ArticleInternational journal of computer assisted radiology and surgery2019
Video-based computer navigation in knee arthroscopy for patient-specific ACL reconstruction.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Superior accuracy of femoral bone tunnel drilling in robot-assisted anterior cruciate ligament reconstruction: a multicenter, randomized, controlled trial.International journal of surgery (London, England) · 2025Trial
- Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance.Bioengineering (Basel, Switzerland) · 2025Article
- Surgical Robots Improve Tunnel Angle and Graft Bending Angle in Anatomic ACL Reconstruction: A Multicenter Study.Bioengineering (Basel, Switzerland) · 2025Article
- Application progress of artificial intelligence and augmented reality in orthopaedic arthroscopy surgery.Journal of orthopaedic surgery and research · 2023Review
- Investigation of the Importance of Knee Position during Femoral Tunnel Reaming; Figure 4 versus Hyperflexion.Malaysian orthopaedic journal · 2022Article
- Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery.Journal of imaging · 2022Article
- Influence of femoral tunnel exit on the 3D graft bending angle in anterior cruciate ligament reconstruction.Journal of experimental orthopaedics · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeThe anterior cruciate ligament tear is a common medical condition that is treated using arthroscopy by pulling a tissue graft through a tunnel opened with a drill. The correct anatomical position and orientation of this tunnel are crucial for knee stability, and drilling an adequate bone tunnel is the most technically challenging part of the procedure. This paper presents the first guidance system based solely on intra-operative video for guiding the drilling of the tunnel.
methodsOur solution uses small, easily recognizable visual markers that are attached to the bone and tools for estimating their relative pose. A recent registration algorithm is employed for aligning a pre-operative image of the patient's anatomy with a set of contours reconstructed by touching the bone surface with an instrumented tool.
resultsExperimental validation using ex-vivo data shows that the method enables the accurate registration of the pre-operative model with the bone, providing useful information for guiding the surgeon during the medical procedure. Experiments also demonstrate that the guided drilling of the tunnel leads to errors as low as 2.5 mm in the footprint and [Formula: see text] in orientation, which compares favourably to other works in the field.
conclusionThe high accuracy and short time overhead evinced by the experimental validation combined with no additional incisions or capital equipment make this video-based computer-aided arthroscopy solution an appealing alternative to the existing approaches.
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Registered trials
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