Evidence map›Paper›PMID 26287813›Full record

ArticleLasers in surgery and medicine2015

Handheld-automated microsurgical instrumentation for intraocular laser surgery.

Sungwook Yang, Louis A Lobes, Joseph N Martel, Cameron N Riviere

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Lasers in surgery and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Simultaneous Online Registration-Independent Stiffness Identification and Tip Localization of Surgical Instruments in Robot-assisted Eye Surgery.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2023
    Article
  3. Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    Article
  4. Task Autonomy of a Flexible Endoscopic System for Laser-Assisted Surgery.Cyborg and bionic systems (Washington, D.C.) · 2022
    Article
  5. Techniques for robot-aided intraocular surgery using monocular vision.The International journal of robotics research · 2018
    Article
  6. EyeSLAM: Real-time simultaneous localization and mapping of retinal vessels during intraocular microsurgery.The international journal of medical robotics + computer assisted surgery : MRCAS · 2018
    Article
  7. Review
  8. Robotic Vitreoretinal Surgery.Retina (Philadelphia, Pa.) · 2017
    Review
  9. Electromagnetic Tracker for Active Handheld Robotic Systems.Proceedings of IEEE Sensors. IEEE International Conference on Sensors
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Sungwook YangThe Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pennsylvania, 15213.
Louis A LobesUniversity of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, Pennsylvania, 15213.
Joseph N MartelUniversity of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, Pennsylvania, 15213.
Cameron N RiviereThe Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pennsylvania, 15213.
Carnegie Mellon University · USUniversity of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

An Active Handheld MicromanipulatorR01EB000526 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI RIVIERE, CAMERON N · 2003 to 2017
$2.6M
NIBIB NIH HHS R01 EB000526
6 · The paper itself

Abstract

BACKGROUND AND

objectiveLaser photocoagulation is a mainstay or adjuvant treatment for a variety of common retinal diseases. Automated laser photocoagulation during intraocular surgery has not yet been established. The authors introduce an automated laser photocoagulation system for intraocular surgery, based on a novel handheld instrument. The goals of the system are to enhance accuracy and efficiency and improve safety. MATERIALS AND

methodsTriple-ring patterns are introduced as a typical arrangement for the treatment of proliferative retinopathy and registered to a preoperative fundus image. In total, 32 target locations are specified along the circumferences of three rings having diameters of 1, 2, and 3 mm, with a burn spacing of 600 μm. Given the initial system calibration, the retinal surface is reconstructed using stereo vision, and the targets specified on the preoperative image are registered with the control system. During automated operation, the laser probe attached to the manipulator of the active handheld instrument is deflected as needed via visual servoing in order to correct the error between the aiming beam and a specified target, regardless of any erroneous handle motion by the surgeon. A constant distance of the laser probe from the retinal surface is maintained in order to yield consistent size of burns and ensure safety during operation. Real-time tracking of anatomical features enables compensation for any movement of the eye. A graphical overlay system within operating microscope provides the surgeon with guidance cues for automated operation. Two retinal surgeons performed automated and manual trials in an artificial model of the eye, with each trial repeated three times. For the automated trials, various targeting thresholds (50-200 μm) were used to automatically trigger laser firing. In manual operation, fixed repetition rates were used, with frequencies of 1.0-2.5 Hz. The power of the 532 nm laser was set at 3.0 W with a duration of 20 ms. After completion of each trial, the speed of operation and placement error of burns were measured. The performance of the automated laser photocoagulation was compared with manual operation, using interpolated data for equivalent firing rates from 1.0 to 1.75 Hz.

resultsIn automated trials, average error increased from 45 ± 27 to 60 ± 37 μm as the targeting threshold varied from 50 to 200 μm, while average firing rate significantly increased from 0.69 to 1.71 Hz. The average error in the manual trials increased from 102 ± 67 to 174 ± 98 μm as firing rate increased from 1.0 to 2.5 Hz. Compared to the manual trials, the average error in the automated trials was reduced by 53.0-56.4%, resulting in statistically significant differences (P ≤ 10(-20) ) for all equivalent frequencies (1.0-1.75 Hz). The depth of the laser tip in the automated trials was consistently maintained within 18 ± 2 μm root-mean-square (RMS) of its initial position, whereas it significantly varied in the manual trials, yielding an error of 296 ± 30 μm RMS. At high firing rates in manual trials, such as at 2.5 Hz, laser photocoagulation is marginally attained, yielding failed burns of 30% over the entire pattern, whereas no failed burns are found in automated trials. Relatively regular burn sizes are attained in the automated trials by the depth servoing of the laser tip, while burn sizes in the manual trials vary considerably. Automated avoidance of blood vessels was also successfully demonstrated, utilizing the retina-tracking feature to identify avoidance zones.

conclusionAutomated intraocular laser surgery can improve the accuracy of photocoagulation while ensuring safety during operation. This paper provides an initial demonstration of the technique under reasonably realistic laboratory conditions; development of a clinically applicable system requires further work.

Indexed as

HumansLaser CoagulationMicrosurgeryModels, AnatomicRetinaRobotic Surgical Proceduresmicromanipulationretinal photocoagulationroboticsvisual servoing

Identifiers

PMID26287813
PMCPMC4889221
OpenAlexW2138356287

What OpenQuestion holds

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Registered trials

None linked

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.