Kyeong-Tae Lee
Papers
1
Total Citations
10
H-Index
1
About
Kyeong-Tae Lee is a pioneering surgeon whose research focuses on advancing robotic-assisted techniques in breast cancer surgery, particularly nipple-sparing mastectomy. His most notable contribution, detailed in his highly cited 2024 paper "Learning curve for robot-assisted nipple-sparing mastectomy: A single institution experience," provides critical insights into the procedural mastery required for this minimally invasive approach. With 10 citations already, this work has quickly become a foundational reference for surgeons adopting robotic methods, highlighting the balance between technical precision and patient outcomes. Lee’s research addresses the steep learning curve of robotic surgery, offering data-driven benchmarks that help reduce complications and improve cosmetic results. His achievements underscore a commitment to merging innovation with clinical practice, positioning him as a key figure in the evolution of oncoplastic surgery. For students and researchers, Lee’s work exemplifies how systematic analysis of surgical learning curves can accelerate the safe adoption of advanced technologies, ultimately enhancing the quality of care for breast cancer patients.
Research Focus
Key Achievements
Top Papers
- 1