Evidence map›Paper›PMID 42661930›Full record

ArticleHealth science reports2026

Study Protocol for Assessment of the Feasibility of an Intraoperative Localization Technique Using Augmented Reality in Breast-Conserving Surgery for Non-Palpable Cancer Lesions: A Feasibility Study.

Alexia Giro, Judith Passildas, Emilie Thivat, Ioana Molnar, Céleste Pinard, Wissam Marraoui, Adrien Bartoli, Rasoul Sharifian, Nicolas Bourdel, Catherine Abrial and 3 more

Abstract read
In one paragraph

Article in Health science reports, 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

13 authors.

Alexia GiroDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Judith PassildasDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.ORCID https://orcid.org/0000-0002-3575-7260
Emilie ThivatDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Ioana MolnarDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Céleste PinardDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Wissam MarraouiSenology Unit, Centre Jean PERRIN Clermont-Ferrand France.
Adrien BartoliDepartment of Clinical Research and Innovation Clermont-Ferrand University Hospital France.
Rasoul SharifianDepartment of Clinical Research and Innovation Clermont-Ferrand University Hospital France.
Nicolas BourdelEnCoV, Institut Pascal, UMR 6602 CNRS/Université Clermont-Auvergne Clermont-Ferrand France.
Catherine AbrialDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Christophe PomelSurgical Oncology Department Centre Jean Perrin Clermont-Ferrand France.
Xavier DurandoDivision de Recherche Clinique, Délégation Recherche Clinique & Innovation, Centre Jean Perrin Centre de Lutte contre le Cancer Clermont-Ferrand France.
Sabrina Madad-ZadehEnCoV, Institut Pascal, UMR 6602 CNRS/Université Clermont-Auvergne Clermont-Ferrand France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Localizing non-palpable cancerous lesions of breast-conserving surgery is a major challenge. Augmented reality (AR) and 3D imaging are emerging tools for surgical guidance. This study evaluates the feasibility of a noninvasive intraoperative localization technique using AR. Methods: This prospective, interventional, single-center proof-of-concept study investigates AR-assisted localization of non-palpable breast lesions. Secondary objectives include surgical time assessment, breast phantom development, and fusion feasibility between supine 3D breast MRI images and post-MRI ultrasound with target lesion detection. The study includes an additional MRI in supine position and intraoperative 3D images of the patient's chest captured with a 3D camera. A 3D reconstruction of the patient's chest and lesions will be performed from the MRI images, called the preoperative 3D model. A total of five patients eligible for assessment are expected. Conclusion: The challenge of this study is the development of a noninvasive intraoperative localization technique using AR from preoperative images in breast-conserving surgery. If this study is successful, a randomized trial will be designed to compare the accuracy of the intraoperative localization technique using AR with that of the gold standard intraoperative breast ultrasound.

Indexed as

augmented realitybreast cancerbreast‐conserving surgeryMRInon‐palpable lesions

Identifiers

PMID42661930
PMCPMC13519112

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.