Yubing Tong
Papers
2
Total Citations
10
H-Index
2
About
Yubing Tong is a researcher at the forefront of applying radiomics and machine learning to prostate cancer imaging. Her work focuses on leveraging advanced MRI analysis to improve clinical outcomes, particularly in cancer detection and post-surgical quality of life. A major contribution is her pioneering use of periprostatic adipose tissue (PPAT) radiomics to identify features associated with clinically significant prostate cancer, a study that has garnered 7 citations and highlights a novel link between lipid metabolism and tumor biology. She has also advanced the understanding of male continence by developing an MRI-based radiomics model of the levator ani muscle to predict urinary incontinence after robot-assisted radical prostatectomy, a critical step toward personalized surgical planning. Her research demonstrates how quantitative imaging can extract hidden biomarkers from standard scans, offering non-invasive tools for risk stratification and treatment guidance. With her work appearing in leading clinical journals, Tong is establishing herself as a key voice in the integration of computational imaging into urologic oncology, directly addressing unmet needs in cancer diagnosis and patient-centered outcomes.
Research Focus
Key Achievements
Top Papers
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- 2