407 related articles for article (PubMed ID: 28828638)
1. 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]
2. Study of 320-slice dynamic volume CT perfusion in different pathologic types of kidney tumor: preliminary results.
Chen C; Liu Q; Hao Q; Xu B; Ma C; Zhang H; Shen Q; Lu J
PLoS One; 2014; 9(1):e85522. PubMed ID: 24465588
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. Angiomyolipoma with minimal fat: differentiation of morphological and enhancement features from renal cell carcinoma at CT imaging.
Sung CK; Kim SH; Woo S; Moon MH; Kim SY; Kim SH; Cho JY
Acta Radiol; 2016 Sep; 57(9):1114-22. PubMed ID: 26663389
[TBL] [Abstract][Full Text] [Related]
7. 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]
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. Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models: Intermodel Agreement and Diagnostic Accuracy of Tumor Classification.
Deniffel D; Boutelier T; Labani A; Ohana M; Pfeiffer D; Roy C
Invest Radiol; 2018 Aug; 53(8):477-485. PubMed ID: 29762256
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Correlation between CT perfusion parameters and Fuhrman grade in pTlb renal cell carcinoma.
Chen C; Kang Q; Wei Q; Xu B; Ye H; Wang T; Lu Y; Lu J
Abdom Radiol (NY); 2017 May; 42(5):1464-1471. PubMed ID: 27999886
[TBL] [Abstract][Full Text] [Related]
13. Angiogenesis of renal cell carcinoma: perfusion CT findings.
Chen Y; Zhang J; Dai J; Feng X; Lu H; Zhou C
Abdom Imaging; 2010 Oct; 35(5):622-8. PubMed ID: 19763683
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Subtype Differentiation of Small (≤ 4 cm) Solid Renal Mass Using Volumetric Histogram Analysis of DWI at 3-T MRI.
Li A; Xing W; Li H; Hu Y; Hu D; Li Z; Kamel IR
AJR Am J Roentgenol; 2018 Sep; 211(3):614-623. PubMed ID: 29812980
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Dual-tracer PET/CT in renal angiomyolipoma and subtypes of renal cell carcinoma.
Ho CL; Chen S; Ho KM; Chan WK; Leung YL; Cheng KC; Wong KN; Cheung MK; Wong KK
Clin Nucl Med; 2012 Nov; 37(11):1075-82. PubMed ID: 22996247
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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]
[Next] [New Search]