Remote robotic-assisted endovascular interventions require real-time control of the robotic system to conduct precise device navigation. The delay (latency) between the input command and the catheter response can be affected by factors such as network speed and distance. This study evaluated the effect of network latency on robotic-assisted endovascular navigation in three vascular beds using in-vivo experimental model. Three operators performed femoral, carotid, and coronary endovascular robotic navigation blinded from the hybrid room with the prototype remote-enabled CorPath GRX system in a porcine model. Navigation was performed to different targets with randomly assigned network latencies from 0 to 1000 ms. Outcome measurements included navigation success, navigation time, perceived lag (1 = imperceptible, 5 = too long), and procedural impact scored by the operators (1 = no impact, 5 = unacceptable). Robotic-assisted remote endovascular navigation was successful in all 65 cases (9 femoral, 38 external carotid, 18 coronary). Guidewire times were not significantly different across the simulated network latency times. Compared to 0 ms added latency, both the procedural impact and perceived lag scores were significantly higher when the added latency was 400 ms or greater (< 0.01). Remote endovascular intervention was feasible in all studied anatomic regions. Network latency of 400 ms or above is perceptible, although acceptable to operators, which suggests that remote robotic-assisted femoral, carotid or coronary arterial interventions should be performed with network latency below 400 ms to provide seamless remote device control.

Background Robotic‐assisted endovascular surgery enables us to perform interventions from long distances. This study evaluates the workflow and telecommunication requirements of telerobotic peripheral vascular interventions. Methods Ten superficial femoral artery cases were performed by the operator being 44 miles away from the interventional suite, with an endovascular robotic system, on a high‐fidelity endovascular simulator. Procedural success, technical success, fluoroscopy time, residual stenosis, contrast dose and network delay were registered. Communication success was assessed after each procedure on a scale from 1 (unacceptable) to 5 (ideal). Results Procedural success and technical success were 100% and 80%, respectively. The mean residual stenosis, fluoroscopy time and contrast dose were 1.7 ± 5.25%, 6.5 ± 1.8 min and 58.8 ± 14.8 ml. The mean network latency was 38.9 ± 3.5 ms. Median communication success scores were 4.5 (min: 4, max: 5) reported by both the operator and the bedside technician on a scale of 1 (unacceptable) to 5 (ideal). Conclusion With a stable network connection and good communication protocol, a high success rate was achieved for remote robotic‐assisted peripheral vascular intervention in an ex vivo model.