features was determined by multivariate logistic regression analysis.
Of the 84 small renal masses, 17 (20%) were benign and 67 (80%) were malignant. Univariate analysis revealed that renal cell carcinoma lesions showed heterogeneous enhancement (p=0.002) and higher mean attenuation value on the corticomedullary and nephrographic phases (135.1±53.9, p=0.000, and 132.4±43.6, p=0.006). The multivariate analysis with logistic regression model showed that only the mean attenuation value on the corticomedullary phase had a statistically significant correlation (p=0.021).
For the characterization of small renal masses, the degree of enhancement on the corticomedullary phase is a valuable parameter. Furthermore, the heterogeneous enhancement pattern and degree of enhancement on the nephrographic phase can provide information for differentiating small renal masses.
识别直径小于4 cm的肾肿块的特征性四期(平扫、皮质髓质期、肾实质期和排泄期)螺旋多排计算机断层扫描(MDCT)特征,以区分良性和恶性肾肿块。
回顾性分析84例患者,以确定预测小肾肿块亚型的特征。评估患者的年龄、性别、肿瘤大小及CT特征,包括肿瘤内退变改变、分隔、钙化及壁不规则的存在情况。此外,分析四期增强的程度和方式。采用卡方检验分析小肾肿块亚型与性别、形态学特征及CT对比增强方式之间的关系。采用Mann-Whitney U检验比较肿瘤大小和对比增强程度。通过多因素逻辑回归分析确定各CT特征的预测价值。
84个小肾肿块中,17个(20%)为良性,67个(80%)为恶性。单因素分析显示,肾细胞癌病变表现为不均匀强化(p = 0.002),在皮质髓质期和肾实质期的平均衰减值较高(分别为135.1±53.9,p = 0.000;132.4±43.6,p = 0.006)。逻辑回归模型的多因素分析显示,仅皮质髓质期的平均衰减值具有统计学显著相关性(p = 0.021)。
对于小肾肿块的特征描述,皮质髓质期的强化程度是一个有价值的参数。此外,肾实质期的不均匀强化方式和强化程度可为鉴别小肾肿块提供信息。