超声造影和增强CT在肾癌和肾血管平滑肌脂肪瘤诊断鉴别中的临床价值

发布时间：2018-03-10 14:15

本文选题：超声造影　切入点：增强CT　出处：《中国老年学杂志》2017年12期 　论文类型：期刊论文

【摘要】：目的探究超声造影(CEUS)和增强CT(CECT)在肾癌和肾血管平滑肌脂肪瘤诊断鉴别中的临床应用。方法具有完整影像学资料的肾癌和肾血管平滑肌脂肪瘤患者84例,包括常规超声、CEUS、常规CT和CECT检查,共发现病灶86个,对所有患者每项检查的影像学资料进行分类整理。分析CEUS和CECT检查所呈现出的病灶特征,主要包括增强模式、均匀度、增强程度、假包膜征,CECT中表现出的脂肪密度。根据CEUS和CECT所表现出的病灶特征分析疾病类型,并根据两种检查方式联合应用的效果作受试者工作特征曲线(ROC),分析其诊断的准确度。结果肾癌和肾血管平滑肌脂肪瘤病灶的CEUS声像图特征与CECT声像图特征比较差异无统计学意义(P0.05);CEUS、CECT和两项联合,3种方法做出的ROC曲线下面积(AUC)大于0.8,其中两项联合的AUC值最大,与两者单独检测比较差异有统计学意义(P0.05);CEUS和CECT的AUC比较差异无统计学意义(P0.05)。结论 CEUS和CECT两种影像学图像所表现出的病灶特征侧重不同,两项检测联合运用较单一检测能更准确检测肾肿瘤的扩散程度,增强模式,有效提高肾肿瘤得诊断效能。
[Abstract]:Objective to investigate the clinical application of contrast-enhanced CT scan (CECT) in the diagnosis and differential diagnosis of renal cell carcinoma and renal angiomyolipoma. Methods 84 cases of renal carcinoma and renal angiomyolipoma with complete imaging data were studied. Including conventional ultrasound CEUs, conventional CT and CECT, 86 lesions were found. The imaging data of each examination were classified and sorted. The features of the lesions in CEUS and CECT were analyzed, including enhancement mode and evenness. Enhancement degree, fat density in CECT with pseudocapsule sign. Disease types were analyzed according to the characteristics of lesions in CEUS and CECT. According to the results of two combined examination methods, the operating characteristic curve of the subjects was used to analyze the diagnostic accuracy. Results the CEUS sonographic features of renal carcinoma and renal angiomyolipoma lesions were worse than those of CECT sonographic features. The area under the ROC curve obtained by P0.05 CECT and two combined methods was greater than 0.8, in which the AUC value of two combinations was the largest. There was no significant difference in AUC between P0.05CEUS and CECT. Conclusion the focus features of CEUS and CECT are different. The combination of two tests can detect the diffusion degree of renal tumor more accurately, enhance the model, and effectively improve the diagnostic efficiency of renal tumor.
【作者单位】：苏州大学附属第二医院超声科;
【分类号】：R445.1;R730.44;R737.11

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