Sonographische Differenzierungskriterien von kleinen Angiomyolipomen (≤ 3 cm) und Nierenzellkarzinomen
| Autor: | Kammerhuber Fh, M. Uggowitzer, D. Zebedin, Dieter H. Szolar |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Pathology
medicine.medical_specialty Kidney Angiomyolipoma business.industry Ultrasound Soft tissue Echogenicity urologic and male genital diseases medicine.disease female genital diseases and pregnancy complications medicine.anatomical_structure Renal cell carcinoma medicine Radiology Nuclear Medicine and imaging Differential diagnosis Renal sinus business Nuclear medicine neoplasms |
| Zdroj: | RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 169:627-632 |
| ISSN: | 1438-9010 1438-9029 |
| DOI: | 10.1055/s-2007-1015353 |
| Popis: | PURPOSE: The purpose of this prospective study was to analyze whether ultrasound (US) features are helpful for the differentiation and characterization of small solid ( -10 HU). The amount of fat and soft tissue of an AML detected on CT was correlated with the presence of shadowing seen on sonography. RESULTS: 10 (29%) of the 35 renal cell carcinomas (RCC) were hyperechoic to renal parenchyma, but no RCC was as echogenic as the renal sinus fat. Acoustic shadowing was only observed in AML. 11 (34%) AML with shadowing tended to have a larger amount of soft tissue. A hypoechoic rim and cystic regions were only found in RCC. 14 of 35 (40%) RCC showed a hypoechoic rim. Cystic regions were found in 12 of the 35 RCC (34%). CONCLUSIONS: Renal cell carcinomas display a broad range of echogenicities indicating that small RCC (< or = 3 cm) and AML are not definitely distinguishable by their type of echogenicity. The presence of shadowing, a hypoechoic rim, and cystic regions enable differentiation of small (< or = 3 cm) AML from RCC with a high specificity. Accordingly, sonography has the potential to characterize small (< or = 3 cm) hyperechoic renal masses, with high specificity. However, the low sensitivity of these US features may require a CT for accurate diagnosis. |
| Databáze: | OpenAIRE |
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