177 related articles for article (PubMed ID: 35834111)
1. Performance of CT radiomics in predicting the overall survival of patients with stage III clear cell renal carcinoma after radical nephrectomy.
Han D; Yu N; Yu Y; He T; Duan X
Radiol Med; 2022 Aug; 127(8):837-847. PubMed ID: 35834111
[TBL] [Abstract][Full Text] [Related]
2. Prediction models for clear cell renal cell carcinoma ISUP/WHO grade: comparison between CT radiomics and conventional contrast-enhanced CT.
Han D; Yu Y; Yu N; Dang S; Wu H; Jialiang R; He T
Br J Radiol; 2020 Oct; 93(1114):20200131. PubMed ID: 32706977
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
[TBL] [Abstract][Full Text] [Related]
5. Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma.
Gao Y; Wang X; Zhao X; Zhu C; Li C; Li J; Wu X
BMC Cancer; 2023 Oct; 23(1):953. PubMed ID: 37814228
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Predicting the recurrence risk of renal cell carcinoma after nephrectomy: potential role of CT-radiomics for adjuvant treatment decisions.
Deniffel D; McAlpine K; Harder FN; Jain R; Lawson KA; Healy GM; Hui S; Zhang X; Salinas-Miranda E; van der Kwast T; Finelli A; Haider MA
Eur Radiol; 2023 Aug; 33(8):5840-5850. PubMed ID: 37074425
[TBL] [Abstract][Full Text] [Related]
8. A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.
Nie P; Yang G; Wang Y; Xu Y; Yan L; Zhang M; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Wang N; Duan S; Wang X; Wang Z
Eur Radiol; 2023 Dec; 33(12):8858-8868. PubMed ID: 37389608
[TBL] [Abstract][Full Text] [Related]
9. A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study.
Nie P; Liu S; Zhou R; Li X; Zhi K; Wang Y; Dai Z; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Xu Y; Yang G
Eur J Radiol; 2023 Sep; 166():111018. PubMed ID: 37562222
[TBL] [Abstract][Full Text] [Related]
10. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.
Zeng H; Chen L; Wang M; Luo Y; Huang Y; Ma X
Aging (Albany NY); 2021 Mar; 13(7):9960-9975. PubMed ID: 33795526
[TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a CT-Based Radiomics Nomogram for Predicting Postoperative Progression-Free Survival in Stage I-III Renal Cell Carcinoma.
Zhang H; Yin F; Chen M; Yang L; Qi A; Cui W; Yang S; Wen G
Front Oncol; 2021; 11():742547. PubMed ID: 35155180
[TBL] [Abstract][Full Text] [Related]
12. [Predicting postoperative recurrence of stage Ⅰ-Ⅲ renal clear cell carcinoma based on preoperative CT radiomics feature nomogram].
Zhang H; Yin F; Chen M; Qi A; Yang L; Cui W; Yang S; Wen G
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug; 41(9):1358-1365. PubMed ID: 34658350
[TBL] [Abstract][Full Text] [Related]
13. CT-Based Radiomics Signature for Preoperative Prediction of Coagulative Necrosis in Clear Cell Renal Cell Carcinoma.
Xu K; Liu L; Li W; Sun X; Shen T; Pan F; Jiang Y; Guo Y; Ding L; Zhang M
Korean J Radiol; 2020 Jun; 21(6):670-683. PubMed ID: 32410406
[TBL] [Abstract][Full Text] [Related]
14. CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma.
Demirjian NL; Varghese BA; Cen SY; Hwang DH; Aron M; Siddiqui I; Fields BKK; Lei X; Yap FY; Rivas M; Reddy SS; Zahoor H; Liu DH; Desai M; Rhie SK; Gill IS; Duddalwar V
Eur Radiol; 2022 Apr; 32(4):2552-2563. PubMed ID: 34757449
[TBL] [Abstract][Full Text] [Related]
15. A combined postoperative nomogram for survival prediction in clear cell renal carcinoma.
Ming Y; Chen X; Xu J; Zhan H; Zhang J; Ma T; Huang C; Liu Z; Huang Z
Abdom Radiol (NY); 2022 Jan; 47(1):297-309. PubMed ID: 34647146
[TBL] [Abstract][Full Text] [Related]
16. An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma.
Yang H; Wu K; Liu H; Wu P; Yuan Y; Wang L; Liu Y; Zeng H; Li J; Liu W; Wu S
Eur Radiol; 2023 Nov; 33(11):7532-7541. PubMed ID: 37289245
[TBL] [Abstract][Full Text] [Related]
17. A CT-based radiomics nomogram for differentiation of small masses (< 4 cm) of renal oncocytoma from clear cell renal cell carcinoma.
Li X; Ma Q; Tao C; Liu J; Nie P; Dong C
Abdom Radiol (NY); 2021 Nov; 46(11):5240-5249. PubMed ID: 34268628
[TBL] [Abstract][Full Text] [Related]
18. Radiomics Model for Predicting FOXP3 Expression Level and Survival in Clear Cell Renal Carcinoma.
Wang J; Huang Z; Zhou J
Acad Radiol; 2024 Apr; 31(4):1447-1459. PubMed ID: 37940428
[TBL] [Abstract][Full Text] [Related]
19. Nomogram combining pre-operative clinical characteristics and spectral CT parameters for predicting the WHO/ISUP pathological grading in clear cell renal cell carcinoma.
Zhang H; Li F; Jing M; Xi H; Zheng Y; Liu J
Abdom Radiol (NY); 2024 Apr; 49(4):1185-1193. PubMed ID: 38340180
[TBL] [Abstract][Full Text] [Related]
20. The radiomics-based tumor heterogeneity adds incremental value to the existing prognostic models for predicting outcome in localized clear cell renal cell carcinoma: a multicenter study.
Yang G; Nie P; Yan L; Zhang M; Wang Y; Zhao L; Li M; Xie F; Xie H; Li X; Xiang F; Wang N; Cheng N; Zhao X; Wang N; Wang Y; Chen C; Yun C; Cui J; Duan S; Zhang R; Hao D; Wang X; Wang Z; Niu H
Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2949-2959. PubMed ID: 35344062
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]