Literature DB >> 8628873

Angiomyolipoma and renal cell carcinoma: US differentiation.

C L Siegel1, W D Middleton, S A Teefey, B L McClennan.   

Abstract

PURPOSE: To analyze whether shadowing and other ultrasound (US) features were helpful for distinguishing angiomyolipoma (AML) from renal cell carcinoma (RCC).
MATERIALS AND METHODS: US images were reviewed of 49 patients with RCC and 35 patients with AML. Each tumor was evaluated for size, location, echogenicity, homogeneity, shadowing, hypoechoic rim, and intratumoral cysts. When available, computed tomographic (CT) scans of AMLs were analyzed for the amount of fat and soft tissue in each lesion.
RESULTS: AMLs tended to be smaller and more frequently echogenic than RCCs, but statistically significant overlap occurred. Shadowing was seen in 12 (33%) AMLs but was not seen in RCCs. Hypoechoic rims and intratumoral cysts were seen only in RCCs (numbers were too small to perform further statistical analysis).
CONCLUSION: In hyperechoic renal masses, the presence of shadowing, a hypoechoic rim, and intratumoral cysts are important findings that may help distinguish AML from RCC.

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Year:  1996        PMID: 8628873     DOI: 10.1148/radiology.198.3.8628873

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  25 in total

1.  Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Authors:  Hersh Sagreiya; Alireza Akhbardeh; Dandan Li; Rosa Sigrist; Benjamin I Chung; Geoffrey A Sonn; Lu Tian; Daniel L Rubin; Jürgen K Willmann
Journal:  Ultrasound Med Biol       Date:  2019-05-25       Impact factor: 2.998

2.  Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation.

Authors:  Shaheed W Hakim; Nicola Schieda; Taryn Hodgdon; Matthew D F McInnes; Marc Dilauro; Trevor A Flood
Journal:  Eur Radiol       Date:  2015-06-03       Impact factor: 5.315

Review 3.  Imaging features of solid renal masses.

Authors:  Massimo Galia; Domenico Albano; Alberto Bruno; Antonino Agrusa; Giorgio Romano; Giuseppe Di Buono; Francesco Agnello; Giuseppe Salvaggio; Ludovico La Grutta; Massimo Midiri; Roberto Lagalla
Journal:  Br J Radiol       Date:  2017-07-13       Impact factor: 3.039

4.  Ultrasound and CT imaging assessment of renal angiomyolipoma.

Authors:  Alexandros Kotis; Filippos Lisgos; Stylianos Karatapanis
Journal:  BMJ Case Rep       Date:  2010-11-29

5.  Characterization of renal cell carcinoma using agent detection imaging: comparison with gray-scale US.

Authors:  Byung Kwan Park; Seung Hyup Kim; Hyuck Jae Choi
Journal:  Korean J Radiol       Date:  2005 Jul-Sep       Impact factor: 3.500

6.  Angiomyolipoma being surgically excised for presumed kidney carcinoma.

Authors:  Weibin Hou; He Xiao; Guanghua Liu; Zhigang Ji
Journal:  Int Urol Nephrol       Date:  2015-05-05       Impact factor: 2.370

7.  Radiologic findings of renal hemangioma: report of three cases.

Authors:  H S Lee; B H Koh; J W Kim; Y S Kim; H C Rhim; O K Cho; C K Hahm; Y N Woo; M H Park
Journal:  Korean J Radiol       Date:  2000 Jan-Mar       Impact factor: 3.500

8.  Sarcoidosis manifesting as a pseudotumorous renal mass.

Authors:  Scott Goldsmith; Matt Harris; Kurt Scherer; Samer Al-Quran; Elizabeth Vorhis
Journal:  J Radiol Case Rep       Date:  2013-05-01

Review 9.  Imaging management of incidentally detected small renal masses.

Authors:  V Anik Sahni; Stuart G Silverman
Journal:  Semin Intervent Radiol       Date:  2014-03       Impact factor: 1.513

10.  The application of ultrasound contrast agents in the characterization of renal tumors.

Authors:  Salvatore Siracusano; Emilio Quaia; Michele Bertolotto; Stefano Ciciliato; Anna Tiberio; Emanuele Belgrano
Journal:  World J Urol       Date:  2004-08-06       Impact factor: 4.226

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