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Updated: May 1, 2026

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

Qais Adawi1,2, Hila Meiri1, Assaf Yoschpe2

  • 1Division of Surgery, Surgical Oncology Unit, Sheba Medical Center, Affiliated with Tel Aviv University, Ramat-Gan, Israel.

Journal of Surgical Oncology
|April 30, 2026
PubMed
Summary

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Augmented reality (AR) 3D models show promise for improving sentinel lymph node biopsy (SLNB) localization in melanoma patients. This pilot study found the AR approach feasible and safe, with nearly half of cases showing accuracy within 10mm of gamma probe detection.

Area of Science:

  • Oncology
  • Surgical Innovation
  • Medical Imaging

Background:

  • Sentinel lymph node biopsy (SLNB) is crucial for staging high-risk melanoma.
  • Current SLNB mapping lacks precise spatial guidance, necessitating improved localization techniques.
  • Augmented reality (AR) offers potential for enhanced visualization in surgical procedures.

Purpose of the Study:

  • To evaluate the feasibility and safety of AR-projected 3D models for SLNB localization in melanoma.
  • To compare the accuracy of AR-guided localization with traditional gamma probe methods.
  • To assess the potential of AR to improve spatial guidance during SLNB.

Main Methods:

  • A prospective pilot study involving 10 melanoma patients undergoing SLNB.
  • Patient-specific 3D models were generated from preoperative SPECT/CT lymphoscintigraphy.

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  • 3D models were projected onto patients using an AR headset prior to incision for localization.

    • Main Results:

    • AR model generation and intraoperative projection were successful in all patients.
    • The median deviation between AR3D and gamma probe localization was 12mm (range 0-40mm).
    • 43% of cases achieved AR localization within 10mm of gamma probe detection; no AR-related complications occurred.

    Conclusions:

    • AR-based 3D modeling is a feasible and safe adjunct for SLNB localization in melanoma.
    • The technique demonstrated potential for improved localization accuracy, though variability exists.
    • Further refinement and evaluation in larger, multicenter trials are warranted.