Evidence map›Paper›PMID 37927377›Full record

ArticleJournal of healthcare informatics research2023

Application of Mixed Reality to Ultrasound-guided Femoral Arterial Cannulation During Real-time Practice in Cardiac Interventions.

Miguel Alonso-Felipe, Javier Manuel Aguiar-Pérez, María Ángeles Pérez-Juárez, Carlos Baladrón, Julio Peral-Oliveira, Ignacio J Amat-Santos

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  4. Review
  5. Article
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

6 authors at 4 institutions in 1 country.

Miguel Alonso-FelipeData Engineering Research Group, School of Telecommunications Engineering, TSCIT Department, University of Valladolid, Valladolid, Spain.
Javier Manuel Aguiar-PérezData Engineering Research Group, School of Telecommunications Engineering, TSCIT Department, University of Valladolid, Valladolid, Spain.
María Ángeles Pérez-JuárezData Engineering Research Group, School of Telecommunications Engineering, TSCIT Department, University of Valladolid, Valladolid, Spain.
Carlos BaladrónCardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Julio Peral-OliveiraCardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Ignacio J Amat-SantosCardiology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Universidad de Valladolid · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESHospital Clínico Universitario de Valladolid · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed reality opens interesting possibilities as it allows physicians to interact with both, the real physical and the virtual computer-generated environment and objects, in a powerful way. A mixed reality system, based in the HoloLens 2 glasses, has been developed to assist cardiologists in a quite complex interventional procedure: the ultrasound-guided femoral arterial cannulations, during real-time practice in interventional cardiology. The system is divided into two modules, the transmitter module, responsible for sending medical images to HoloLens 2 glasses, and the receiver module, hosted in the HoloLens 2, which renders those medical images, allowing the practitioner to watch and manage them in a 3D environment. The system has been successfully used, between November 2021 and August 2022, in up to 9 interventions by 2 different practitioners, in a large public hospital in central Spain. The practitioners using the system confirmed it as easy to use, reliable, real-time, reachable, and cost-effective, allowing a reduction of operating times, a better control of typical errors associated to the interventional procedure, and opening the possibility to use the medical imagery produced in ubiquitous e-learning. These strengths and opportunities were only nuanced by the risk of potential medical complications emerging from system malfunction or operator errors when using the system (e.g., unexpected momentary lag). In summary, the proposed system can be taken as a realistic proof of concept of how mixed reality technologies can support practitioners when performing interventional and surgical procedures during real-time daily practice.

Indexed as

CannulationFemoral arterialHoloLens glassesInterventional cardiologyMixed realityPuncture

Identifiers

PMID37927377
PMCPMC10620372
OpenAlexW4386560878

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.