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Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
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Hyperaccuracy Three-Dimensional Model and Augmented Reality/Mixed Reality for Robot-Assisted Retroperitoneal Lymph

Markus Angerer1, Mattis Franke1, Klaus-Peter Dieckmann1

  • 1Department of Urology, Asklepios Klinik Altona, Hamburg, Germany.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|June 17, 2026
PubMed
Summary
This summary is machine-generated.

Hyperaccuracy 3D models with augmented reality (AR) proved feasible for robot-assisted retroperitoneal lymph node dissection in testicular cancer, enhancing surgical planning and safety.

Keywords:
3D virtual modelaugmented realityprecision surgeryretroperitoneal lymph node dissectionrobotic surgerytesticular cancer

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Area of Science:

  • Urology
  • Surgical Oncology
  • Medical Imaging

Background:

  • Testicular cancer recurrence often requires retroperitoneal lymph node dissection.
  • Robot-assisted retroperitoneal lymph node dissection (R-RPLND) offers minimally invasive options.
  • Enhanced visualization tools are crucial for complex oncologic surgeries.

Purpose of the Study:

  • To assess the feasibility of using hyperaccuracy 3D (HA3D) virtual models with augmented reality (AR) in R-RPLND.
  • To evaluate the impact of HA3D-AR integration on surgical planning and execution for testicular cancer.
  • To determine the potential benefits for anatomical visualization and procedural safety.

Main Methods:

  • A patient-specific HA3D model was created from contrast-enhanced CT scans.
  • The HA3D model was integrated into preoperative planning and intraoperative AR navigation.
  • Unilateral template R-RPLND was performed on a 35-year-old male with seminoma recurrence.

Main Results:

  • HA3D modeling precisely identified a critical renal artery adjacent to the tumor, aiding safe dissection.
  • R-RPLND was completed in 76 minutes with minimal blood loss (30 mL) and no complications.
  • Pathology confirmed viable seminoma metastasis; 9-month follow-up showed no recurrence.

Conclusions:

  • This case demonstrates the successful integration of HA3D virtual models and AR in R-RPLND.
  • The technology shows potential for improving anatomical visualization, surgical planning, and safety in oncologic procedures.
  • Further multicenter prospective studies are required to confirm reproducibility and clinical benefits.