170 related articles for article (PubMed ID: 35869307)
1. An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome.
Anari PY; Lay N; Gopal N; Chaurasia A; Samimi S; Harmon S; Firouzabadi FD; Merino MJ; Wakim P; Turkbey E; Jones EC; Ball MW; Turkbey B; Linehan WM; Malayeri AA
Abdom Radiol (NY); 2022 Oct; 47(10):3554-3562. PubMed ID: 35869307
[TBL] [Abstract][Full Text] [Related]
2. CT-derived radiomics predict the growth rate of renal tumours in von Hippel-Lindau syndrome.
Singh S; Dehghani Firouzabadi F; Chaurasia A; Homayounieh F; Ball MW; Huda F; Turkbey EB; Linehan WM; Malayeri AA
Clin Radiol; 2024 May; 79(5):e675-e681. PubMed ID: 38383255
[TBL] [Abstract][Full Text] [Related]
3. Clear Cell Renal Cell Carcinoma Growth Correlates with Baseline Diffusion-weighted MRI in Von Hippel-Lindau Disease.
Farhadi F; Nikpanah M; Paschall AK; Shafiei A; Tadayoni A; Ball MW; Linehan WM; Jones EC; Malayeri AA
Radiology; 2020 Jun; 295(3):583-590. PubMed ID: 32255415
[TBL] [Abstract][Full Text] [Related]
4. The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome.
Gopal N; Anari PY; Chaurasia A; Antony M; Wakim P; Linehan WM; Ball M; Turkbey E; Malayeri A
Abdom Radiol (NY); 2024 Feb; 49(2):542-550. PubMed ID: 38010527
[TBL] [Abstract][Full Text] [Related]
5. Kidney scoring surveillance: predictive machine learning models for clear cell renal cell carcinoma growth using MRI.
Yazdian Anari P; Zahergivar A; Gopal N; Chaurasia A; Lay N; Ball MW; Turkbey B; Turkbey E; Jones EC; Linehan WM; Malayeri AA
Abdom Radiol (NY); 2024 Apr; 49(4):1202-1209. PubMed ID: 38347265
[TBL] [Abstract][Full Text] [Related]
6. Non-Invasive Tumor Grade Evaluation in Von Hippel-Lindau-Associated Clear Cell Renal Cell Carcinoma: A Magnetic Resonance Imaging-Based Study.
Zahergivar A; Yazdian Anari P; Mendhiratta N; Lay N; Singh S; Dehghani Firouzabadi F; Chaurasia A; Golagha M; Homayounieh F; Gautam R; Harmon S; Turkbey E; Merino M; Jones EC; Ball MW; Turkbey B; Linehan WM; Malayeri AA
J Magn Reson Imaging; 2024 Feb; ():. PubMed ID: 38299714
[TBL] [Abstract][Full Text] [Related]
7. Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective.
Li ZC; Zhai G; Zhang J; Wang Z; Liu G; Wu GY; Liang D; Zheng H
Eur Radiol; 2019 Aug; 29(8):3996-4007. PubMed ID: 30523454
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
Sim KC; Han NY; Cho Y; Sung DJ; Park BJ; Kim MJ; Han YE
J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):873-881. PubMed ID: 37948361
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.
Lay N; Anari PY; Chaurasia A; Firouzabadi FD; Harmon S; Turkbey E; Gautam R; Samimi S; Merino MJ; Ball MW; Linehan WM; Turkbey B; Malayeri AA
Med Phys; 2023 Aug; 50(8):5020-5029. PubMed ID: 36855860
[TBL] [Abstract][Full Text] [Related]
11. Growth characteristics and therapeutic decision markers in von Hippel-Lindau disease patients with renal cell carcinoma.
Schuhmacher P; Kim E; Hahn F; Sekula P; Jilg CA; Leiber C; Neumann HP; Schultze-Seemann W; Walz G; Zschiedrich S
Orphanet J Rare Dis; 2019 Oct; 14(1):235. PubMed ID: 31661010
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Natural history of Von Hippel-Lindau disease-associated and sporadic clear cell renal cell carcinoma: a comparative study.
Wang J; Zhang L; Qiu J; Li Z; Wu Y; Zhang C; Yao L; Gong K; Li X; Zhou L
J Cancer Res Clin Oncol; 2022 Oct; 148(10):2631-2641. PubMed ID: 34709473
[TBL] [Abstract][Full Text] [Related]
16. Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.
Cui E; Li Z; Ma C; Li Q; Lei Y; Lan Y; Yu J; Zhou Z; Li R; Long W; Lin F
Eur Radiol; 2020 May; 30(5):2912-2921. PubMed ID: 32002635
[TBL] [Abstract][Full Text] [Related]
17. Germline VHL gene variant in patients with von Hippel-Lindau disease does not predict renal tumor growth.
Farhadi F; Nikpanah M; Li X; Symons R; Pourmorteza A; Merino MJ; Linehan WM; Malayeri AA
Abdom Radiol (NY); 2018 Oct; 43(10):2743-2749. PubMed ID: 29525880
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. CAIX and pax-8 Commonly Immunoreactive in Endolymphatic Sac Tumors: A Clinicopathologic Study of 26 Cases with Differential Considerations for Metastatic Renal Cell Carcinoma in von Hippel-Lindau Patients.
Thompson LDR; Magliocca KR; Andreasen S; Kiss K; Rooper L; Stelow E; Wenig BM; Bishop JA
Head Neck Pathol; 2019 Sep; 13(3):355-363. PubMed ID: 30291511
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
