About

Pietro Majno‐Hurst is a leading figure in the field of minimally invasive liver surgery, with a particular focus on the comparative effectiveness of robotic versus laparoscopic techniques. His research centers on refining surgical approaches for hepatocellular carcinoma (HCC) and optimizing outcomes in patients with cirrhosis. Majno‐Hurst’s major contributions include demonstrating the non-inferior oncologic outcomes of robotic liver resection (RLR) compared to laparoscopic liver resection (LLR) for early-stage HCC, as shown in his 2025 study (6 citations), and establishing that surgeons can safely train in both RLR and LLR simultaneously without compromising performance, as detailed in his 2024 learning curve analysis (14 citations). His 2023 propensity-matched comparison (12 citations) further solidifies the safety and efficacy of robotic approaches. Additionally, his 2019 work (9 citations) advocates for personalized resection strategies in cirrhotic patients, addressing a critical need in hepatobiliary surgery. With a cumulative impact of over 40 citations from these key papers, Majno‐Hurst is advancing the evidence base for robotic liver surgery and shaping future training paradigms, making his work essential reading for surgeons and researchers in hepatobiliary oncology.

Research Focus

Key Achievements

4
H-Index
4
Papers
41
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Concomitant training in robotic and laparoscopic liver resections of low-to-intermediate difficulty score: a retrospective analysis of the learning curve
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Ente Ospedaliero Cantonale, University of Applied Sciences and Arts of Southern Switzerland, Laboratory for Biomedical Neurosciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago