Radka Stoyanova

Overview

Explore the profile of Radka Stoyanova including associated specialties, affiliations and a list of published articles.

Snapshot

Articles 96

Citations 1315

Followers 0

Related Specialties

Oncology

Radiology

Urology

Top 10 Co-Authors

Alan Pollack

Sanoj Punnen

Matthew C Abramowitz

Oleksandr N Kryvenko

Deukwoo Kwon

John C Ford

Dipen J Parekh

Alan Dal Pra

Adrian L Breto

Mark L Gonzalgo

Published In

Int J Radiat Oncol Biol Phys

Front Oncol

Strahlenther Onkol

Cancers (Basel)

J Clin Oncol

Affiliations

Soon will be listed here.

Recent Articles

11.

Uncovering prostate cancer aggressiveness signal in T2-weighted MRI through a three-reference tissues normalization technique

Algohary A, Zacharaki E, Breto A, Alhusseini M, Wallaengen V, Xu I, et al.

NMR Biomed . 2023 Nov; 37(3):e5069. PMID: 37990759

Quantitative T2-weighted MRI (T2W) interpretation is impeded by the variability of acquisition-related features, such as field strength, coil type, signal amplification, and pulse sequence parameters. The main purpose of this...

12.

A Deep Learning Approach for Automatic Segmentation during Daily MRI-Linac Radiotherapy of Glioblastoma

Breto A, Cullison K, Zacharaki E, Wallaengen V, Maziero D, Jones K, et al.

Cancers (Basel) . 2023 Nov; 15(21). PMID: 37958415

Glioblastoma changes during chemoradiotherapy are inferred from high-field MRI before and after treatment but are rarely investigated during radiotherapy. The purpose of this study was to develop a deep learning...

13.

Clinical-Genomic Risk Group Classification of Suspicious Lesions on Prostate Multiparametric-MRI

Stoyanova R, Zavala-Romero O, Kwon D, Breto A, Xu I, Algohary A, et al.

Cancers (Basel) . 2023 Nov; 15(21). PMID: 37958414

The utilization of multi-parametric MRI (mpMRI) in clinical decisions regarding prostate cancer patients' management has recently increased. After biopsy, clinicians can assess risk using National Comprehensive Cancer Network (NCCN) risk...

14.

Radiogenomic profiling of prostate tumors prior to external beam radiotherapy converges on a transcriptomic signature of TGF-β activity driving tumor recurrence

Ku A, Shankavaram U, Trostel S, Zhang H, Sater H, Harmon S, et al.

medRxiv . 2023 May; PMID: 37205576

Background: Patients with localized prostate cancer have historically been assigned to clinical risk groups based on local disease extent, serum prostate specific antigen (PSA), and tumor grade. Clinical risk grouping...

15.

Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning

Fogarty R, Goldgof D, Hall L, Lopez A, Johnson J, Gadara M, et al.

Cancers (Basel) . 2023 May; 15(8). PMID: 37190264

Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in...

16.

Implementation and evaluation of a dynamic contrast enhanced MR perfusion protocol for glioblastoma using a 0.35T MRI-Linac system

Maziero D, Azzam G, de La Fuente M, Stoyanova R, Ford J, Mellon E

ArXiv . 2023 May; PMID: 37131875

Purpose: MRI-linear accelerator (MRI-Linac) systems allow for daily tracking of MRI changes during radiotherapy (RT). Since one common MRI-Linac operates at 0.35T, there are efforts towards developing protocols at that...

17.

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images

Xu I, Van Booven D, Goberdhan S, Breto A, Porto J, Alhusseini M, et al.

J Pers Med . 2023 Mar; 13(3). PMID: 36983728

The recent integration of open-source data with machine learning models, especially in the medical field, has opened new doors to studying disease progression and/or regression. However, the ability to use...

18.

Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study

Delgadillo R, Spieler B, Deana A, Ford J, Kwon D, Yang F, et al.

Sci Rep . 2022 Nov; 12(1):20136. PMID: 36418901

For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely impact disease-specific quality of life. Early warning of potential RT toxicities can...

19.

Longitudinal Changes and Predictive Value of Multiparametric MRI Features for Prostate Cancer Patients Treated with MRI-Guided Lattice Extreme Ablative Dose (LEAD) Boost Radiotherapy

Algohary A, Alhusseini M, Breto A, Kwon D, Xu I, Gaston S, et al.

Cancers (Basel) . 2022 Sep; 14(18). PMID: 36139635

We investigated the longitudinal changes in multiparametric MRI (mpMRI) (T2-weighted, Apparent Diffusion Coefficient (ADC), and Dynamic Contrast Enhanced (DCE-)MRI) of prostate cancer patients receiving Lattice Extreme Ablative Dose (LEAD) radiotherapy...

20.

Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer

Breto A, Spieler B, Zavala-Romero O, Alhusseini M, Patel N, Asher D, et al.

Front Oncol . 2022 Jun; 12:854349. PMID: 35664789

Background/hypothesis: MRI-guided online adaptive radiotherapy (MRI-g-OART) improves target coverage and organs-at-risk (OARs) sparing in radiation therapy (RT). For patients with locally advanced cervical cancer (LACC) undergoing RT, changes in bladder...