289 related articles for article (PubMed ID: 31127316)
1. CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.
Deng Y; Soule E; Samuel A; Shah S; Cui E; Asare-Sawiri M; Sundaram C; Lall C; Sandrasegaran K
Eur Radiol; 2019 Dec; 29(12):6922-6929. PubMed ID: 31127316
[TBL] [Abstract][Full Text] [Related]
2. CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes.
Lubner MG; Stabo N; Abel EJ; Del Rio AM; Pickhardt PJ
AJR Am J Roentgenol; 2016 Jul; 207(1):96-105. PubMed ID: 27145377
[TBL] [Abstract][Full Text] [Related]
3. CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma.
Feng Z; Shen Q; Li Y; Hu Z
Cancer Imaging; 2019 Feb; 19(1):6. PubMed ID: 30728073
[TBL] [Abstract][Full Text] [Related]
4. Texture analysis of small renal cell carcinomas at MDCT for predicting relevant histologic and protein biomarkers.
Scrima AT; Lubner MG; Abel EJ; Havighurst TC; Shapiro DD; Huang W; Pickhardt PJ
Abdom Radiol (NY); 2019 Jun; 44(6):1999-2008. PubMed ID: 29804215
[TBL] [Abstract][Full Text] [Related]
5. Imaging Tool for Predicting Renal Clear Cell Carcinoma Fuhrman Grade: Comparing R.E.N.A.L. Nephrometry Score and CT Texture Analysis.
Sun R; Zhao S; Jiang H; Jiang H; Dai Y; Zhang C; Wang S
Biomed Res Int; 2021; 2021():1821876. PubMed ID: 34977234
[TBL] [Abstract][Full Text] [Related]
6. Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study.
Goyal A; Razik A; Kandasamy D; Seth A; Das P; Ganeshan B; Sharma R
Abdom Radiol (NY); 2019 Oct; 44(10):3336-3349. PubMed ID: 31300850
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. CT-based radiomic model predicts high grade of clear cell renal cell carcinoma.
Ding J; Xing Z; Jiang Z; Chen J; Pan L; Qiu J; Xing W
Eur J Radiol; 2018 Jun; 103():51-56. PubMed ID: 29803385
[TBL] [Abstract][Full Text] [Related]
9. Correlation of CT imaging features and tumor size with Fuhrman grade of clear cell renal cell carcinoma.
Oh S; Sung DJ; Yang KS; Sim KC; Han NY; Park BJ; Kim MJ; Cho SB
Acta Radiol; 2017 Mar; 58(3):376-384. PubMed ID: 27235451
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Utility of CT Texture Analysis in Differentiating Low-Attenuation Renal Cell Carcinoma From Cysts: A Bi-Institutional Retrospective Study.
Kim NY; Lubner MG; Nystrom JT; Swietlik JF; Abel EJ; Havighurst TC; Silverman SG; McGahan JP; Pickhardt PJ
AJR Am J Roentgenol; 2019 Dec; 213(6):1259-1266. PubMed ID: 31386573
[No Abstract] [Full Text] [Related]
12. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
[TBL] [Abstract][Full Text] [Related]
13. Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.
Haji-Momenian S; Lin Z; Patel B; Law N; Michalak A; Nayak A; Earls J; Loew M
Abdom Radiol (NY); 2020 Mar; 45(3):789-798. PubMed ID: 31822969
[TBL] [Abstract][Full Text] [Related]
14. Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma.
Gill TS; Varghese BA; Hwang DH; Cen SY; Aron M; Aron M; Duddalwar VA
Abdom Radiol (NY); 2019 Apr; 44(4):1470-1480. PubMed ID: 30506142
[TBL] [Abstract][Full Text] [Related]
15. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade.
Shu J; Tang Y; Cui J; Yang R; Meng X; Cai Z; Zhang J; Xu W; Wen D; Yin H
Eur J Radiol; 2018 Dec; 109():8-12. PubMed ID: 30527316
[TBL] [Abstract][Full Text] [Related]
16. CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.
Lin F; Cui EM; Lei Y; Luo LP
Abdom Radiol (NY); 2019 Jul; 44(7):2528-2534. PubMed ID: 30919041
[TBL] [Abstract][Full Text] [Related]
17. Low enhancement on multiphase contrast-enhanced CT images: an independent predictor of the presence of high tumor grade of clear cell renal cell carcinoma.
Zhu YH; Wang X; Zhang J; Chen YH; Kong W; Huang YR
AJR Am J Roentgenol; 2014 Sep; 203(3):W295-300. PubMed ID: 25148187
[TBL] [Abstract][Full Text] [Related]
18. Texture analysis as a radiomic marker for differentiating renal tumors.
Yu H; Scalera J; Khalid M; Touret AS; Bloch N; Li B; Qureshi MM; Soto JA; Anderson SW
Abdom Radiol (NY); 2017 Oct; 42(10):2470-2478. PubMed ID: 28421244
[TBL] [Abstract][Full Text] [Related]
19. 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]
20.
Zhang L; Zhao H; Jiang H; Zhao H; Han W; Wang M; Fu P
Abdom Radiol (NY); 2021 Dec; 46(12):5618-5628. PubMed ID: 34455450
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
