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Video atlas of pulmonary segmentectomy: robotic-assisted right S2 segmentectomy with 3D imaging.

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Segmentectomies Made Easy series: robotic-assisted left S1, S2 and S3 trisegmentectomy.

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Segmentectomies Made Easy series: robotic-assisted left S3 segmentectomy.

Zakariya Mouyer1, Aishah Zubaid Mughal2, Ayyoub Elfiky2

  • 1Department of Cardiothoracic Surgery, St George's Hospital, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Multimedia Manual of Cardiothoracic Surgery : MMCTS
|August 28, 2025
PubMed
Summary
This summary is machine-generated.

Robotic segmentectomy offers precision for complex lung resections. Pre-operative 3D imaging aids in planning and navigating anatomical variations for improved surgical outcomes.

Keywords:
3D modelMinimally invasive surgeryRobotic-assisted surgery

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Area of Science:

  • Thoracic Surgery
  • Surgical Oncology
  • Medical Imaging

Background:

  • Robotic-assisted thoracic surgery provides enhanced visualization and precision for complex pulmonary resections.
  • While beneficial, robotic sublobar resections like segmentectomies present technical challenges, especially with anatomical variations.
  • 3D reconstruction imaging aids in pre-operative assessment and surgical planning for improved accuracy.

Purpose of the Study:

  • To demonstrate a robotic left S3 segmentectomy for a metastatic pulmonary lesion.
  • To highlight the role of pre-operative 3D imaging in managing anatomical variants during robotic segmentectomy.
  • To provide a structured tutorial on robotic segmentectomy, emphasizing 3D visualization's impact on accuracy and outcomes.

Main Methods:

  • A robotic left S3 segmentectomy was performed for a metastatic pulmonary lesion.
  • Pre-operative 3D imaging was utilized to identify and plan for distinct bronchovascular anatomical variants.
  • The surgical procedure was documented step-by-step, from port placement to segmental resection and anatomical identification.

Main Results:

  • Robotic-assisted surgery facilitated precise dissection and resection despite anatomical complexities.
  • Pre-operative 3D imaging was crucial in adapting the surgical strategy to identified anatomical variants.
  • The case illustrates the potential of 3D visualization to enhance intra-operative decision-making in robotic segmentectomy.

Conclusions:

  • Robotic segmentectomy, guided by 3D imaging, can effectively manage complex pulmonary resections with anatomical variations.
  • The integration of 3D virtual modeling in robotic thoracic surgery requires further investigation and wider adoption.
  • This tutorial emphasizes the value of 3D visualization in optimizing outcomes for robotic segmentectomies.