ArticleSurgical endoscopy2022
Robotically assisted augmented reality system for identification of targeted lymph nodes in laparoscopic gynecological surgery: a first step toward the identification of sentinel node : Augmented reality in gynecological surgery.
Article in Surgical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- The Use of Augmented Reality for Navigation in Minimally Invasive Abdominal and Thoracic Soft-Tissue Surgery: A Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- The Hugo™ RAS system in gynecologic robotic surgery: a systematic review of current applications.Journal of robotic surgery · 2025Pooled it
- More than meets the eye: Augmented reality in surgical oncology.Journal of surgical oncology · 2024Pooled it
- Robotic assisted versus laparoscopic surgery for deep endometriosis: a meta-analysis of current evidence.Journal of robotic surgery · 2024Pooled it
- Ultrasound-guided robotic surgical procedures: a systematic review.Surgical endoscopy · 2024Pooled it
- Computer-assisted and image-guided surgery for surgical lymph-nodal staging of gynecologic cancer in the era of digital and robotic surgery: a review of current evidence.EClinicalMedicine · 2026Review
- Early Concepts in CT Image-Guided Robotic Vascular Surgery: The Displacement of Retroperitoneal Structures During Simulated Procedures in a Cadaveric Model.Tomography (Ann Arbor, Mich.) · 2025Article
- Unveiling the real benefits of robot-assisted surgery in gynaecology: from telesurgery to image-guided surgery and artificial intelligence.Facts, views & vision in ObGyn · 2025Article
- Augmented Reality in Dentistry: Enhancing Precision in Clinical Procedures-A Systematic Review.Clinics and practice · 2024Review
- 3D versus 4K laparoscopic vaginal cuff closure after hysterectomy by surgeons in training: a prospective randomised trial.Facts, views & vision in ObGyn · 2024Article
- Identifying key predictors for uterine manipulator use in robotic simple hysterectomy: a retrospective cohort analysis.Frontiers in medicine · 2024Article
- Article
- The Role of Augmented Reality in the Advancement of Minimally Invasive Surgery Procedures: A Scoping Review.Bioengineering (Basel, Switzerland) · 2023Article
- Emerging trends in endoscopy and virtual reality from 1991 to 2024: A bibliometric analysis.Digital healthArticle
- Hidden Tumour Visualization in Augmented Monocular Liver Laparoscopy.Healthcare technology lettersArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo prove feasibility of multimodal and temporal fusion of laparoscopic images with preoperative computed tomography scans for a real-time in vivo-targeted lymph node (TLN) detection during minimally invasive pelvic lymphadenectomy and to validate and enable such guidance for safe and accurate sentinel lymph node dissection, including anatomical landmarks in an experimental model.
methodsA measurement campaign determined the most accurate tracking system (UR5-Cobot versus NDI Polaris). The subsequent interventions on two pigs consisted of an identification of artificial TLN and anatomical landmarks without and with augmented reality (AR) assistance. The AR overlay on target structures was quantitatively evaluated. The clinical relevance of our system was assessed via a questionnaire completed by experienced and trainee surgeons.
resultsAn AR-based robotic assistance system that performed real-time multimodal and temporal fusion of laparoscopic images with preoperative medical images was developed and tested. It enabled the detection of TLN and their surrounding anatomical structures during pelvic lymphadenectomy. Accuracy of the CT overlay was > 90%, with overflow rates < 6%. When comparing AR to direct vision, we found that scores were significatively higher in AR for all target structures. AR aided both experienced surgeons and trainees, whether it was for TLN, ureter, or vessel identification.
conclusionThis computer-assisted system was reliable, safe, and accurate, and the present achievements represent a first step toward a clinical study.
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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.