Evidence map›Paper›PMID 42883089›Full record

ReviewAnimals : an open access journal from MDPI2026

Extended Reality for Image-Guided Small Animal Surgery: Current Evidence, Clinical Applications, and Future Directions.

Domenico Caivano, Federica Valeri, Andrea Corda, Antonello Bufalari

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 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
–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

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

4 authors.

Domenico CaivanoDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0001-8540-4853
Federica ValeriDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0009-0005-7940-8416
Andrea CordaDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0002-9771-4143
Antonello BufalariDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0001-5073-6540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Image-guided surgery has become an integral component of modern veterinary surgery using advanced imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasonography, and fluoroscopy. Recently, extended reality (XR) technologies have emerged as promising tools to enhance image-guided surgical procedures by improving three-dimensional anatomical understanding, surgical navigation, and intraoperative decision-making. Although XR has gained considerable attention in human surgery, its application in veterinary surgery remains at an early stage. This narrative review aimed to provide a comprehensive overview of the current evidence regarding XR technologies in small animal surgery, with particular emphasis on their integration with preoperative and intraoperative imaging modalities. The available literature was reviewed to evaluate current clinical applications, technological developments and future perspectives. A literature search was performed in PubMed, Scopus, and Web of Science for studies published up to May 2026 using combinations of terms related to extended reality and small animal veterinary surgery. Original articles, case reports, pilot studies, technical reports, and reviews addressing clinical, experimental, or simulation-based applications were considered. Although several studies have explored the use of XR technologies for veterinary education, anatomical training, and diagnostic imaging instruction, relatively few investigations have assessed their direct application in clinical surgical practice. Potential applications have been described in orthopedic, oncologic, neurologic, cardiovascular, and minimally invasive procedures. Crucially, the currently available peer-reviewed evidence is restricted to canine patients, as no eligible feline studies were identified. Current evidence suggests that XR is an emerging technology with potential applications in canine surgical planning, image-guided procedures, and surgical training. Further prospective clinical studies are required to establish its clinical effectiveness, cost-effectiveness, and impact on surgical outcomes.

Indexed as

augmented realitycaninemixed realitysectional imagingveterinary surgeryvirtual reality

Identifiers

PMID42883089
PMCPMC13663551

What OpenQuestion holds

Textmetadata
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.