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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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Randomized trial of hypofractionated external-beam radiotherapy for prostate cancer.

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.
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Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain

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

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.
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Development and validation of a novel integrated clinical-genomic risk group classification for localized prostate cancer

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.
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Prostate cancer radiomics and the promise of radiogenomics

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.