123 related articles for article (PubMed ID: 38374009)
1. Application of Computed Tomography Scanning Parameters Combined with Serum Cripto-1 in the Diagnosis of Renal Cell Carcinoma.
Liu N; Su C; Xue J
Arch Esp Urol; 2024 Jan; 77(1):25-30. PubMed ID: 38374009
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Renal cell carcinoma: A nomogram for the CT imaging-inclusive prediction of indolent, non-clear cell renal cortical tumours.
Karlo CA; Kou L; Di Paolo PL; Kattan MW; Motzer RJ; Russo P; Tickoo SK; Akin O; Hricak H
Eur J Cancer; 2016 May; 59():57-64. PubMed ID: 27016623
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Usefulness of CT texture analysis in differentiating benign and malignant renal tumours.
Deng Y; Soule E; Cui E; Samuel A; Shah S; Lall C; Sundaram C; Sandrasegaran K
Clin Radiol; 2020 Feb; 75(2):108-115. PubMed ID: 31668402
[TBL] [Abstract][Full Text] [Related]
7. Differential diagnosis of chromophobe renal cell carcinoma and papillary renal cell carcinoma with dual-energy spectral computed tomography.
Wang D; Huang X; Bai L; Zhang X; Wei J; Zhou J
Acta Radiol; 2020 Nov; 61(11):1562-1569. PubMed ID: 32088966
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Alkaline phosphatase combines with CT factors for differentiating small (≤ 4 cm) fat-poor angiomyolipoma from renal cell carcinoma: a multiple quantitative tool.
Peng T; Fan J; Xie B; Wang Q; Chen Y; Li Y; Wu K; Feng C; Li T; Chen H; Pu X; Liu J
World J Urol; 2023 May; 41(5):1345-1351. PubMed ID: 37093317
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Differentiating renal epithelioid angiomyolipoma from clear cell carcinoma: using a radiomics model combined with CT imaging characteristics.
Kim TM; Ahn H; Lee HJ; Kim MG; Cho JY; Hwang SI; Kim SY
Abdom Radiol (NY); 2022 Aug; 47(8):2867-2880. PubMed ID: 35697856
[TBL] [Abstract][Full Text] [Related]
13. Usefulness of rapid kV-switching dual energy CT in renal tumor characterization.
Çamlıdağ İ; Nural MS; Danacı M; Özden E
Abdom Radiol (NY); 2019 May; 44(5):1841-1849. PubMed ID: 30637472
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
[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. 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]
18. Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation.
Wentland AL; Yamashita R; Kino A; Pandit P; Shen L; Brooke Jeffrey R; Rubin D; Kamaya A
Abdom Radiol (NY); 2023 Feb; 48(2):642-648. PubMed ID: 36370180
[TBL] [Abstract][Full Text] [Related]
19. Intensity ratio curve analysis of small renal masses on T2-weighted magnetic resonance imaging: Differentiation of fat-poor angiomyolipoma from renal cell carcinoma.
Moriyama S; Yoshida S; Tanaka H; Tanaka H; Yokoyama M; Ishioka J; Matsuoka Y; Saito K; Kihara K; Fujii Y
Int J Urol; 2018 Jun; 25(6):554-560. PubMed ID: 29577440
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma.
Feng Z; Rong P; Cao P; Zhou Q; Zhu W; Yan Z; Liu Q; Wang W
Eur Radiol; 2018 Apr; 28(4):1625-1633. PubMed ID: 29134348
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
