Evidence map›Paper›PMID 42053864›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Augmented reality for intraoperative verification of surgical template placement.

Gabriele Vanni, Francesco Simi, Marina Carbone, Paolo Domenico Parchi, Vincenzo Ferrari

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gabriele VanniDepartment of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy. gabriele.vanni@ing.unipi.it.ORCID http://orcid.org/0009-0007-5244-3144
Francesco SimiDepartment of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy.
Marina CarboneDepartment of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy.
Paolo Domenico ParchiEndoCAS Interdepartmental Center for Computer Assisted Surgery, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Vincenzo FerrariDepartment of Information Engineering, University of Pisa, Via G. Caruso 16, 56122, Pisa, Italy.

Funding

European Union (Next Generation EU) ECS00000017Italian Ministry of Education and Research (MUR) FoReLab and CrossLab (Departments of Excellence)
6 · The paper itself

Abstract

purposePatient-specific templates (STs) are widely adopted to guide drilling and cutting in orthopaedic procedures. Their intraoperative placement typically relies on visual and tactile assessment, without feedback on positioning accuracy. This work proposes a minimal, low-cost augmented reality (AR) method for intraoperative verification of template placement, designed for the brief and constrained nature of this task.

methodsA miniature camera is rigidly mounted on the surgical template and preoperatively calibrated. During placement, live images are augmented with virtual renderings of the patient's bone model, generated from preoperative CT/MR data and displayed from the same fixed viewpoint. Correct alignment occurs only when the template reaches its planned pose, without requiring tracking systems, registration procedures, or head-mounted displays. Template placement was evaluated on a patient-specific phantom by thirteen participants, with and without AR guidance. Feasibility was further assessed through ex vivo tests on animal tissue involving seven users.

resultsIn phantom experiments, AR guidance was associated with improved placement accuracy (mean error 2.23 mm vs. 3.62 mm without AR, p = 0.0093). In ex vivo trials, all AR-guided osteotomy lines remained within ±2 mm of the planned trajectory suggesting experimental feasibility. However, the difference between conditions did not reach statistical significance.

conclusionCurrent literature lacks simple, inexpensive, and workflow-compatible methods for verifying the placement of surgical templates. The proposed approach may provide a simple method for intraoperative visual feedback without tracking hardware or complex AR systems, potentially supporting more consistent template positioning. However, its effectiveness may depend on surgical exposure and anatomical context.

Indexed as

Augmented realityComputer-assisted surgeryIntraoperative verificationOrthopaedic surgerySurgical templates

Identifiers

PMID42053864

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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.