Song Kang
Papers
1
Total Citations
2
H-Index
1
About
Song Kang is a leading clinical researcher in urologic oncology, with a primary focus on improving diagnostic accuracy and treatment planning for prostate cancer. His work centers on the comparative effectiveness of advanced imaging modalities, particularly multiparametric magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen PET/CT (PSMA PET/CT), for staging clinically significant disease. In a landmark 2024 multicenter retrospective study, Kang demonstrated the sensitivity and specificity of these tools for predicting seminal vesicle invasion (SVI)—a critical factor linked to poorer postoperative outcomes. By systematically evaluating MRI and PSMA PET/CT, his research provides urologists and oncologists with evidence-based guidance for risk stratification and surgical decision-making. While his most-cited paper has garnered early attention with 2 citations, its clinical relevance positions it as a foundational reference for future prospective trials. Kang’s contributions are vital for advancing precision medicine in prostate cancer, helping to reduce unnecessary interventions and improve patient prognosis through more accurate preoperative staging.
Research Focus
Key Achievements
Top Papers
- 1