Tsukasa Kochiyama

Juntendo University

Papers

3

Total Citations

35

H-Index

3

About

Tsukasa Kochiyama is a clinical researcher specializing in anesthesiology and perioperative pain management, with a particular focus on postoperative analgesia in the context of robot-assisted surgical procedures. His work addresses a critical and timely challenge in modern surgery: as robotic techniques become increasingly prevalent in thoracic and urologic procedures, optimal pain control strategies remain poorly defined. Kochiyama has made meaningful contributions by systematically comparing analgesic approaches—including thoracic epidural analgesia, intercostal nerve blocks, intravenous patient-controlled analgesia, and ultrasound-guided thoracic paraspinal blocks—in patients undergoing robot-assisted thoracic surgery. His 2021 comparative study on postoperative analgesia in robot-assisted thoracic surgery has garnered 15 citations, establishing it as a reference point for clinicians navigating this evolving landscape. His research also highlights important surgical safety considerations, including a notable case report on well leg compartment syndrome following robot-assisted radical cystectomy, which has accumulated 12 citations and raised awareness of position-related complications during prolonged robotic procedures. Collectively, Kochiyama's work bridges anesthesiology and surgical innovation, offering evidence-based guidance that directly improves patient outcomes in an era of rapidly advancing robotic surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Postoperative analgesia in patients undergoing robot-assisted thoracic surgery: a comparison between thoracic epidural analgesia and intercostal nerve block combined with intravenous patient-controlled analgesia
15 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Juntendo University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago