Evidence map›Paper›PMID 37477817›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Impact of cardiac and respiratory motion on the 3D accuracy of image-guided interventions on monoplane systems.

Dagmar Bertsche, Patrick Metze, Leonhard-Moritz Schneider, Ina Vernikouskaya, Volker Rasche

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Dagmar BertscheDepartment of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.ORCID http://orcid.org/0000-0003-1020-6718
Patrick MetzeDepartment of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.
Leonhard-Moritz SchneiderDepartment of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.
Ina VernikouskayaDepartment of Internal Medicine II, Ulm University Medical Center, Ulm, Germany.ORCID http://orcid.org/0000-0002-4187-5685
Volker RascheDepartment of Internal Medicine II, Ulm University Medical Center, Ulm, Germany. volker.rasche@uni-ulm.de.ORCID http://orcid.org/0000-0001-8844-3583
Universität Ulm · DE

Funding

Bundesministerium für Bildung und Forschung 13GW0372C
6 · The paper itself

Abstract

purposeImage-guided intervention (IGI) systems have the potential to increase the efficiency in interventional cardiology but face limitations from motion. Even though motion compensation approaches have been proposed, the resulting accuracy has rarely been quantified using in vivo data. The purpose of this study is to investigate the potential benefit of motion-compensation in IGS systems.

methodsPatients scheduled for left atrial appendage closure (LAAc) underwent pre- and postprocedural non-contrast-enhanced cardiac magnetic resonance imaging (CMR). According to the clinical standard, the final position of the occluder device was routinely documented using x-ray fluoroscopy (XR). The accuracy of the IGI system was assessed retrospectively based on the distance of the 3D device marker location derived from the periprocedural XR data and the respective location as identified in the postprocedural CMR data.

resultsThe assessment of the motion-compensation depending accuracy was possible based on the patient data. With motion synchronization, the measured accuracy of the IGI system resulted similar to the estimated accuracy, with almost negligible distances of the device marker positions identified in CMR and XR. Neglection of the cardiac and/or respiratory phase significantly increased the mean distances, with respiratory motion mainly reducing the accuracy with rather low impact on the precision, whereas cardiac motion decreased the accuracy and the precision of the image guidance.

conclusionsIn the presented work, the accuracy of the IGI system could be assessed based on in vivo data. Motion consideration clearly showed the potential to increase the accuracy in IGI systems. Where the general decrease in accuracy in non-motion-synchronized data did not come unexpected, a clear difference between cardiac and respiratory motion-induced errors was observed for LAAc data. Since sedation and intervention location close to the large vessels likely impacts the respiratory motion contribution, an intervention-specific accuracy analysis may be useful for other interventions.

Indexed as

HeartHumansMotionRetrospective Studies3D accuracyImage-guided interventionMonoplane systemMotion-induced accuracy-effects

Identifiers

PMID37477817
PMCPMC11341615
OpenAlexW4384923308

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.