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Radka Stoyanova
Researcher at University of Miami
Publications - 140
Citations - 3858
Radka Stoyanova is an academic researcher from University of Miami. The author has contributed to research in topics: Prostate cancer & Medicine. The author has an hindex of 31, co-authored 127 publications receiving 3404 citations. Previous affiliations of Radka Stoyanova include Fox Chase Cancer Center.
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Journal ArticleDOI
Randomized trial of hypofractionated external-beam radiotherapy for prostate cancer.
Alan Pollack,Gail Walker,Eric M. Horwitz,Robert Price,Steven J. Feigenberg,Andre Konski,Radka Stoyanova,Benjamin Movsas,Richard E. Greenberg,Robert G. Uzzo,Charlie Ma,Mark K. Buyyounouski +11 more
TL;DR: The hypofractionation regimen did not result in a significant reduction in BCDF; however, it is delivered in 2.5 fewer weeks; men with compromised urinary function before treatment may not be ideal candidates for this approach.
Journal ArticleDOI
Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain
Paul Sajda,Shuyan Du,Truman R. Brown,Radka Stoyanova,Dikoma C. Shungu,Xiangling Mao,Lucas C. Parra +6 more
TL;DR: An algorithm for blindly recovering constituent source spectra from magnetic resonance (MR) chemical shift imaging (CSI) of the human brain is presented, showing that it can be used to recover tissue-specific spectra given a processing hierarchy that proceeds coarse-to-fine.
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Genome-Wide Analyses of Avian Sarcoma Virus Integration Sites
Anna Narezkina,Konstantin Taganov,Samuel Litwin,Radka Stoyanova,Junpei Hayashi,Christoph Seeger,Anna Marie Skalka,Richard A. Katz +7 more
TL;DR: The mapping of 226 avian sarcoma virus integration sites in the human genome provides a more detailed description of the chromosomal features that may influence ASV integration and support the idea that distinct, virus-specific mechanisms mediate integration site selection.
Journal ArticleDOI
Development and validation of a novel integrated clinical-genomic risk group classification for localized prostate cancer
Daniel E. Spratt,Jingbin Zhang,Maria Santiago-Jimenez,Robert T. Dess,John W. Davis,Robert B. Den,Adam P. Dicker,Christopher J. Kane,A. Pollack,Radka Stoyanova,Firas Abdollah,Ashley E. Ross,Adam I. Cole,Edward Uchio,Josh M. Randall,Hao G. Nguyen,Shuang G. Zhao,Rohit Mehra,Andrew G. Glass,Lucia L.C. Lam,Jijumon Chelliserry,Marguerite du Plessis,Voleak Choeurng,Maria Aranes,Tyler Kolisnik,Jennifer Margrave,Jason Alter,Jennifer J. Jordan,Christine Buerki,Kasra Yousefi,Zaid Haddad,Elai Davicioni,Edouard J. Trabulsi,Stacy Loeb,Ashutosh K. Tewari,Peter R. Carroll,Sheila Weinmann,Edward M. Schaeffer,Eric A. Klein,R. Jeffrey Karnes,F.Y. Feng,Paul L. Nguyen +41 more
TL;DR: A commercially available genomic classifier in combination with standard clinicopathologic variables can generate a simple-to-use clinical-genomic risk grouping that more accurately identifies patients at low, intermediate, and high risk for metastasis and can be easily incorporated into current guidelines to better risk-stratify patients.
Journal ArticleDOI
Prostate cancer radiomics and the promise of radiogenomics
Radka Stoyanova,M. Takhar,Yohann Tschudi,John C. Ford,Gabriel Solórzano,Nicholas Erho,Yoganand Balagurunathan,Sanoj Punnen,Elai Davicioni,Robert J. Gillies,Alan Pollack +10 more
TL;DR: The mpMRI radiomics data indicate that the platform would significantly improve the biopsy targeting of prostate habitats through better recognition of indolent versus aggressive disease, thereby facilitating a more personalized approach to prostate cancer management.