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Items: 1 to 20 of 115

1.

Real-time elastography for distinguishing angiomyolipoma from renal cell carcinoma: preliminary observations.

Tan S, Özcan MF, Tezcan F, Balci S, Karaoğlanoğlu M, Huddam B, Arslan H.

AJR Am J Roentgenol. 2013 Apr;200(4):W369-75. doi: 10.2214/AJR.12.9139. Erratum in: AJR Am J Roentgenol. 2013 Sep;201(3):698.

PMID:
23521480
2.

Does Computer-Aided Diagnosis Permit Differentiation of Angiomyolipoma Without Visible Fat From Renal Cell Carcinoma on MDCT?

Lee Y, Kim JK, Shim W, Sung YS, Cho KS, Shin JH, Kim MH.

AJR Am J Roentgenol. 2015 Sep;205(3):W305-12. doi: 10.2214/AJR.14.13641.

PMID:
26295666
3.

Histogram analysis of small solid renal masses: differentiating minimal fat angiomyolipoma from renal cell carcinoma.

Chaudhry HS, Davenport MS, Nieman CM, Ho LM, Neville AM.

AJR Am J Roentgenol. 2012 Feb;198(2):377-83. doi: 10.2214/AJR.11.6887.

PMID:
22268181
4.

Angiomyolipoma with minimal fat on MDCT: can counts of negative-attenuation pixels aid diagnosis?

Simpfendorfer C, Herts BR, Motta-Ramirez GA, Lockwood DS, Zhou M, Leiber M, Remer EM.

AJR Am J Roentgenol. 2009 Feb;192(2):438-43. doi: 10.2214/AJR.08.1180.

PMID:
19155407
5.

Can ultrasound elastography be used as a new technique in the differentiation of undescended testes and reactive lymph nodes in children?

Agladioglu K, Herek D, Herek O, Agladioglu SY, Cördük N, Ozhan B.

Clin Radiol. 2015 Nov;70(11):1269-75. doi: 10.1016/j.crad.2015.06.099. Epub 2015 Jul 31.

PMID:
26235657
6.

Differentiation of renal cell carcinomas from angiomyolipomas by ultrasonic frequency dependent attenuation.

Taniguchi N, Itoh K, Nakamura S, Obayashi T, Kawai F, Nakamura M.

J Urol. 1997 Apr;157(4):1242-5.

PMID:
9120911
7.

Differentiation of Renal Tumor Histotypes: Usefulness of Quantitative Analysis of Contrast-Enhanced Ultrasound.

Lu Q, Huang BJ, Xue LY, Fan PL, Wang WP.

AJR Am J Roentgenol. 2015 Sep;205(3):W335-42. doi: 10.2214/AJR.14.14204.

PMID:
26295670
8.

Unenhanced CT for the diagnosis of minimal-fat renal angiomyolipoma.

Schieda N, Hodgdon T, El-Khodary M, Flood TA, McInnes MD.

AJR Am J Roentgenol. 2014 Dec;203(6):1236-41. doi: 10.2214/AJR.14.12630.

PMID:
25415700
9.

Interobserver variability of ultrasound elastography: how it affects the diagnosis of breast lesions.

Yoon JH, Kim MH, Kim EK, Moon HJ, Kwak JY, Kim MJ.

AJR Am J Roentgenol. 2011 Mar;196(3):730-6. doi: 10.2214/AJR.10.4654.

PMID:
21343520
10.

Pixel distribution analysis: can it be used to distinguish clear cell carcinomas from angiomyolipomas with minimal fat?

Catalano OA, Samir AE, Sahani DV, Hahn PF.

Radiology. 2008 Jun;247(3):738-46. doi: 10.1148/radiol.2473070785. Epub 2008 Apr 15.

PMID:
18413886
11.

Value of T2-weighted MR imaging in differentiating low-fat renal angiomyolipomas from other renal tumors.

Choi HJ, Kim JK, Ahn H, Kim CS, Kim MH, Cho KS.

Acta Radiol. 2011 Apr 1;52(3):349-53. doi: 10.1258/ar.2010.090491. Epub 2011 Mar 3.

PMID:
21498374
12.

Utility of semiquantitative strain elastography for differentiation between benign and malignant solid renal masses.

Onur MR, Poyraz AK, Bozgeyik Z, Onur AR, Orhan I.

J Ultrasound Med. 2015 Apr;34(4):639-47. doi: 10.7863/ultra.34.4.639.

PMID:
25792579
13.

[Image analysis in the differential diagnosis of renal parenchyma lesions].

Tuma J, Novakova B, Schwarzenbach HR, Jungius KP, Hollerweger A, Zatura F, Kuchta M, Dietrich CF.

Ultraschall Med. 2011 Jun;32(3):286-92. doi: 10.1055/s-0029-1245992. Epub 2011 Jun 10. German.

PMID:
21667407
14.

[Criteria for ultrasound differentiation of small angiomyolipomas (< or = 3 cm) and renal cell carcinomas].

Zebedin D, Kammerhuber F, Uggowitzer MM, Szolar DH.

Rofo. 1998 Dec;169(6):627-32. German.

PMID:
9930217
15.

CT of papillary renal cell carcinomas with cholesterol necrosis mimicking angiomyolipomas.

Lesavre A, Correas JM, Merran S, Grenier N, Vieillefond A, Hélénon O.

AJR Am J Roentgenol. 2003 Jul;181(1):143-5. No abstract available.

PMID:
12818846
16.

Differential diagnosis of renal lesions with US-angiography using intra-arterial CO2 microbubbles.

Horikoshi H, Ishizaka H, Moteki T, Matsumoto M.

Radiat Med. 1995 Sep-Oct;13(5):217-25.

PMID:
8848556
17.

The diagnostic value of contrast-enhanced ultrasound in differentiating small renal carcinoma and angiomyolipoma.

Chen L, Wang L, Diao X, Qian W, Fang L, Pang Y, Zhan J, Chen Y.

Biosci Trends. 2015 Aug;9(4):252-8. doi: 10.5582/bst.2015.01080. Epub 2015 Aug 11.

18.

Are there useful CT features to differentiate renal cell carcinoma from lipid-poor renal angiomyolipoma?

Yang CW, Shen SH, Chang YH, Chung HJ, Wang JH, Lin AT, Chen KK.

AJR Am J Roentgenol. 2013 Nov;201(5):1017-28. doi: 10.2214/AJR.12.10204.

PMID:
24147472
19.

Angiomyolipoma with minimal fat and non-clear cell renal cell carcinoma: differentiation on MDCT using classification and regression tree analysis-based algorithm.

Woo S, Cho JY, Kim SH, Kim SY.

Acta Radiol. 2014 Dec;55(10):1258-69. doi: 10.1177/0284185113513887. Epub 2013 Nov 20.

PMID:
24259298
20.

Qualitative and quantitative analysis with contrast-enhanced ultrasonography: diagnosis value in hypoechoic renal angiomyolipoma.

Lu Q, Huang BJ, Wang WP, Li CX, Xue LY.

Korean J Radiol. 2015 Mar-Apr;16(2):334-41. doi: 10.3348/kjr.2015.16.2.334. Epub 2015 Feb 27.

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