Papers

8

Total Citations

125

H-Index

7

About

Tom Routledge is a leading thoracic surgeon whose research centers on advancing robot-assisted thoracic surgery (RATS) for lung cancer treatment, with a particular focus on improving surgical outcomes, training methodologies, and cost-effectiveness. His major contributions include comprehensive comparisons between RATS and video-assisted thoracic surgery (VATS), demonstrating through propensity-matched analyses that robotic approaches offer comparable or superior short-term outcomes in lung cancer resection. Routledge has been instrumental in evaluating the Versius Surgical System for thoracic applications, conducting preclinical assessments that have helped establish its safety and efficacy. His work on surgical education has been particularly impactful, advocating for the integration of robotic simulation into core surgical training curricula. With over 125 citations across his most-cited papers, Routledge's research has shaped contemporary understanding of robotic thoracic surgery's learning curves, lymph node dissection quality, and long-term oncologic outcomes. Notably, he pioneered the use of interactive 3D-CT models to improve surgeon knowledge of pulmonary arterial anatomy, enhancing surgical planning confidence. His cost analyses, including assessments of the COVID-19 pandemic's financial impact, have provided crucial economic perspectives on robotic surgery adoption. Routledge's work continues to influence both clinical practice and surgical training standards in thoracic oncology.

Research Focus

Key Achievements

7
H-Index
8
Papers
125
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Robotic versus Video-Assisted Thoracic Surgery for Lung Cancer: Short-Term Outcomes of a Propensity Matched Analysis
37 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Guy's Hospital, Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago