Qing Zhang
Papers
3
Total Citations
34
H-Index
3
About
Qing Zhang is a leading urologic oncology researcher whose work focuses on improving surgical outcomes for prostate cancer patients, particularly through the refinement of robot-assisted radical prostatectomy techniques. Their major contributions center on developing predictive models that enhance surgical precision and patient quality of life. In their highly cited 2020 study (24 citations), Zhang demonstrated that tumor location determined by preoperative MRI is an independent predictor of positive surgical margins after Retzius-sparing robot-assisted radical prostatectomy (RS-RARP), providing surgeons with critical preoperative planning information. Building on this, Zhang developed a clinically applicable prediction model for positive surgical margins in robot-assisted laparoscopic radical prostatectomy (2022, 7 citations), addressing a key gap in clinical practice. Most recently, Zhang introduced the novel BPPP model (2024, 3 citations), which integrates body mass index, prostate volume, pelvic cavity index, and prostate-muscle index to predict immediate urinary continence after RS-RARP—a breakthrough that directly impacts patients' postoperative recovery and quality of life. This innovative work represents a significant step toward personalized surgical planning in prostate cancer care.
Research Focus
Key Achievements
Top Papers
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