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Segmentectomies Made Easy series: robotic-assisted right S1 and S2 segmentectomy. | LitMetric

Segmentectomies Made Easy series: robotic-assisted right S1 and S2 segmentectomy.

Multimed Man Cardiothorac Surg

Department of Thoracic Surgery, New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, UK

Published: September 2025


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Article Abstract

Three-dimensional (3D) guided robotic-assisted thoracic surgery is increasingly recognized as the pioneering approach for the most complex of pulmonary resections, offering high-definition 3D visualization, enhanced instrument augmentation and tremor-free tissue articulation. Compared with open thoracotomy, the robotic platform is associated with reduced peri-operative morbidity, shorter hospital admissions and faster patient recovery. However, sublobar resections such as segmentectomies remain anatomically and technically demanding, particularly in the context of resecting multiple segments, as showcased in this right S1 and S2 segmentectomy. The integration of 3D reconstruction imaging allows for meticulous pre-operative assessment of bronchovascular anatomy, enabling tailored surgical planning and more accurate dissection. Despite these clear advantages, the routine application of 3D virtual modelling in thoracic surgery is still underutilized and remains insufficiently represented in the existing body of evidence. This video tutorial is the fourth entry in the "Segmentectomies Made Easy" atlas and demonstrates a robotic right S1 and S2 segmentectomy performed for a primary pulmonary lesion in the S1 segment. Pre-operative 3D imaging revealed the distinct anatomical structures, which played a pivotal role in shaping the dissection strategy. The tutorial provides a clear, step-by-step account of the procedure, from port placement to vascular resection and complex anatomical identification, emphasizing how 3D visualization enhances surgical accuracy, improves intra-operative decision-making and optimizes outcomes in robotic-assisted thoracic surgery.

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Source
http://dx.doi.org/10.1510/mmcts.2025.089DOI Listing

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