Tomoshi Sugiyama
Papers
1
Total Citations
8
H-Index
1
About
Tomoshi Sugiyama is a thoracic surgeon whose research centers on the comparative learning curves and clinical outcomes of minimally invasive lung cancer surgeries, particularly robot-assisted thoracic surgery (RATS) versus conventional video-assisted thoracic surgery (VATS). His most cited work, a 2021 study published as an Editors' Choice, directly addresses a critical gap in surgical training by analyzing the learning curve for robotic lobectomy among certified thoracic surgeons. By evaluating 79 RATS lobectomy cases, Sugiyama provided early, practical evidence that robotic approaches may offer distinct advantages in skill acquisition and procedural efficiency compared to VATS. This contribution has garnered 8 citations, reflecting its relevance to surgeons adopting robotic platforms. His research helps define benchmarks for safe implementation of RATS, impacting both surgical education and patient outcomes. Sugiyama’s work is notable for its focus on real-world clinical data, offering actionable insights for thoracic surgery programs transitioning to robotic techniques.
Research Focus
Key Achievements
Top Papers
- 1