ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2020
A comparison of robotic and manual surgery for internal limiting membrane peeling.
Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Robot-Assisted Eye Surgery: A Systematic Review of Effectiveness, Safety, and Practicality in Clinical Settings.Translational vision science & technology · 2024Pooled it
- Technical advances in robotic retinal surgery: a systematic review and future research directions.Journal of robotic surgery · 2026Review
- The Impact of Vitreoretinal Surgery in Patients with Uveitis: Current Strategies and Emerging Perspectives.Diagnostics (Basel, Switzerland) · 2026Review
- The Association Between Retinal Nerve Fibre Layer Loss and Forceps Trauma During Surgery for Idiopathic Full Thickness Macular Hole.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Development of Teleoperated Robotic System for Remote Intraocular Microsurgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Control Modes of Teleoperated Surgical Robotic System's Tools in Ophthalmic Surgery.IEEE transactions on medical robotics and bionics · 2025Article
- Advancements in robotic surgery for vitreoretinal diseases: current trends and the future.Japanese journal of ophthalmology · 2025Review
- Robotising vitreoretinal surgeries.Eye (London, England) · 2025Review
- Evaluation of (Shared) Autonomy in Robot-Assisted Vitreoretinal Surgery Using a Surgical Model.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025Article
- Comparison of Surgical Times Between Manual and Robot-Assisted Epiretinal Membrane Peeling.Translational vision science & technology · 2024Article
- Transforming the future of ophthalmology: artificial intelligence and robotics' breakthrough role in surgical and medical retina advances: a mini review.Frontiers in medicine · 2024Review
- Microsurgery Robots: Applications, Design, and Development.Sensors (Basel, Switzerland) · 2023Review
- The State of Intraoperative OCT in Vitreoretinal Surgery: Recent Advances and Future Challenges.Tomography (Ann Arbor, Mich.) · 2023Review
- Robot-Assisted Epiretinal Membrane Peeling: A Prospective Assessment of Pre- and Intra-Operative Times and of Surgeons' Subjective Perceptions.Journal of clinical medicine · 2023Article
- Robot-assisted subretinal injection system: development and preliminary verification.BMC ophthalmology · 2022Article
- Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- A review of robotic surgical training: establishing a curriculum and credentialing process in ophthalmology.Eye (London, England) · 2021Review
- Clinical Evaluation of an Instrument-Integrated OCT-Based Distance Sensor for Robotic Vitreoretinal Surgery.Ophthalmology science · 2021Article
- A Review of Robotic and OCT-Aided Systems for Vitreoretinal Surgery.Advances in therapy · 2021Review
- The multiprobe: a revolutionary concept for vitreoretinal surgery.Therapeutic advances in ophthalmologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare the Preceyes Surgical Robotic System (Eindhoven, Netherlands) to manual internal limiting membrane (ILM) peeling using the Eyesi surgical simulator (VRmagic, Mannheim, Germany) as the operative platform.
methodsA comparative study was carried out with surgeons initially performing ILM peeling manually and then with the robot. Twenty-three vitreoretinal surgeons agreed to participate and all consented to the use of their surgical data from the Eyesi surgical simulator. Surgeons were given a 5-min demonstration of the devices and were allowed to practice for 10 min before attempting the membrane peel. Initially, the peel was performed manually and afterwards, this was repeated using the robot-controlled forceps. Surgical simulator outcome measures were compared between approaches.
resultsThe average time required for the procedure was 5 min for the manual approach and 9 min with the robot (paired t test, p = 0.002). Intraocular instrument movement was reduced by half with the robot. On average 344 mm was required to complete the ILM peeling with the robot compared with 600 mm using the manual approach (paired t test, p = 0.002). There were fewer macular retinal hemorrhages with the robot: 53 with manual surgery, 32 with the robot (Mann-Whitney U test, p = 0.035). Retinal injuries were eliminated with the robot.
conclusionsIntraocular robotic surgery is still in its infancy and validation work is needed to understand the potential benefits and limitations of emerging technologies. Safety enhancements over current techniques may be possible and could lead to the broader adoption of robotic intraocular surgery in the future.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.