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Robotically Assisted, Minimally Invasive Ascending Aortic Replacement: A Feasibility Study in Anatomical Models.

Bryant W Fisher1, Hubert Stein2, Olga Greenberg2

  • 1Department of Cardiothoracic Surgery, UPMC, Pittsburgh, PA, United States.

European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery
|December 22, 2025
PubMed
Summary
This summary is machine-generated.

This study demonstrates the feasibility of robotic ascending aortic replacement using anatomical models. Robotic suturing proved accurate and efficient, suggesting potential for clinical application in vascular surgery.

Keywords:
aortic surgerypreclinical surgical modelrobotic-assisted cardiovascular surgerysurgical simulation

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Area of Science:

  • Minimally invasive surgery
  • Vascular surgery
  • Robotic surgery

Background:

  • Robotic technology is established in cardiac procedures like mitral valve repair and coronary artery bypass grafting.
  • Its application in vascular surgery, particularly for ascending aortic replacement, remains largely unexplored.
  • This study addresses the gap in knowledge regarding robotic ascending aortic replacement.

Purpose of the Study:

  • To establish fundamental surgical techniques for robotically assisted ascending aortic replacement.
  • To evaluate the feasibility and preliminary outcomes of this novel procedure in anatomical models.

Main Methods:

  • The DaVinci 5 robotic platform was used for ascending aortic replacement in 6 porcine thoracic organ packs and 2 human cadaver models.
  • The procedure involved ascending aorta resection and Dacron graft implantation.
  • Key procedural steps, operative times, and anastomotic accuracy were recorded.

Main Results:

  • Robotically assisted ascending aortic replacement was feasible in all porcine and human cadaveric simulations.
  • Anastomotic times were recorded, with proximal and distal anastomoses in porcine models taking 9.7 ± 3.2 and 10.7 ± 4.5 minutes, respectively.
  • Human cadaveric models showed slightly longer anastomotic times (12.3 ± 1.9 and 13.3 ± 2.0 minutes) with high suture accuracy.

Conclusions:

  • Robotic replacement of the ascending aorta is technically feasible in anatomical models.
  • The procedure demonstrated reasonable anastomotic times and high accuracy, indicating potential suitability for clinical settings.
  • Robotic suturing on the ascending aorta can be performed with accuracy and efficiency.