Evidence map›Paper›PMID 40153208›Full record

ReviewLa Radiologia medica2025

Current applications and future perspectives of extended reality in radiology.

Mario Tortora, Andre Luppi, Francesco Pacchiano, Mariagrazia Marisei, Francesca Grassi, Heron Werner, Felipe Campos Kitamura, Fabio Tortora, Ferdinando Caranci, Suely Fazio Ferraciolli

Abstract readReview
In one paragraph

Review in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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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

10 authors.

Mario TortoraDepartment of Advanced Biomedical Sciences, University "Federico II", Naples, Italy. mario.tortora@unina.it.ORCID http://orcid.org/0000-0002-4745-3061
Andre LuppiDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Francesco PacchianoDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Caserta, Italy.
Mariagrazia MariseiDepartment of Advanced Biomedical Sciences, University "Federico II", Naples, Italy.
Francesca GrassiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Caserta, Italy.
Heron WernerDepartment of Fetal Medicine, Biodesign Laboratory DASA/PUC, Rio de Janeiro Pontifical Catholic University, Rio de Janeiro, Brazil.
Felipe Campos KitamuraDiagnósticos da América SA (DASA), Universidade Federal de São Paulo, São Paulo, Brazil.
Fabio TortoraDepartment of Advanced Biomedical Sciences, University "Federico II", Naples, Italy.
Ferdinando CaranciDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Caserta, Italy.
Suely Fazio FerraciolliDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended reality (XR) technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), hold transformative potential for radiology. This review examines the current applications, benefits, limitations, and future prospects of XR in radiology, with a focus on education, diagnostics, interventional procedures, and patient interaction. A comprehensive literature search of PubMed, Scopus, and Web of Science databases identified relevant publications from 1992 to 2024. Key studies were selected for detailed discussion. XR technologies enhance radiology education by offering immersive learning experiences that improve the proficiency and confidence of professionals. In diagnostics, XR improves the accuracy and efficiency of ultrasound and CT imaging and aids in precise patient positioning. For interventional radiology, XR provides valuable tools for training and real-time procedural planning, leading to better patient outcomes. Additionally, XR improves patient-doctor interactions, reducing anxiety and enhancing the consent process. Despite challenges such as high costs, technical limitations, and the need for extensive clinical validation, the potential benefits of XR underscore its value as a significant tool in radiology. Addressing these challenges will be essential for the widespread adoption and integration of XR in radiology, ensuring its potential benefits are fully realized. This review highlights the transformative impact of XR technologies on radiology, emphasizing the need for further research and development to harness their full capabilities and improve patient care.

Indexed as

Augmented RealityRadiologyVirtual RealityForecastingHumansAugmented realityEthical-legal issuesExtended realityMixed realityRadiologyVirtual reality

Identifiers

PMID40153208
PMCPMC12185561

What OpenQuestion holds

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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.