Evidence map›Paper›PMID 37916479›Full record

ArticleJournal of endovascular therapy : an official journal of the International Society of Endovascular Specialists2025

A New Method for Common Femoral Arterial Access Using a Mixed Reality-Assisted Technique on a Phantom Model.

Johannes Hatzl, Daniel Henning, Niklas Hartmann, Dittmar Böckler, Christian Uhl

Open access · hybridAbstract read
In one paragraph

Article in Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists, 2025. 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
2.3field-weighted citation impact, top 11% 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, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Johannes HatzlDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-3152-7791
Daniel HenningDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Niklas HartmannDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-8442-0752
Dittmar BöcklerDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Christian UhlDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the technical feasibility and usability of a mixed reality (MiR)-assisted common femoral arterial (CFA) access technique using a sonography-assisted registration method. MATERIALS AND

methodsA total of 60 CFA punctures were performed on a phantom model by 2 observers. Thirty punctures were performed using MiR (MiR group) and 30 punctures were performed using a conventional sonography-guided access procedure (control group). In the MiR group, a virtual object was created based on a computed tomography (CT) angiography scan of the model and registered to the physical patient in an MiR environment utilizing a software prototype that allowed registration based on a sonography scan. Positional error assessment encompassed 4 measurements using cone beam CT scans: (1) distance of the needle tip to the centerline, (2) distance of the needle entry site from the mid-level of the ostium of the profound femoral artery, (3) angle of entry of the needle in coronal, and (4) sagittal planes. Technical success rates as well as positional errors were compared between both groups. In addition, the usability of the system was assessed according to the system usability scale (SUS).

resultsTechnical success was 96.7% and 100% in the MiR and control groups, respectively. The median distance between the needle tip and the centerline was 3.0 (interquartile range [IQR]: 2.0-4.6) in the MiR group and 3.2 mm (IQR: 2.3-3.9) (p=0.63) in the control group. Similarly, the median distance from the needle entry site to the mid-level of the ostium of the profound femoral artery was 3.0 mm (IQR: 2.0-5.0) in the MiR group and 4.5 mm (IQR: 2.0-7.8) (p=0.18) in the control group. The median coronal angles of needle entry were 7.5° (IQR: 6-11) and 6° (IQR: 2-12) (p=0.13), and the median sagittal angles were 50° (IQR: 47-51) and 51° (IQR: 50-55) (p<0.01) in the MiR and control groups, respectively. The mean SUS score provided by both observers was 51.3.

conclusionThe feasibility of an MiR-assisted CFA access technique could be demonstrated on a phantom model. Further studies are needed to investigate the technique beyond phantom model experiments and in different anatomical settings.Clinical ImpactThis study demonstrates the technical feasibility of a Mixed-Reality-assisted common femoral arterial access procedure on a phantom model. The positional accuracy was comparable to a conventional sonography-guided technique. However, there are several limitations that need to be resolved prior to potential implementation into clinical practice. Further studies are needed to investigate its performance beyond phantom model experiments and the prototypical application requires further technical refinement to increase its usability.

Indexed as

Catheterization, PeripheralFemoral ArteryPhantoms, ImagingUltrasonography, InterventionalComputed Tomography AngiographyCone-Beam Computed TomographyFeasibility StudiesHumansObserver VariationPredictive Value of TestsPuncturesReproducibility of ResultsUser-Computer Interfaceaugmented realityendovascularmixed realitynavigationvascular accessvascular surgery

Identifiers

PMID37916479
PMCPMC12433519
OpenAlexW4388225496

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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.