116 related articles for article (PubMed ID: 37945492)
1. Quantitative Measurement on Contrast-Enhanced CT Distinguishes Small Clear Cell Renal Cell Carcinoma From Benign Renal Tumors: A Multicenter Study.
Luo S; Lin W; Wu J; Zhang W; Kui X; Lai S; Wei R; Pang X; Wang Y; He C; Liu J; Yang R
Acad Radiol; 2024 Apr; 31(4):1460-1471. PubMed ID: 37945492
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Use of specific contrast-enhanced CT regions of interest to differentiate renal oncocytomas from small clear cell and chromophobe renal cell carcinomas.
Qu JY; Jiang H; Wang XF; Song XH; Hao CJ
Diagn Interv Radiol; 2022 Nov; 28(6):555-562. PubMed ID: 36550755
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. CT differentiation of the oncocytoma and renal cell carcinoma based on peripheral tumor parenchyma and central hypodense area characterisation.
Qu J; Zhang Q; Song X; Jiang H; Ma H; Li W; Wang X
BMC Med Imaging; 2023 Jan; 23(1):16. PubMed ID: 36707788
[TBL] [Abstract][Full Text] [Related]
8. The value of CT features and demographic data in the differential diagnosis of type 2 papillary renal cell carcinoma from fat-poor angiomyolipoma and oncocytoma.
Zhou C; Ban X; Luo L; Shi C
Abdom Radiol (NY); 2022 Nov; 47(11):3838-3846. PubMed ID: 36085376
[TBL] [Abstract][Full Text] [Related]
9. Voxel-based whole-lesion enhancement parameters: a study of its clinical value in differentiating clear cell renal cell carcinoma from renal oncocytoma.
Chen F; Gulati M; Hwang D; Cen S; Yap F; Ugwueze C; Varghese B; Desai M; Aron M; Gill I; Duddalwar V
Abdom Radiol (NY); 2017 Feb; 42(2):552-560. PubMed ID: 27595574
[TBL] [Abstract][Full Text] [Related]
10. Small (< 4 cm) Renal Mass: Differentiation of Oncocytoma From Renal Cell Carcinoma on Biphasic Contrast-Enhanced CT.
Sasaguri K; Takahashi N; Gomez-Cardona D; Leng S; Schmit GD; Carter RE; Leibovich BC; Kawashima A
AJR Am J Roentgenol; 2015 Nov; 205(5):999-1007. PubMed ID: 26496547
[TBL] [Abstract][Full Text] [Related]
11. Development of a Multiparametric Renal CT Algorithm for Diagnosis of Clear Cell Renal Cell Carcinoma Among Small (≤ 4 cm) Solid Renal Masses.
Al Nasibi K; Pickovsky JS; Eldehimi F; Flood TA; Lavallee LT; Tsampalieros AK; Schieda N
AJR Am J Roentgenol; 2022 Nov; 219(5):814-823. PubMed ID: 35766532
[No Abstract] [Full Text] [Related]
12. The value of quantitative CT texture analysis in differentiation of angiomyolipoma without visible fat from clear cell renal cell carcinoma on four-phase contrast-enhanced CT images.
You MW; Kim N; Choi HJ
Clin Radiol; 2019 Jul; 74(7):547-554. PubMed ID: 31010583
[TBL] [Abstract][Full Text] [Related]
13. Can whole-tumor radiomics-based CT analysis better differentiate fat-poor angiomyolipoma from clear cell renal cell caricinoma: compared with conventional CT analysis?
Ma Y; Cao F; Xu X; Ma W
Abdom Radiol (NY); 2020 Aug; 45(8):2500-2507. PubMed ID: 31980867
[TBL] [Abstract][Full Text] [Related]
14. Differentiation of renal oncocytoma and renal clear cell carcinoma using relative CT enhancement ratio.
Ren A; Cai F; Shang YN; Ma ES; Huang ZG; Wang W; Lu Y; Zhang XZ
Chin Med J (Engl); 2015 Jan; 128(2):175-9. PubMed ID: 25591558
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Differentiation of Predominantly Solid Enhancing Lipid-Poor Renal Cell Masses by Use of Contrast-Enhanced CT: Evaluating the Role of Texture in Tumor Subtyping.
Varghese BA; Chen F; Hwang DH; Cen SY; Desai B; Gill IS; Duddalwar VA
AJR Am J Roentgenol; 2018 Dec; 211(6):W288-W296. PubMed ID: 30240299
[TBL] [Abstract][Full Text] [Related]
17. Four-phase computed tomography helps differentiation of renal oncocytoma with central hypodense areas from clear cell renal cell carcinoma.
Qu JY; Jiang H; Song XH; Wu JK; Ma H
Diagn Interv Radiol; 2023 Mar; 29(2):205-211. PubMed ID: 36960636
[TBL] [Abstract][Full Text] [Related]
18. A triple-classification for differentiating renal oncocytoma from renal cell carcinoma subtypes and CK7 expression evaluation: a radiomics analysis.
Yu Z; Ding J; Pang H; Fang H; He F; Xu C; Li X; Ren K
BMC Urol; 2022 Sep; 22(1):147. PubMed ID: 36096829
[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. Morphologic analysis with computed tomography may help differentiate fat-poor angiomyolipoma from renal cell carcinoma: a retrospective study with 602 patients.
Kim YH; Han K; Oh YT; Jung DC; Cho NH; Park SY
Abdom Radiol (NY); 2018 Mar; 43(3):647-654. PubMed ID: 28677004
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
