These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
4. Angiomyolipoma with minimal fat: differentiation from papillary renal cell carcinoma by helical CT. Zhang YY; Luo S; Liu Y; Xu RT Clin Radiol; 2013 Apr; 68(4):365-70. PubMed ID: 23321146 [TBL] [Abstract][Full Text] [Related]
5. Renal cell carcinoma containing fat mimicking angiomyolipoma: demonstration with CT scan and histopathology. Hammadeh MY; Thomas K; Philp T; Singh M Eur Radiol; 1998; 8(2):228-9. PubMed ID: 9477270 [TBL] [Abstract][Full Text] [Related]
6. 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. PubMed ID: 24147472 [TBL] [Abstract][Full Text] [Related]
7. Is higher contrast-enhancement on post-contrast CT image enough to make the differential diagnosis between AML and RCC? Hung SW; Kinouchi T Int J Clin Oncol; 2004 Apr; 9(2):139-41; author reply 141. PubMed ID: 15108048 [No Abstract] [Full Text] [Related]
8. 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. PubMed ID: 22268181 [TBL] [Abstract][Full Text] [Related]
9. 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. PubMed ID: 24259298 [TBL] [Abstract][Full Text] [Related]
10. 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. PubMed ID: 19155407 [TBL] [Abstract][Full Text] [Related]
11. 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. PubMed ID: 25415700 [TBL] [Abstract][Full Text] [Related]
12. 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. PubMed ID: 26295666 [TBL] [Abstract][Full Text] [Related]
13. Differentiation of Clear Cell Renal Cell Carcinoma From Other Subtypes and Fat-Poor Angiomyolipoma by Use of Quantitative Enhancement Measurement During Three-Phase MDCT. Kim SH; Kim CS; Kim MJ; Cho JY; Cho SH AJR Am J Roentgenol; 2016 Jan; 206(1):W21-8. PubMed ID: 26700359 [TBL] [Abstract][Full Text] [Related]
14. Renal cell carcinoma with a fatty component mimicking angiomyolipoma on CT. Roy C; Tuchmann C; Lindner V; Guth S; Vasilescu C; Saussine C; Jacqmin D Br J Radiol; 1998 Sep; 71(849):977-9. PubMed ID: 10195016 [TBL] [Abstract][Full Text] [Related]
15. Morphologic analysis with computed tomography may help differentiate fat-poor angiomyolipoma from renal cell carcinoma: a retrospective study with 602 patients. Kim YH; Han K; Oh YT; Jung DC; Cho NH; Park SY Abdom Radiol (NY); 2018 Mar; 43(3):647-654. PubMed ID: 28677004 [TBL] [Abstract][Full Text] [Related]
16. Use of Iodine Concentration in the Lipid-Poor Portion of the Renal Mass for Differentiation of Angiomyolipoma from Renal Cell Carcinoma. Sun J; Zhang XY; Li XT; Li YL; Wang ZL Cancer Biother Radiopharm; 2019 May; 34(4):224-230. PubMed ID: 31070481 [No Abstract] [Full Text] [Related]
17. Tuberose sclerosis complex: analysis of growth rates aids differentiation of renal cell carcinoma from atypical or minimal-fat-containing angiomyolipoma. Patel U; Simpson E; Kingswood JC; Saggar-Malik AK Clin Radiol; 2005 Jun; 60(6):665-73; discussion 663-4. PubMed ID: 16038693 [TBL] [Abstract][Full Text] [Related]
19. 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. PubMed ID: 18413886 [TBL] [Abstract][Full Text] [Related]