Evidence map›Paper›PMID 32371880›Full record

ArticleScientific reports2020

Feasibility and accuracy of a robotic guidance system for navigated spine surgery in a hybrid operating room: a cadaver study.

Gustav Burström, Marcin Balicki, Alexandru Patriciu, Sean Kyne, Aleksandra Popovic, Ronald Holthuizen, Robert Homan, Halldor Skulason, Oscar Persson, Erik Edström and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Accuracy of augmented reality-assisted pedicle screw placement: a systematic review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. AI-driven tissue discrimination sensing methods for robot-assisted spine surgery: a state-of-the-art review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  5. Global analysis and prospects of assisted pedicle screw placement surgery: a bibliometric study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
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  11. Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections.IEEE transactions on medical robotics and bionics · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Navigation Techniques in Endoscopic Spine Surgery.BioMed research international · 2022
    Review
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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

11 authors at 4 institutions in 4 countries.

Gustav BurströmDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Gustav.burstrom@ki.se.
Marcin BalickiPhilips Research North America, Cambridge, USA.
Alexandru PatriciuPhilips Research North America, Cambridge, USA.
Sean KynePhilips Research North America, Cambridge, USA.
Aleksandra PopovicPhilips Research North America, Cambridge, USA.
Ronald HolthuizenDepartment of Image Guided Therapy Systems, Philips Healthcare, Best, the Netherlands.ORCID http://orcid.org/0000-0002-1704-9789
Robert HomanDepartment of Image Guided Therapy Systems, Philips Healthcare, Best, the Netherlands.
Halldor SkulasonDepartment of Neurosurgery, Landspitali University Hospital, Reykjavik, Iceland.
Oscar PerssonDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Erik EdströmDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Adrian Elmi-TeranderDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3776-6136
Karolinska University Hospital · SEPhilips (United States) · USPhilips (Netherlands) · NLReykjavík University · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of navigation and robotics in spine surgery has the potential to accurately identify and maintain bone entry position and planned trajectory. The goal of this study was to examine the feasibility, accuracy and efficacy of a new robot-guided system for semi-automated, minimally invasive, pedicle screw placement. A custom robotic arm was integrated into a hybrid operating room (OR) equipped with an augmented reality surgical navigation system (ARSN). The robot was mounted on the OR-table and used to assist in placing Jamshidi needles in 113 pedicles in four cadavers. The ARSN system was used for planning screw paths and directing the robot. The robot arm autonomously aligned with the planned screw trajectory, and the surgeon inserted the Jamshidi needle into the pedicle. Accuracy measurements were performed on verification cone beam computed tomographies with the planned paths superimposed. To provide a clinical grading according to the Gertzbein scale, pedicle screw diameters were simulated on the placed Jamshidi needles. A technical accuracy at bone entry point of 0.48 ± 0.44 mm and 0.68 ± 0.58 mm was achieved in the axial and sagittal views, respectively. The corresponding angular errors were 0.94 ± 0.83° and 0.87 ± 0.82°. The accuracy was statistically superior (p < 0.001) to ARSN without robotic assistance. Simulated pedicle screw grading resulted in a clinical accuracy of 100%. This study demonstrates that the use of a semi-automated surgical robot for pedicle screw placement provides an accuracy well above what is clinically acceptable.

Indexed as

AgedAged, 80 and overAugmented RealityCadaverCone-Beam Computed TomographyFeasibility StudiesFemaleHumansMaleMiddle AgedOperating RoomsPedicle ScrewsReproducibility of ResultsRobotic Surgical ProceduresSpine

Identifiers

PMID32371880
PMCPMC7200720
OpenAlexW3021156554

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.