ArticleSurgical endoscopy2018
Augmented reality in a tumor resection model.
Article in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Augmented Reality Implementation in Minimally Invasive Surgery for Future Application in Pulmonary Surgery: A Systematic Review.Surgical innovation · 2024Pooled it
- More than meets the eye: Augmented reality in surgical oncology.Journal of surgical oncology · 2024Pooled it
- The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.Sensors (Basel, Switzerland) · 2022Pooled it
- Development and validation of a cadaveric porcine Pseudotumor model for Oral Cancer biopsy and resection training.BMC medical education · 2024Trial
- Augmented Reality Integration in Surgery for Craniosynostoses: Advancing Precision in the Management of Craniofacial Deformities.Journal of clinical medicine · 2025Review
- Augmented reality for external ventricular drain placement: Model alignment and integration software.Surgical neurology international · 2025Article
- Article
- Augmented reality visualization of automated path planning for percutaneous interventions: a phantom study.International journal of computer assisted radiology and surgery · 2022Article
- Investigating uncertainty in augmented reality enhanced renal navigation using in vitro patient-specific tissue-mimicking phantoms.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022Article
- Augmented reality in laparoscopic liver resection evaluated on an ex-vivo animal model with pseudo-tumours.Surgical endoscopy · 2022Article
- SurgAI: deep learning for computerized laparoscopic image understanding in gynaecology.Surgical endoscopy · 2020Article
- Surgical Tracking, Registration, and Navigation Characterization for Image-guided Renal Interventions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Accuracy assessment for the co-registration between optical and VIVE head-mounted display tracking.International journal of computer assisted radiology and surgery · 2019Article
- Review
- Augmenting Microsoft's HoloLens with vuforia tracking for neuronavigation.Healthcare technology letters · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAugmented Reality (AR) guidance is a technology that allows a surgeon to see sub-surface structures, by overlaying pre-operative imaging data on a live laparoscopic video. Our objectives were to evaluate a state-of-the-art AR guidance system in a tumor surgical resection model, comparing the accuracy of the resection with and without the system. Our system has three phases. Phase 1: using the MRI images, the kidney's and pseudotumor's surfaces are segmented to construct a 3D model. Phase 2: the intra-operative 3D model of the kidney is computed. Phase 3: the pre-operative and intra-operative models are registered, and the laparoscopic view is augmented with the pre-operative data.
methodsWe performed a prospective experimental study on ex vivo porcine kidneys. Alginate was injected into the parenchyma to create pseudotumors measuring 4-10 mm. The kidneys were then analyzed by MRI. Next, the kidneys were placed into pelvictrainers, and the pseudotumors were laparoscopically resected. The AR guidance system allows the surgeon to see tumors and margins using classical laparoscopic instruments, and a classical screen. The resection margins were measured microscopically to evaluate the accuracy of resection.
resultsNinety tumors were segmented: 28 were used to optimize the AR software, and 62 were used to randomly compare surgical resection: 29 tumors were resected using AR and 33 without AR. The analysis of our pathological results showed 4 failures (tumor with positive margins) (13.8%) in the AR group, and 10 (30.3%) in the Non-AR group. There was no complete miss in the AR group, while there were 4 complete misses in the non-AR group. In total, 14 (42.4%) tumors were completely missed or had a positive margin in the non-AR group.
conclusionsOur AR system enhances the accuracy of surgical resection, particularly for small tumors. Crucial information such as resection margins and vascularization could also be displayed.
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Registered trials
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