Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study.
5G network
Alarm
Network delay
Robot
Telesurgery
Journal
Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653
Informations de publication
Date de publication:
26 Dec 2023
26 Dec 2023
Historique:
received:
14
08
2023
accepted:
04
11
2023
medline:
27
12
2023
pubmed:
27
12
2023
entrez:
26
12
2023
Statut:
aheadofprint
Résumé
Network latency is the most important factor affecting the performance of telemedicine. The aim of the study is to assess the feasibility and efficacy of a novel network latency management system in 5G telesurgery. We conducted 20 telesurgery simulation trials (hitching rings to columns) and 15 remote adrenalectomy procedures in the 5G network environment. Telemedicine Network Latency Management System and the traditional "Ping command" method (gold standard) were used to monitor network latency during preoperative simulated telesurgery and formal telesurgery. We observed the working status of the Telemedicine Network Latency Management System and calculated the difference between the network latency data and packet loss rate detected by the two methods. In addition, due to the lower latency of the 5G network, we tested the alert function of the system using the 4G network with relatively high network latency. The Telemedicine Network Latency Management System showed no instability during telesurgery simulation trials and formal telesurgery. After 20 telesurgery simulation trials and 15 remote adrenalectomy procedures, the p-value for the difference between the network latency data monitored by the Telemedicine Network Latency Management System and the "Ping command" method was greater than 0.05 in each case. Meanwhile, the surgeons reported that the Telemedicine Network Latency Management System had a friendly interface and was easy to operate. Besides, when the network latency exceeded a set threshold, a rapid alarm sounded in the system. The Telemedicine Network Latency Management System was simple and easy to operate, and it was feasible and effective to use it to monitor network latency in telesurgery. The system had an intuitive and concise interface, and its alarm function increased the safety of telesurgery. The system's own multidimensional working ability and information storage capacity will be more suitable for telemedicine work.
Sections du résumé
BACKGROUND
BACKGROUND
Network latency is the most important factor affecting the performance of telemedicine. The aim of the study is to assess the feasibility and efficacy of a novel network latency management system in 5G telesurgery.
METHODS
METHODS
We conducted 20 telesurgery simulation trials (hitching rings to columns) and 15 remote adrenalectomy procedures in the 5G network environment. Telemedicine Network Latency Management System and the traditional "Ping command" method (gold standard) were used to monitor network latency during preoperative simulated telesurgery and formal telesurgery. We observed the working status of the Telemedicine Network Latency Management System and calculated the difference between the network latency data and packet loss rate detected by the two methods. In addition, due to the lower latency of the 5G network, we tested the alert function of the system using the 4G network with relatively high network latency.
RESULTS
RESULTS
The Telemedicine Network Latency Management System showed no instability during telesurgery simulation trials and formal telesurgery. After 20 telesurgery simulation trials and 15 remote adrenalectomy procedures, the p-value for the difference between the network latency data monitored by the Telemedicine Network Latency Management System and the "Ping command" method was greater than 0.05 in each case. Meanwhile, the surgeons reported that the Telemedicine Network Latency Management System had a friendly interface and was easy to operate. Besides, when the network latency exceeded a set threshold, a rapid alarm sounded in the system.
CONCLUSION
CONCLUSIONS
The Telemedicine Network Latency Management System was simple and easy to operate, and it was feasible and effective to use it to monitor network latency in telesurgery. The system had an intuitive and concise interface, and its alarm function increased the safety of telesurgery. The system's own multidimensional working ability and information storage capacity will be more suitable for telemedicine work.
Identifiants
pubmed: 38148405
doi: 10.1007/s00464-023-10585-x
pii: 10.1007/s00464-023-10585-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s).
Références
Marescaux J et al (2001) Transatlantic robot-assisted telesurgery. Nature 413(6854):379–380
doi: 10.1038/35096636
pubmed: 11574874
Nguan C, Miller B, Patel R et al (2008) Pre-clinical remote telesurgery trial of a da Vinci telesurgery prototype. Int J Med Robot 4(4):304–309
doi: 10.1002/rcs.210
pubmed: 18803341
Sterbis JR, Hanly EJ, Herman BC et al (2008) Transcontinental telesurgical nephrectomy using the da Vinci robot in a porcine model. Urology 71(5):971–973
doi: 10.1016/j.urology.2007.11.027
pubmed: 18295861
Hung AJ, Chen J, Shah A et al (2018) Telementoring and telesurgery for minimally invasive procedures. J Urol 199(2):355–369
doi: 10.1016/j.juro.2017.06.082
pubmed: 28655529
Jin ML, Brown MM, Patwa D et al (2021) Telemedicine, telementoring, and telesurgery for surgical practices. Curr Probl Surg 58(12):100986
doi: 10.1016/j.cpsurg.2021.100986
pubmed: 34895561
Xia SB, Lu QS (2021) Development status of telesurgery robotic system. Chin J Traumatol 24(3):144–147
doi: 10.1016/j.cjtee.2021.03.001
pubmed: 33744069
pmcid: 8173578
Perez M, Xu S, Chauhan S et al (2016) Impact of delay on telesurgical performance: study on the robotic simulator dV-Trainer. Int J Comput Assist Radiol Surg 11(4):581–587
doi: 10.1007/s11548-015-1306-y
pubmed: 26450105
Xu S, Perez M, Yang K et al (2014) Determination of the latency effects on surgical performance and the acceptable latency levels in telesurgery using the dV-Trainer((R)) simulator. Surg Endosc 28(9):2569–2576
doi: 10.1007/s00464-014-3504-z
pubmed: 24671353
Zheng J, Wang Y, Zhang J et al (2020) 5G ultra-remote robot-assisted laparoscopic surgery in China. Surg Endosc 34(11):5172–5180
doi: 10.1007/s00464-020-07823-x
pubmed: 32700149
Yi B et al (2016) The first clinical use of domestically produced Chinese minimally invasive surgical robot system “MicroHand S.” Surg Endosc 30(6):2649–2655
doi: 10.1007/s00464-015-4506-1
pubmed: 26293795
Yi B et al (2017) Domestically produced Chinese minimally invasive surgical robot system “MicroHand S” is applied to clinical surgery preliminarily in China. Surg Endosc 31(1):487–493
doi: 10.1007/s00464-016-4945-3
pubmed: 27194259
Li J, Jiao W, Yuan H et al (2022) Telerobot-assisted laparoscopic adrenalectomy: feasibility study. Br J Surg 110:6–9
doi: 10.1093/bjs/znac279
pubmed: 35997257
Sachdeva N, Klopukh M, Clair RS, Hahn WE (2021) Using conditional generative adversarial networks to reduce the effects of latency in robotic telesurgery. J Robot Surg 15(4):635–641
doi: 10.1007/s11701-020-01149-5
pubmed: 33025374
Madder RD, VanOosterhout S, Mulder A et al (2020) Network latency and long-distance robotic telestenting: exploring the potential impact of network delays on telestenting performance. Catheter Cardiovasc Interv 95(5):914–919
doi: 10.1002/ccd.28425
pubmed: 31410958
Barba P, Stramiello J, Funk EK et al (2022) Remote telesurgery in humans: a systematic review. Surg Endosc 36(5):2771–2777
doi: 10.1007/s00464-022-09074-4
pubmed: 35246740
pmcid: 9923406
Li J et al (2023) Application of improved robot-assisted laparoscopic telesurgery with 5G technology in urology. Eur Urol 83(1):41–44
doi: 10.1016/j.eururo.2022.06.018
pubmed: 35817641
Lu ES, Reppucci VS, Houston SKS 3rd et al (2021) Three-dimensional telesurgery and remote proctoring over a 5G network. Digit J Ophthalmol 27(3):38–43
doi: 10.5693/djo.01.2021.06.003
pubmed: 34924881
pmcid: 8668170
Mohan A, Wara UU, Arshad Shaikh MT et al (2021) Telesurgery and robotics: an improved and efficient era. Cureus 13(3):e14124
pubmed: 33927932
pmcid: 8075759