Purpose <p>To evaluate a fully robotic, teleoperated system for performing various endovascular interventions in a preclinical porcine model.</p> Materials and Methods <p>The SENTANTE™ Endovascular Robotic System was assessed in six healthy porcine subjects using standard endovascular devices. Outcomes were assessed via procedural monitoring and gross pathological analysis. Haptic feedback performance was qualitatively assessed by the operators using a four-point scale (1 = very good, 2 = fair, 3 = poor, 4 = inadequate).</p> Results <p>A total of 18 endovascular interventional procedures were successfully completed, including renal artery stenting (3), embolization of the superior right renal artery branch (3), percutaneous transluminal angioplasty (PTA) of the superior mesenteric artery (3), left vertebral artery stenting (3), contralateral iliac artery PTA (3), and ipsilateral iliac artery stenting (3). All procedures (100%) were completed without manual conversion, including pre and post-procedural angiography, resulting in near-zero operator radiation exposure. The system was compatible with standard guidewires (0.014″, 0.018″, and 0.035″), catheters (2.7–8 Fr), and pushable coils (0.018″ and 0.035″). Post-procedural angiography demonstrated no signs of vessel injury. Minimal vessel trauma was observed in 3 of 16 target vessels during gross necropsy. Haptic feedback was rated as very good in three test models and as fair in the remaining three.</p> Conclusions <p>In a preclinical model, the SENTANTE™ system demonstrated the feasibility of performing endovascular interventions via teleoperation, including angiography, stenting, coil embolization, and PTA. Its compatibility with standard devices, haptic feedback, and elimination of operator radiation exposure support progression to clinical feasibility trials.</p> Graphical Abstract <p></p>

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Evaluation of Fully Teleoperated Robotic Endovascular Interventions with Haptic Feedback: The SENTANTE Endovascular Robotic System

  • Emiel W. M. Huistra,
  • Giovanni Federico Torsello,
  • Konstantinos Stavroulakis,
  • Lorenzo Patrone,
  • Arturas Mackevicius,
  • Max Amor,
  • Vilius Dambrauskas,
  • Vaidas Labunskas,
  • Leona Damalakiene,
  • Clark J. Zeebregts,
  • Tomas Baltrunas

摘要

Purpose

To evaluate a fully robotic, teleoperated system for performing various endovascular interventions in a preclinical porcine model.

Materials and Methods

The SENTANTE™ Endovascular Robotic System was assessed in six healthy porcine subjects using standard endovascular devices. Outcomes were assessed via procedural monitoring and gross pathological analysis. Haptic feedback performance was qualitatively assessed by the operators using a four-point scale (1 = very good, 2 = fair, 3 = poor, 4 = inadequate).

Results

A total of 18 endovascular interventional procedures were successfully completed, including renal artery stenting (3), embolization of the superior right renal artery branch (3), percutaneous transluminal angioplasty (PTA) of the superior mesenteric artery (3), left vertebral artery stenting (3), contralateral iliac artery PTA (3), and ipsilateral iliac artery stenting (3). All procedures (100%) were completed without manual conversion, including pre and post-procedural angiography, resulting in near-zero operator radiation exposure. The system was compatible with standard guidewires (0.014″, 0.018″, and 0.035″), catheters (2.7–8 Fr), and pushable coils (0.018″ and 0.035″). Post-procedural angiography demonstrated no signs of vessel injury. Minimal vessel trauma was observed in 3 of 16 target vessels during gross necropsy. Haptic feedback was rated as very good in three test models and as fair in the remaining three.

Conclusions

In a preclinical model, the SENTANTE™ system demonstrated the feasibility of performing endovascular interventions via teleoperation, including angiography, stenting, coil embolization, and PTA. Its compatibility with standard devices, haptic feedback, and elimination of operator radiation exposure support progression to clinical feasibility trials.

Graphical Abstract