Publications by authors named "Daniel Lee Shen"
Background: Accurate delineations of regions of interest (ROIs) on multi-parametric magnetic resonance imaging (mpMRI) are crucial for development of automated, machine learning-based prostate cancer (PCa) detection and segmentation models. However, manual ROI delineations are labor-intensive and susceptible to inter-reader variability. Histopathology images from radical prostatectomy (RP) represent the "gold standard" in terms of the delineation of disease extents, for example, PCa, prostatitis, and benign prostatic hyperplasia (BPH).
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- - Intraprostatic inflammation is common in various prostate diseases like prostatitis and cancer, with links to periodontal diseases that may elevate serum prostate-specific antigen (PSA) levels in men.
- - Study aimed to identify specific periodontal pathogens in tissue samples from men diagnosed with benign prostatic hyperplasia (BPH), inflammation, and prostate cancer using DNA analysis techniques.
- - Results indicated the presence of periodontal pathogens in prostate tissues, suggesting a potential connection between periodontal health and prostate cancer, although the exact mechanisms remain unclear.