187 related articles for article (PubMed ID: 34347707)
1. CT Radiomics for the Prediction of Synchronous Distant Metastasis in Clear Cell Renal Cell Carcinoma.
Wen R; Huang J; Gao RZ; Wan D; Qin H; Peng YT; Liang YQ; Li X; Wang XR; He Y; Yang H
J Comput Assist Tomogr; 2021 Sep-Oct 01; 45(5):696-703. PubMed ID: 34347707
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. MRI radiomics-based nomogram for individualised prediction of synchronous distant metastasis in patients with clear cell renal cell carcinoma.
Bai X; Huang Q; Zuo P; Zhang X; Yuan J; Zhang X; Wang M; Xu W; Ye H; Zhao J; Sun H; Shao B; Wang H
Eur Radiol; 2021 Feb; 31(2):1029-1042. PubMed ID: 32856163
[TBL] [Abstract][Full Text] [Related]
9. Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.
He H; Jin Z; Dai J; Wang H; Sun J; Xu D
Cancer Med; 2023 Mar; 12(6):7627-7638. PubMed ID: 36397666
[TBL] [Abstract][Full Text] [Related]
10. CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma.
Chen M; Yin F; Yu Y; Zhang H; Wen G
Cancer Imaging; 2021 Jun; 21(1):42. PubMed ID: 34162442
[TBL] [Abstract][Full Text] [Related]
11. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
[TBL] [Abstract][Full Text] [Related]
12. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram.
Cheng D; Abudikeranmu Y; Tuerdi B
Curr Med Imaging; 2023; 19(9):1005-1017. PubMed ID: 36411581
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma.
Li Q; Liu YJ; Dong D; Bai X; Huang QB; Guo AT; Ye HY; Tian J; Wang HY
J Magn Reson Imaging; 2020 Nov; 52(5):1557-1566. PubMed ID: 32462799
[TBL] [Abstract][Full Text] [Related]
15. Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation.
Jiang Y; Li W; Huang C; Tian C; Chen Q; Zeng X; Cao Y; Chen Y; Yang Y; Liu H; Bo Y; Luo C; Li Y; Zhang T; Wang R
Front Oncol; 2020; 10():909. PubMed ID: 32850304
[No Abstract] [Full Text] [Related]
16. Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways.
Zhao Y; Liu G; Sun Q; Zhai G; Wu G; Li ZC
Eur Radiol; 2021 Jul; 31(7):5032-5040. PubMed ID: 33439312
[TBL] [Abstract][Full Text] [Related]
17. CT-based radiomics model using stability selection for predicting the World Health Organization/International Society of Urological Pathology grade of clear cell renal cell carcinoma.
Zhang H; Yin F; Chen M; Qi A; Yang L; Wen G
Br J Radiol; 2024 May; 97(1158):1169-1179. PubMed ID: 38688660
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.
Sun X; Liu L; Xu K; Li W; Huo Z; Liu H; Shen T; Pan F; Jiang Y; Zhang M
Medicine (Baltimore); 2019 Apr; 98(14):e15022. PubMed ID: 30946334
[TBL] [Abstract][Full Text] [Related]
20. Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas.
Kocak B; Durmaz ES; Kaya OK; Kilickesmez O
Acta Radiol; 2020 Jun; 61(6):856-864. PubMed ID: 31635476
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
