317 related articles for article (PubMed ID: 33660463)
1. Circularity Index on Contrast-Enhanced Computed Tomography Helps Distinguish Fat-Poor Angiomyolipoma from Renal Cell Carcinoma: Retrospective Analyses of Histologically Proven 257 Small Renal Tumors Less Than 4 cm.
Kang HS; Park JJ
Korean J Radiol; 2021 May; 22(5):735-741. PubMed ID: 33660463
[TBL] [Abstract][Full Text] [Related]
2. Unenhanced CT and MRI Parameters That Can Be Used to Reliably Predict Fat-Invisible Angiomyolipoma.
Jeong CJ; Park BK; Park JJ; Kim CK
AJR Am J Roentgenol; 2016 Feb; 206(2):340-7. PubMed ID: 26797361
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. MDCT-based scoring system for differentiating angiomyolipoma with minimal fat from renal cell carcinoma.
Kim MH; Lee J; Cho G; Cho KS; Kim J; Kim JK
Acta Radiol; 2013 Dec; 54(10):1201-9. PubMed ID: 23864062
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Comparison of Biexponential and Monoexponential Model of Diffusion-Weighted Imaging for Distinguishing between Common Renal Cell Carcinoma and Fat Poor Angiomyolipoma.
Ding Y; Zeng M; Rao S; Chen C; Fu C; Zhou J
Korean J Radiol; 2016; 17(6):853-863. PubMed ID: 27833401
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Evaluation of T1-Weighted MRI to Detect Intratumoral Hemorrhage Within Papillary Renal Cell Carcinoma as a Feature Differentiating From Angiomyolipoma Without Visible Fat.
Murray CA; Quon M; McInnes MD; van der Pol CB; Hakim SW; Flood TA; Schieda N
AJR Am J Roentgenol; 2016 Sep; 207(3):585-91. PubMed ID: 27275530
[TBL] [Abstract][Full Text] [Related]
10. Small (<4 cm) renal mass: differentiation of angiomyolipoma without visible fat from renal cell carcinoma utilizing MR imaging.
Sasiwimonphan K; Takahashi N; Leibovich BC; Carter RE; Atwell TD; Kawashima A
Radiology; 2012 Apr; 263(1):160-8. PubMed ID: 22344404
[TBL] [Abstract][Full Text] [Related]
11. Predictive Value of Chemical-Shift MRI in Distinguishing Clear Cell Renal Cell Carcinoma From Non-Clear Cell Renal Cell Carcinoma and Minimal-Fat Angiomyolipoma.
Jhaveri KS; Elmi A; Hosseini-Nik H; Hedgire S; Evans A; Jewett M; Harisinghani M
AJR Am J Roentgenol; 2015 Jul; 205(1):W79-86. PubMed ID: 26102422
[TBL] [Abstract][Full Text] [Related]
12. 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; 52(3):349-53. PubMed ID: 21498374
[TBL] [Abstract][Full Text] [Related]
13. Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?
Hodgdon T; McInnes MD; Schieda N; Flood TA; Lamb L; Thornhill RE
Radiology; 2015 Sep; 276(3):787-96. PubMed ID: 25906183
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Subjective and objective heterogeneity scores for differentiating small renal masses using contrast-enhanced CT.
Leng S; Takahashi N; Gomez Cardona D; Kitajima K; McCollough B; Li Z; Kawashima A; Leibovich BC; McCollough CH
Abdom Radiol (NY); 2017 May; 42(5):1485-1492. PubMed ID: 28025654
[TBL] [Abstract][Full Text] [Related]
16. Early dark cortical band sign on CT for differentiating clear cell renal cell carcinoma from fat poor angiomyolipoma and detecting peritumoral pseudocapsule.
Ogawa Y; Morita S; Takagi T; Yoshida K; Tanabe K; Nagashima Y; Nishina Y; Sakai S
Eur Radiol; 2021 Aug; 31(8):5990-5997. PubMed ID: 33559699
[TBL] [Abstract][Full Text] [Related]
17. Small (< 4 cm) Renal Tumors With Predominantly Low Signal Intensity on T2-Weighted Images: Differentiation of Minimal-Fat Angiomyolipoma From Renal Cell Carcinoma.
Park JJ; Kim CK
AJR Am J Roentgenol; 2017 Jan; 208(1):124-130. PubMed ID: 27824487
[TBL] [Abstract][Full Text] [Related]
18. Angiomyolipoma with minimal fat: can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques?
Hindman N; Ngo L; Genega EM; Melamed J; Wei J; Braza JM; Rofsky NM; Pedrosa I
Radiology; 2012 Nov; 265(2):468-77. PubMed ID: 23012463
[TBL] [Abstract][Full Text] [Related]
19. Characterization of renal cell carcinoma, oncocytoma, and lipid-poor angiomyolipoma by unenhanced, nephrographic, and delayed phase contrast-enhanced computed tomography.
Ishigami K; Pakalniskis MG; Leite LV; Lee DK; Holanda DG; Rajput M
Clin Imaging; 2015; 39(1):76-84. PubMed ID: 25457535
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
