Pablo Paglialunga

Universitat de Barcelona, Hospital Clínic de Barcelona

Papers

Total Citations

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About

Pablo Paglialunga is a pioneering thoracic surgeon whose research focuses on advancing robotic-assisted thoracic surgery (RATS) and refining minimally invasive techniques for lung cancer treatment. His major contributions center on demonstrating that the learning curve for robotic lobectomy yields superior clinical outcomes compared to traditional videothoracoscopic (VATS) lobectomy—a finding supported by his most-cited paper (7 citations). He has also introduced innovative surgical methods, such as the "tunnel technique" for robotic-assisted left upper lobectomy, which facilitates safer dissection in cases with incomplete or fused fissures (5 citations). Notably, Paglialunga documented the rapid implementation of a comprehensive robotic thoracic program, progressing from wedge resection to complex sleeve lobectomy within just six months (4 citations), showcasing the feasibility of accelerated skill acquisition. His work has significant implications for surgical training and patient outcomes, with cumulative citations reflecting growing interest in robotic approaches. By systematically comparing RATS and VATS learning curves and developing novel procedural strategies, Paglialunga is helping to shape the future of thoracic surgery, making it more precise, efficient, and accessible for both surgeons and patients.