Evidence map›Paper›PMID 37354219›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Trocar localisation for robot-assisted vitreoretinal surgery.

Jeremy Birch, Lyndon Da Cruz, Kawal Rhode, Christos Bergeles

Open access · hybridAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Extra-abdominal trocar and instrument detection for enhanced surgical workflow understanding.International journal of computer assisted radiology and surgery · 2024
    Article
  3. Review
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 2 institutions in 1 country.

Jeremy BirchSchool of Biomedical Engineering and Imaging Sciences, King's College London, Strand, London, WC2R 2LS, UK. jeremy.birch@kcl.ac.uk.ORCID http://orcid.org/0000-0001-7381-2497
Lyndon Da CruzMoorfields Eye Hospital, 162 City Rd, London, EC1V 2PD, UK.
Kawal RhodeSchool of Biomedical Engineering and Imaging Sciences, King's College London, Strand, London, WC2R 2LS, UK.
Christos BergelesSchool of Biomedical Engineering and Imaging Sciences, King's College London, Strand, London, WC2R 2LS, UK.
King's College London · GBMoorfields Eye Hospital NHS Foundation Trust · GB

Funding

European Research Council 714562
6 · The paper itself

Abstract

purposeRobot-assisted vitreoretinal surgery provides precise and consistent operations on the back of the eye. To perform this safely, knowledge of the surgical instrument's remote centre of motion (RCM) and the location of the insertion point into the eye (trocar) is required. This enables the robot to align both positions to pivot the instrument about the trocar, thus preventing any damaging lateral forces from being exerted.

methodsBuilding on a system developed in previous work, this study presents a trocar localisation method that uses a micro-camera mounted on a vitreoretinal surgical forceps, to track two ArUco markers attached on either side of a trocar. The trocar position is the estimated midpoint between the markers.

resultsExperimental evaluation of the trocar localisation was conducted. Results showed an RMSE of 1.82 mm for the localisation of the markers and an RMSE of 1.24 mm for the trocar localisation.

conclusionsThe proposed camera-based trocar localisation presents reasonable consistency and accuracy and shows improved results compared to other current methods. Optimum accuracy for this application would necessitate a 1.4 mm absolute error margin, which corresponds to the trocar's radius. The trocar localisation results are successfully found within this margin, yet the marker localisation would require further refinement to ensure consistency of localisation within the error margin. Further work will refine these position estimates and ensure the error stays consistently within this boundary.

Indexed as

RoboticsRobotic Surgical ProceduresVitreoretinal SurgeryHumansMotionSurgical InstrumentsArUcoAuroraEye-surgeryLocalisationRoboticsTrocar

Identifiers

PMID37354219
PMCPMC10838829
OpenAlexW4381889693

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.