Nicholas Cheshire
Imperial College London, St Mary's Hospital, Imperial College Healthcare NHS Trust
Papers
11
Total Citations
731
H-Index
9
About
Nicholas Cheshire is a pioneering vascular and endovascular surgeon whose research has fundamentally shaped the integration of robotic technology into complex vascular procedures. Working at the intersection of surgical innovation and engineering, Cheshire has dedicated much of his career to advancing robotic-assisted endovascular techniques, particularly in the treatment of aortic aneurysms and the navigation of challenging vascular anatomy. His most influential contributions center on the clinical application of robotically steerable catheter systems, most notably the Magellan robotic platform. His early work demonstrating the initial clinical use of robotic catheters during endovascular aneurysm repair (EVAR), cited 69 times, laid the groundwork for a body of research that collectively exceeds 700 citations. His landmark 2010 review of robotic technology in vascular surgery (158 citations) remains a cornerstone reference, while his studies on robot-assisted fenestrated EVAR (143 citations) demonstrated the practical feasibility of robotic navigation in anatomically demanding cases. Cheshire's research has also rigorously addressed safety and biomechanical concerns, including reducing contact forces in aortic arch vessels and evaluating robotic performance in porcine models. His work has directly influenced how surgeons approach complex endovascular interventions, reducing operator radiation exposure and improving procedural precision across the field.
Research Focus
Key Achievements
Top Papers
- 1Clinical applications of robotic technology in vascular and endovascular surgery158 citations · 2010
- 2
- 3Evaluation of robotic endovascular catheters for arch vessel cannulation91 citations · 2011
- 4The role of robotic endovascular catheters in fenestrated stent grafting77 citations · 2010
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- 6Robot-Assisted Antegrade In-Situ Fenestrated Stent Grafting61 citations · 2008
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