Evidence map›Paper›PMID 34595483›Full record

Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2020

Spotlight-based 3D Instrument Guidance for Retinal Surgery.

Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi, Niravkumar Patel, Changyan He, Peter Gehlbach, Russell H Taylor, Alois Knoll, M Ali Nasseri, Iulian Iordachita

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    Article
  3. Article
  4. Autonomous Needle Navigation in Retinal Microsurgery: Evaluation inIEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation
    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

10 authors.

Mingchuan ZhouDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Jiahao WuDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Ali EbrahimiDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Niravkumar PatelDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Changyan HeDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Peter GehlbachWilmer Eye Institute, Johns Hopkins Hospital, Baltimore, MD 21287 USA.
Russell H TaylorDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
Alois KnollChair of Robotics, Artificial Intelligence and Real-time Systems, Technische Universität München, München 85748 Germany.
M Ali NasseriAugenklinik und Poliklinik, Klinikum rechts der Isar der Technische Universität München, München 81675 Germany.
Iulian IordachitaDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.

Funding

Enabling Technology for Safe Robot-assisted Surgical MicromanipulationR01EB023943 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI GEHLBACH, PETER LOUIS, IORDACHITA, IULIAN IOAN · 2017 to 2024
$2.3M
Enabling technology for image-guided robot-assisted sub-retinal injectionsR01EB025883 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI IORDACHITA, IULIAN IOAN · 2019 to 2021
$1.5M
NIBIB NIH HHS R01 EB023943NIBIB NIH HHS R01 EB025883
6 · The paper itself

Abstract

Retinal surgery is a complex activity that can be challenging for a surgeon to perform effectively and safely. Image guided robot-assisted surgery is one of the promising solutions that bring significant surgical enhancement in treatment outcome and reduce the physical limitations of human surgeons. In this paper, we demonstrate a novel method for 3D guidance of the instrument based on the projection of spotlight in the single microscope images. The spotlight projection mechanism is firstly analyzed and modeled with a projection on both a plane and a sphere surface. To test the feasibility of the proposed method, a light fiber is integrated into the instrument which is driven by the Steady-Hand Eye Robot (SHER). The spot of light is segmented and tracked on a phantom retina using the proposed algorithm. The static calibration and dynamic test results both show that the proposed method can easily archive 0.5 mm of tip-to-surface distance which is within the clinically acceptable accuracy for intraocular visual guidance.

Identifiers

PMID34595483
PMCPMC8480262

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.