791 related articles for article (PubMed ID: 28280876)
1. 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]
2. Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT.
Young JR; Margolis D; Sauk S; Pantuck AJ; Sayre J; Raman SS
Radiology; 2013 May; 267(2):444-53. PubMed ID: 23382290
[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. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Performance of Relative Enhancement on Multiphasic MRI for the Differentiation of Clear Cell Renal Cell Carcinoma (RCC) From Papillary and Chromophobe RCC Subtypes and Oncocytoma.
Young JR; Coy H; Kim HJ; Douek M; Lo P; Pantuck AJ; Raman SS
AJR Am J Roentgenol; 2017 Apr; 208(4):812-819. PubMed ID: 28125273
[TBL] [Abstract][Full Text] [Related]
7. Multiphasic enhancement patterns of small renal masses (≤4 cm) on preoperative computed tomography: utility for distinguishing subtypes of renal cell carcinoma, angiomyolipoma, and oncocytoma.
Pierorazio PM; Hyams ES; Tsai S; Feng Z; Trock BJ; Mullins JK; Johnson PT; Fishman EK; Allaf ME
Urology; 2013 Jun; 81(6):1265-71. PubMed ID: 23601445
[TBL] [Abstract][Full Text] [Related]
8. Small renal masses (≤ 4 cm): differentiation of oncocytoma from renal clear cell carcinoma using ratio of lesion to cortex attenuation and aorta-lesion attenuation difference (ALAD) on contrast-enhanced CT.
Gentili F; Bronico I; Maestroni U; Ziglioli F; Silini EM; Buti S; de Filippo M
Radiol Med; 2020 Dec; 125(12):1280-1287. PubMed ID: 32385827
[TBL] [Abstract][Full Text] [Related]
9. Type 1 papillary renal cell carcinoma: differentiation from Type 2 papillary RCC on multiphasic MDCT.
Young JR; Coy H; Douek M; Lo P; Sayre J; Pantuck AJ; Raman SS
Abdom Radiol (NY); 2017 Jul; 42(7):1911-1918. PubMed ID: 28265706
[TBL] [Abstract][Full Text] [Related]
10. Sarcomatoid Renal Cell Carcinoma and Collecting Duct Carcinoma: Discrimination From Common Renal Cell Carcinoma Subtypes and Benign RCC Mimics on Multiphasic MDCT.
Young JR; Young JA; Margolis DJA; Sauk S; Sayre J; Pantuck AJ; Raman SS
Acad Radiol; 2017 Oct; 24(10):1226-1232. PubMed ID: 28528853
[TBL] [Abstract][Full Text] [Related]
11. Angiomyolipoma with minimal fat: differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images.
Yan L; Liu Z; Wang G; Huang Y; Liu Y; Yu Y; Liang C
Acad Radiol; 2015 Sep; 22(9):1115-21. PubMed ID: 26031228
[TBL] [Abstract][Full Text] [Related]
12. Differential radiologic characteristics of renal tumours on multiphasic computed tomography.
Ching BC; Tan HS; Tan PH; Toh CK; Kanesvaran R; Ng QS; Tan MH
Singapore Med J; 2017 May; 58(5):262-266. PubMed ID: 27090599
[TBL] [Abstract][Full Text] [Related]
13. Differentiation of Clear Cell Renal Cell Carcinoma from other Renal Cell Carcinoma Subtypes and Benign Oncocytoma Using Quantitative MDCT Enhancement Parameters.
Moldovanu CG; Petresc B; Lebovici A; Tamas-Szora A; Suciu M; Crisan N; Medan P; Buruian MM
Medicina (Kaunas); 2020 Oct; 56(11):. PubMed ID: 33126571
[No Abstract] [Full Text] [Related]
14. 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]
15. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
16. Aorta-Lesion-Attenuation-Difference (ALAD) on contrast-enhanced CT: a potential imaging biomarker for differentiating malignant from benign oncocytic neoplasms.
Dhyani M; Grajo JR; Rodriguez D; Chen Z; Feldman A; Tambouret R; Gervais DA; Arellano RS; Hahn PF; Samir AE
Abdom Radiol (NY); 2017 Jun; 42(6):1734-1743. PubMed ID: 28197683
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Small renal oncocytomas: differentiation with multiphase CT.
Gakis G; Kramer U; Schilling D; Kruck S; Stenzl A; Schlemmer HP
Eur J Radiol; 2011 Nov; 80(2):274-8. PubMed ID: 20667676
[TBL] [Abstract][Full Text] [Related]
19. Can contrast-enhanced ultrasound and acoustic radiation force impulse imaging characterize CT-indeterminate renal masses? A prospective evaluation with histological confirmation.
Thaiss WM; Bedke J; Kruck S; Spira D; Stenzl A; Nikolaou K; Horger M; Kaufmann S
World J Urol; 2019 Jul; 37(7):1339-1346. PubMed ID: 30324296
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]