Evidence map›Paper›PMID 40506562›Full record

ArticleInsights into imaging2025

Problem-based learning in radiology achieves similar results in classroom and metaverse settings.

Teodoro Rudolphi-Solero, Fernando Bajos-Ariza, Rocío Lorenzo-Álvarez, Dolores Domínguez-Pinos, Miguel José Ruiz-Gómez, Francisco Sendra-Portero

Abstract read
In one paragraph

Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Teodoro Rudolphi-SoleroDepartment of Radiology and Physical Medicine, Facultad de Medicina-Universidad de Málaga, Bvd. Luis Pasteur, 32, 20071, Málaga, Spain.
Fernando Bajos-ArizaPrimary Care Unit-Centro de Salud Doctor Trueta, Avenida de los Fraguas, 8, 28921, Alcorcón, Spain.
Rocío Lorenzo-ÁlvarezDepartment of Emergency and Intensive Care, Hospital de la Axarquía, Avenida del Sol, 43, 29740, Vélez-Málaga, Spain.
Dolores Domínguez-PinosDepartment of Radiology and Physical Medicine, Facultad de Medicina-Universidad de Málaga, Bvd. Luis Pasteur, 32, 20071, Málaga, Spain.
Miguel José Ruiz-GómezDepartment of Radiology and Physical Medicine, Facultad de Medicina-Universidad de Málaga, Bvd. Luis Pasteur, 32, 20071, Málaga, Spain.
Francisco Sendra-PorteroDepartment of Radiology and Physical Medicine, Facultad de Medicina-Universidad de Málaga, Bvd. Luis Pasteur, 32, 20071, Málaga, Spain. sendra@uma.es.ORCID http://orcid.org/0000-0001-9535-9806

Funding

Universidad de Málaga PIE19-217 and PIE22-045. Funding for open access charge: Universidad de Málaga / CBUA.
6 · The paper itself

Abstract

objectivesThe metaverse (MV) is a simulated virtual world enabling simultaneous interaction and communication between students, teachers, and colleagues. This study compared a problem-based learning experience in radiology conducted face-to-face in real life (RL) and within the MV.

methodsDuring a radiology clinical rotation, groups of approximately 25 sixth-year medical students participated over 2 years in real life and 2 years in the MV. Each group was divided into eight teams of 3-4 students, each assigned a radiological clinical case for study, presentation, and debate with classmates. Students evaluated other teams, assessed case difficulty, and completed a perception questionnaire.

resultsA total of 348 students participated in the real-life group and 342 in the MV group, with average teacher evaluation scores of 8.11 ± 1.15 and 7.97 ± 1.54, respectively, showing no significant differences (p = 0.883). No significant differences were found in peer evaluations or case difficulty assessments. Both groups reported positive experiences, with overall satisfaction scores out of 10 points being 7.91 ± 1.32 for RL and 7.54 ± 1.87 for the MV, without significant differences (p = 0.073).

conclusionsProblem-based learning activities in radiology can be effectively conducted in the MV, yielding academic results and experiential perceptions comparable to RL. The MV presents a viable alternative to face-to-face learning when in-person problem-based learning activities are impractical or challenging. CRITICAL RELEVANCE STATEMENT: This study highlights the potential of the metaverse for effectively conducting radiology problem-based learning activities. It provides evidence for its viability as an alternative educational tool, particularly when face-to-face learning is not feasible. KEY POINTS: Radiology problem-based learning in the metaverse achieved academic results comparable to traditional real-life classroom settings. The metaverse offers unique learning advantages, including remote access, 24/7 availability, and teamwork opportunities. The metaverse provides an excellent problem-based learning alternative when in-person activities are impractical or impossible.

Indexed as

e-learningMedical studentsProblem-based learningRadiology educationVirtual world

Identifiers

PMID40506562
PMCPMC12162394

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.