Zhao, Y.; Jablonka, A.-M.; Maierhofer, N.A.; Roodaki, H.; Eslami, A.; Maier, M.; Nasseri, M.A.; Zapp, D. Comparison of Robot-Assisted and Manual Cannula Insertion in Simulated Big-Bubble Deep Anterior Lamellar Keratoplasty. Micromachines2023, 14, 1261.
Zhao, Y.; Jablonka, A.-M.; Maierhofer, N.A.; Roodaki, H.; Eslami, A.; Maier, M.; Nasseri, M.A.; Zapp, D. Comparison of Robot-Assisted and Manual Cannula Insertion in Simulated Big-Bubble Deep Anterior Lamellar Keratoplasty. Micromachines 2023, 14, 1261.
Zhao, Y.; Jablonka, A.-M.; Maierhofer, N.A.; Roodaki, H.; Eslami, A.; Maier, M.; Nasseri, M.A.; Zapp, D. Comparison of Robot-Assisted and Manual Cannula Insertion in Simulated Big-Bubble Deep Anterior Lamellar Keratoplasty. Micromachines2023, 14, 1261.
Zhao, Y.; Jablonka, A.-M.; Maierhofer, N.A.; Roodaki, H.; Eslami, A.; Maier, M.; Nasseri, M.A.; Zapp, D. Comparison of Robot-Assisted and Manual Cannula Insertion in Simulated Big-Bubble Deep Anterior Lamellar Keratoplasty. Micromachines 2023, 14, 1261.
Abstract
Abstract: This study aimed to compare the effcacy of robot-assisted and manual cannula insertion in simulated big-bubble deep anterior lamellar keratoplasty (DALK). Novice surgeons with no prior experience in performing DALK were trained to perform the procedure using manual or robot-assisted techniques. The results showed that both methods could generate an airtight tunnel in the porcine cornea, and result in successful generation of a deep stromal demarcation plane representing suffcient depth reached for big-bubble generation in most cases. However, the combination of intraoperative OCT and robotic assistance received a signifcant increase in the depth of achieved detachment in non-perforated cases, comprising a mean of 89% as opposed to 85% of the cornea in manual trials. This research suggests that robot-assisted DALK may offer certain advantages over manual techniques, particularly when used in conjunction with intraoperative OCT.
Keywords
robotic assistance; intraoperative OCT; DALK
Subject
Computer Science and Mathematics, Robotics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.