Evidence map›Paper›PMID 38378987›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Automatic image registration on intraoperative CBCT compared to Surface Matching registration on preoperative CT for spinal navigation: accuracy and workflow.

Henrik Frisk, Gustav Burström, Oscar Persson, Victor Gabriel El-Hajj, Luisa Coronado, Susanne Hager, Erik Edström, Adrian Elmi-Terander

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. The accuracy of navigated vs. robot-assisted pedicle screw placement in spine surgery: a retrospective single-centre comparative 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
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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

8 authors at 3 institutions in 2 countries.

Henrik FriskDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden. henrik.frisk@ki.se.ORCID http://orcid.org/0000-0001-7317-1554
Gustav BurströmDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Oscar PerssonDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Victor Gabriel El-HajjDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Luisa CoronadoClinical Affairs, Brainlab AG, Munich, Germany.
Susanne HagerClinical Affairs, Brainlab AG, Munich, Germany.
Erik EdströmDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Adrian Elmi-TeranderDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
Karolinska Institutet · SEBrainlab (Germany) · DEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSpinal navigation solutions have been slower to develop compared to cranial ones. To facilitate greater adoption and use of spinal navigation, the relatively cumbersome registration processes need to be improved upon. This study aims to validate a new solution for automatic image registration and compare it to a traditional Surface Matching method.

methodAdult patients undergoing spinal surgery requiring navigation were enrolled after providing consent. A registration matrix-Universal AIR (= Automatic Image Registration)-was placed in the surgical field and used for automatic registration based on intraoperative 3D imaging. A standard Surface Matching method was used for comparison. Accuracy measurements were obtained by comparing planned and acquired coordinates on the vertebrae.

resultsThirty-nine patients with 42 datasets were included. The mean accuracy of Universal AIR registration was 1.20 ± 0.42 mm, while the mean accuracy of Surface Matching registration was 1.94 ± 0.64 mm. Universal AIR registration was non-inferior to Surface Matching registration. Post hoc analysis showed a significantly greater accuracy for Universal AIR registration. In Surface Matching, but not automatic registration, user-related errors such as incorrect identification of the vertebral level were seen.

conclusionAutomatic image registration for spinal navigation using Universal AIR and intraoperative 3D imaging provided improved accuracy compared to Surface Matching registration. In addition, it minimizes user errors and offers a standardized workflow, making it a reliable registration method for navigated spinal procedures.

Indexed as

Spiral Cone-Beam Computed TomographySurgery, Computer-AssistedAdultHumansNeurosurgical ProceduresSpineWorkflowCBCTPatient trackingReference frameSpine surgerySurface MatchingSurgical navigation

Identifiers

PMID38378987
PMCPMC10973038
OpenAlexW4391972718

What OpenQuestion holds

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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.