402 related articles for article (PubMed ID: 21555349)
1. Diagnosis of renal angiomyolipoma with hounsfield unit thresholds: effect of size of region of interest and nephrographic phase imaging.
Davenport MS; Neville AM; Ellis JH; Cohan RH; Chaudhry HS; Leder RA
Radiology; 2011 Jul; 260(1):158-65. PubMed ID: 21555349
[TBL] [Abstract][Full Text] [Related]
2. CT histogram analysis: differentiation of angiomyolipoma without visible fat from renal cell carcinoma at CT imaging.
Kim JY; Kim JK; Kim N; Cho KS
Radiology; 2008 Feb; 246(2):472-9. PubMed ID: 18094264
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Diagnosis of angiomyolipoma using computed tomography-region of interest < or =-10 HU or 4 adjacent pixels < or =-10 HU are recommended as the diagnostic thresholds.
Simpson E; Patel U
Clin Radiol; 2006 May; 61(5):410-6. PubMed ID: 16679114
[TBL] [Abstract][Full Text] [Related]
7. Angiomyolipoma with minimal fat: differentiation from renal cell carcinoma at biphasic helical CT.
Kim JK; Park SY; Shon JH; Cho KS
Radiology; 2004 Mar; 230(3):677-84. PubMed ID: 14990834
[TBL] [Abstract][Full Text] [Related]
8. Detection of renal lesion enhancement with dual-energy multidetector CT.
Neville AM; Gupta RT; Miller CM; Merkle EM; Paulson EK; Boll DT
Radiology; 2011 Apr; 259(1):173-83. PubMed ID: 21292866
[TBL] [Abstract][Full Text] [Related]
9. Differentiation of renal angiomyolipoma without visible fat from small clear cell renal cell carcinoma by using specific region of interest on contrast-enhanced CT: a new combination of quantitative tools.
Wang X; Song G; Jiang H
Cancer Imaging; 2021 Jul; 21(1):47. PubMed ID: 34225784
[TBL] [Abstract][Full Text] [Related]
10. Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.
Coy H; Young JR; Douek ML; Brown MS; Sayre J; Raman SS
Abdom Radiol (NY); 2017 Jul; 42(7):1919-1928. PubMed ID: 28280876
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Qualitative and quantitative MDCT features for differentiating clear cell renal cell carcinoma from other solid renal cortical masses.
Lee-Felker SA; Felker ER; Tan N; Margolis DJ; Young JR; Sayre J; Raman SS
AJR Am J Roentgenol; 2014 Nov; 203(5):W516-24. PubMed ID: 25341166
[TBL] [Abstract][Full Text] [Related]
13. CT negative attenuation pixel distribution and texture analysis for detection of fat in small angiomyolipoma on unenhanced CT.
Takahashi N; Takeuchi M; Sasaguri K; Leng S; Froemming A; Kawashima A
Abdom Radiol (NY); 2016 Jun; 41(6):1142-51. PubMed ID: 27015866
[TBL] [Abstract][Full Text] [Related]
14. Utility of material-specific fat images derived from rapid-kVp-switch dual-energy renal mass CT for diagnosis of renal angiomyolipoma.
Walker D; Udare A; Chatelain R; McInnes M; Flood T; Schieda N
Acta Radiol; 2021 Sep; 62(9):1263-1272. PubMed ID: 32957794
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Differentiation of clear from non-clear cell renal cell carcinoma using CT washout formula.
Kopp RP; Aganovic L; Palazzi KL; Cassidy FH; Sakamoto K; Derweesh IH
Can J Urol; 2013 Jun; 20(3):6790-7. PubMed ID: 23783049
[TBL] [Abstract][Full Text] [Related]
17. Enhancement Threshold of Small (< 4 cm) Solid Renal Masses on CT.
Al Harbi F; Tabatabaeefar L; Jewett MA; Finelli A; O'Malley M; Atri M
AJR Am J Roentgenol; 2016 Mar; 206(3):554-8. PubMed ID: 26901011
[TBL] [Abstract][Full Text] [Related]
18. Dual-energy CT in patients suspected of having renal masses: can virtual nonenhanced images replace true nonenhanced images?
Graser A; Johnson TR; Hecht EM; Becker CR; Leidecker C; Staehler M; Stief CG; Hildebrandt H; Godoy MC; Finn ME; Stepansky F; Reiser MF; Macari M
Radiology; 2009 Aug; 252(2):433-40. PubMed ID: 19487466
[TBL] [Abstract][Full Text] [Related]
19. Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion.
Chen C; Kang Q; Xu B; Shi Z; Guo H; Wei Q; Lu Y; Wu X
Abdom Radiol (NY); 2018 May; 43(5):1223-1230. PubMed ID: 28828638
[TBL] [Abstract][Full Text] [Related]
20. Segmental enhancement inversion at biphasic multidetector CT: characteristic finding of small renal oncocytoma.
Kim JI; Cho JY; Moon KC; Lee HJ; Kim SH
Radiology; 2009 Aug; 252(2):441-8. PubMed ID: 19508984
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
