par Smit, Jorrit;Meenink, Thijs;Ladha, Reza ;de Smet, Marc D
Référence Investigative ophthalmology & visual science, Investigative ophthalmology & visual science (61)
Publication Publié, 2020-06-01
Référence Investigative ophthalmology & visual science, Investigative ophthalmology & visual science (61)
Publication Publié, 2020-06-01
Abstract de conférence
Résumé : | Purpose : To quantify the difference in depth precision between manual and robot-assisted surgery.Methods : Nine experienced vitreoretinal surgeons were asked to perform a subretinal injection on a phantom retina model, both manually and robot assisted using the Preceyes Surgical System (PSS) (Eindhoven, NL). Participants were randomized to perform manual or robot-assisted surgery first. The phantom retina model was composed of two gel layers separated by a thin paper layer. The task was to create a bleb under the paper, within the bottom gelatine layer, with the objective to keep the instrument as still as possible during injection.To measure distance to the target depth, which was below the paper layer, an OCT-based distance sensor was integrated into the subretinal needle. The OCT A-scan data was recorded, together with start and stop times of the injection. To quantify depth precision, drift and tremor of the instrument tip were analysed. Drift was defined as the total displacement over the entire injection time, tremor was defined as the amplitude of movements on a small time scale.Results : Mean drift in manual surgery was 363µm (SD 278µm) and reduced to 28µm (SD 22µm) in robot-assisted surgery. Mean tremor in manual surgery was 37µm (SD 18µm) and reduced to 4µm (SD 5µm) in robot-assisted surgery. Mean injection time in manual surgery was 44 seconds (SD 16 seconds) and mean injection time for robot assisted surgery was 63 seconds (SD 18 seconds).Conclusions : In this study it was shown that robot assisted surgery with the PSS drastically improves depth precision over manual surgery by reducing both drift and tremor by a factor of 10.This is a 2020 ARVO Annual Meeting abstract. |