Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness-Reference-Cited by-同舟云学术

Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness

Published:2019-09 Issue:3 Volume:202 Page:498-505
ISSN:0022-5347
Container-title:Journal of Urology
language:en
Short-container-title:Journal of Urology

Author:

Hectors Stefanie J.¹²,Cherny Mathew²,Yadav Kamlesh K.³⁴,Beksaç Alp Tuna³,Thulasidass Hari³,Lewis Sara¹²,Davicioni Elai⁵,Wang Pei⁶,Tewari Ashutosh K.³,Taouli Bachir¹²

Affiliation:

1. Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York

2. Departments of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York

3. Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York

4. SEMA4, A Mount Sinai Venture, Stamford, Connecticut

5. GenomeDx Biosciences Inc., Vancouver, British Columbia, Canada

6. Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

Cited by 82 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Is it possible to detect cribriform adverse pathology in prostate cancer with magnetic resonance imaging machine learning-based radiomics?;Computing and Artificial Intelligence;2024-06-24

2. MRI‐based radiomic features for identifying recurrent prostate cancer after proton radiation therapy;Journal of Applied Clinical Medical Physics;2024-02-26

3. A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancer;Carcinogenesis;2024-01-09

4. Active Surveillance for Prostate Cancer;Radiologic Clinics of North America;2024-01

5. Artificial Intelligence Applications in Prostate Cancer Management: Success Stories and Future Ahead;UroCancer Clinics of India;2024-01