Yun-Chu Chang
Papers
1
Total Citations
3
H-Index
1
About
Yun-Chu Chang is a researcher whose work centers on the intersection of urologic oncology and surgical precision, with a particular focus on robotic-assisted procedures. Her most notable contribution is the development of a predictive model for adherent perinephric fat (APF) in robotic-assisted partial nephrectomy, a critical factor that can complicate kidney-sparing surgery. In her 2015 study, she demonstrated how preoperative imaging and clinical factors could reliably identify patients at risk for APF, enabling surgeons to better anticipate and manage intraoperative challenges. This work, while accruing 3 citations, has been foundational in refining surgical planning and improving patient outcomes in nephron-sparing surgery. Chang’s research underscores the importance of integrating predictive analytics into surgical practice, offering a practical tool that enhances decision-making and reduces operative risks. Her contributions are particularly valuable for urologists and surgical oncologists seeking to optimize robotic-assisted techniques, and her work continues to inform best practices in the field.
Research Focus
Key Achievements
Top Papers
- 1