Evidence map›Paper›PMID 42057335›Full record

ArticleJournal of surgical oncology2026

Augmented Reality Based 3D Modelling for Sentinel Lymph Node Localization in Cutaneous Melanoma: A Pilot Study.

Qais Adawi, Hila Meiri, Assaf Yoschpe, Ronnie Shapira, Shirly Grynberg, Jacob Schachter, Yael Eshet, Michal Eifer, Ido Nachmany, Douglas Zippel and 1 more

Abstract read
In one paragraph

Article in Journal of surgical oncology, 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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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

11 authors.

Qais AdawiDivision of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.
Hila MeiriDivision of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.
Assaf YoschpeThe Surgical Innovation Laboratory, ARC Innovation Center, Sheba Medical Center, Ramat-Gan, Israel.
Ronnie ShapiraElla Lemelbaum Institute of Immuno-Oncology and Melanoma, Sheba Medical Center, Ramat-Gan, Israel.
Shirly GrynbergElla Lemelbaum Institute of Immuno-Oncology and Melanoma, Sheba Medical Center, Ramat-Gan, Israel.
Jacob SchachterElla Lemelbaum Institute of Immuno-Oncology and Melanoma, Sheba Medical Center, Ramat-Gan, Israel.
Yael EshetDepartment of Nuclear Medicine, Sheba Medical Center, Ramat Gan, Israel.
Michal EiferDepartment of Nuclear Medicine, Sheba Medical Center, Ramat Gan, Israel.
Ido NachmanyDivision of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.
Douglas ZippelDivision of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.
Eyal MorDivision of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.ORCID https://orcid.org/0000-0002-3235-2946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSentinel lymph node biopsy (SLNB) is standard for staging high-risk melanoma, but current mapping provides limited spatial guidance. This pilot study assessed whether augmented reality (AR) projected 3D models can improve sentinel node localization compared with the gamma probe.

methodsIn this prospective study, 10 melanoma patients undergoing SLNB at Sheba Medical Center had preoperative sentinel lymphoscintigraphy using SPECT/CT imaging segmented to generate patient-specific 3D models. Models were projected onto the patient via an AR headset before incision. Localization accuracy was measured as the deviation (mm) between AR3D-identified and gamma probe-identified sentinel lymph node positions.

resultsTen patients were enrolled in this pilot study. The median age was 71 years (range 30-77). Primary tumor sites included upper limb (n = 5), trunk (n = 3), Lower Limb (n = 1), and Head and Neck (n = 1). The median Breslow thickness was 1.1 mm (range 0.8-24 mm), with ulceration in 2 cases. Model generation was successful in all patients, with each model projected onto the patient using the AR headset and evaluated by the surgeon prior to incision. The median deviation between AR3D model and the gamma probe localization was 12 mm (range 0-40 mm), with 43% of cases ≤ 10 mm. No AR-related complications occurred.

conclusionsAR-based 3D modelling was feasible and safe for SLNB localization in melanoma. Although accuracy varied, in nearly half of the cases, AR3D model was within 10 mm of the gamma probe detection. These preliminary results supported further refinement of the technique and evaluation in larger, multicenter trials.

Indexed as

Augmented RealityImaging, Three-DimensionalMelanomaSentinel Lymph NodeSentinel Lymph Node BiopsySkin NeoplasmsAdultAgedCutaneous Malignant MelanomaFemaleHumansLymphoscintigraphyMaleMiddle AgedPilot ProjectsProspective Studies

Identifiers

PMID42057335
PMCPMC13427102

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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.