Evidence map›Paper›PMID 42668346›Full record

ArticleInsights into imaging2026

ANATOMIADI: a national, image-based anatomy competition for residents in Italy to enhance postgraduate education through interactive learning.

Carlo Cosimo Quattrocchi, Marinella Neri, Monica Antolini, Alessio Apollonio, Andrea Casula, Flora De Rosa, Veronica Domestico, Marianna Fusina, Paolo Giorgini, Giuseppe Greco and 4 more

Abstract read
In one paragraph

Article in Insights into imaging, 2026. 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
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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.

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

14 authors.

Carlo Cosimo QuattrocchiCentre for Medical Sciences, University of Trento, Trento, Italy. carlo.quattrocchi@unitn.it.ORCID http://orcid.org/0000-0001-6823-7707
Marinella NeriDepartment of Radiological Sciences and Medical Imaging, ASUIT, Rovereto (Trento), Italy.
Monica AntoliniCentre for Medical Sciences, University of Trento, Trento, Italy.
Alessio ApollonioRJC Soft S.r.l., Pisa, Italy.
Andrea CasulaRJC Soft S.r.l., Pisa, Italy.
Flora De RosaCentre for Medical Sciences, University of Trento, Trento, Italy.
Veronica DomesticoRJC Soft S.r.l., Pisa, Italy.
Marianna FusinaCentre for Medical Sciences, University of Trento, Trento, Italy.
Paolo GiorginiDepartment of Information Engineering and Computer Science, University of Trento, Trento, Italy.
Giuseppe GrecoCentre for Medical Sciences, University of Trento, Trento, Italy.
Daniel RaimiCentre for Medical Sciences, University of Trento, Trento, Italy.
Fabrizio SanninoCentre for Medical Sciences, University of Trento, Trento, Italy.
Daniele VoCentre for Medical Sciences, University of Trento, Trento, Italy.
Andrea FalzoneDepartment of Radiological Sciences and Medical Imaging, ASUIT, Rovereto (Trento), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor radiology residents, the steep learning curve of cross-sectional anatomy (especially in CT and MRI) demands more efficient and engaging educational tools. In recent years, game-based learning (GBL) and gamification have emerged as powerful strategies to enhance postgraduate education by leveraging 'active recall' and 'spaced repetition' within a competitive framework. Here we describe the context of ANATOMIADI and assess the perceived educational impact. MATERIALS AND

methodsImage datasets were anonymized, archived, and manually labeled to highlight specific anatomical structures. Over 400 unique games were developed, categorized by anatomical system and tiered into three levels of difficulty. A structured feedback survey was designed and distributed to the participants after the event to capture data on different domains regarding the educational value, gamification and engagement, platform usability and team collaboration, technical workflow, logistics, scientific accuracy, fairness, and quality assessment.

resultsANATOMIADI challenge registered an attendance of 141 participants representing 28 residency programs across Italy. The evaluation of the event's perceived value yielded a unanimous positive response; indeed, 100% of the participants recommended that the competition be repeated in future academic years. Based on the required level of knowledge, the event was recommended to residents in their 3rd (54/63 responses) and 4th year (48/63 responses) of postgraduate education.

conclusionBy integrating high-fidelity imaging with interactive game mechanics, the ANATOMIADI challenge not only fostered anatomical learning but also built the foundation for a more collaborative and technologically adept generation of radiologists. KEY POINTS: Question: In the era of high-resolution multidetector CT and advanced MRI, the volume of anatomical data that a resident in radiology must process is unprecedented.

findingsWe developed a context using image-based puzzle games to challenge different residency schools in radiology on imaging-based anatomical structures and rules. Critical relevance statement: ANATOMIADI is the first national competition based on radiological anatomy and dedicated to residents. By using an inclusive "twinning" framework among residency programs, it transforms dense theoretical study into a highly motivating, collaborative, and social learning experience.

Indexed as

Diagnostic imagingEducationGamificationLearningTeaching

Identifiers

PMID42668346
PMCPMC13525974

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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.