Masataka Ikeda

Hyogo Medical University, Hyogo University

Papers

2

Total Citations

26

H-Index

2

About

Dr. Masataka Ikeda is a leading Japanese colorectal surgeon whose work has significantly advanced the safety and efficacy of minimally invasive surgery for rectal cancer. His primary research focuses on laparoscopic and robotic approaches for locally advanced rectal cancer, with a particular emphasis on optimizing surgical quality through precise pathological assessment. Dr. Ikeda’s most notable contribution is his leadership of the multicenter PRODUCT trial (2022, 19 citations), a landmark Japanese prospective study that rigorously evaluated circumferential resection margin (CRM) status and total mesorectal excision (TME) quality following laparoscopic surgery. By establishing a novel semi-opened circular specimen processing method, he provided a validated, universal index for assessing surgical outcomes, directly addressing a critical gap in the Japanese literature. His work has helped standardize quality control in rectal cancer surgery, influencing clinical practice. Additionally, Dr. Ikeda has investigated perioperative complications, such as subcutaneous emphysema in robotic and laparoscopic abdominal surgery (2024, 7 citations), further demonstrating his commitment to patient safety. Through these efforts, Dr. Ikeda has become a pivotal figure in bridging Japanese surgical techniques with global quality standards, offering invaluable insights for surgeons and researchers striving to improve oncologic outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Japanese multicenter prospective study investigating laparoscopic surgery for locally advanced rectal cancer with evaluation of CRM and TME quality (PRODUCT trial)
19 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Hyogo Medical University, Hyogo University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago