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Purpose: Image-guided navigation and robotic systems have been introduced in spinal surgery to increase the accuracy of pedicle screws placement and reduce the rate of complications. The objective of this study is to evaluate the different final screw deviation from pre-operative planning and the associated pedicle screw accuracy in spinal fusion surgery assisted by image-guided navigation or robotic systems.
Methods: The systematic literature search was executed using PubMed-Medline, Cochrane Central, and Scopus on 30 April 2023. Studies that explored the deviation between final position and preoperative planning of pedicle screws assisted by image-guide navigation or robotic system were included. The data extracted were surgical approach, surgical aid, number of screws evaluated, spinal levels, accuracy and deviation of screws. The quality of the studies was assessed using the revised Cochrane risk-of-bias tool for randomized trials (RoB 2) or the methodological index for non-randomized studies (MINORS) score.
Results: This review included 15 studies, of which 5 used navigation and 10 robotic system. The studies involved 1487 patients, with the evaluation of a total of 7274 pedicle screws, with an assessment of planning and final position. The different methodologies to calculate the deviation include angular deviations in the axial and sagittal plane, 3D angular deviation, and tip and entry point deviation. Regarding screw accuracy, 98.15% of the screws were grade A or B, and 1.85% as category C or D.
Conclusion: Although preoperative planning allows the surgeon to plan the final position of the screw most appropriately, mild deviations from it do not seem to excessively influence the accuracy of the spinal fusion.
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http://dx.doi.org/10.1007/s00586-025-08822-z | DOI Listing |
J Robot Surg
September 2025
Department of CSE, United Institute of Technology, Coimbatore, India.
Adv Mater
September 2025
Departmant of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Microrobots are expected to push the boundaries of robotics by enabling navigation in confined and cluttered environments due to their sub-centimeter scale. However, most microrobots perform best only in the specific conditions for which they are designed and require complete redesign and fabrication to adapt to new tasks and environments. Here, fully 3D-printed modular microrobots capable of performing a broad range of tasks across diverse environments are introduced.
View Article and Find Full Text PDFAim: This study explores the evolving landscape of gastrectomy procedures in Japan, based on nationwide surveys conducted in 2014 and 2021. It highlights changes in surgical approaches, including a growing focus on minimally invasive and function-preserving procedures, as well as the increasing consideration of postoperative quality of life (QOL).
Methods: Two nationwide questionnaire surveys were conducted in 2014 and 2021, targeting members of the Japanese Society for Gastro-surgical Pathophysiology.
Med Biol Eng Comput
September 2025
Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, 300072, China.
Surgical instrument segmentation plays an important role in robotic autonomous surgical navigation systems as it can accurately locate surgical instruments and estimate their posture, which helps surgeons understand the position and orientation of the instruments. However, there are still some problems affecting segmentation accuracy, like insufficient attention to the edges and center of surgical instruments, insufficient usage of low-level feature details, etc. To address these issues, a lightweight network for surgical instrument segmentation in gastrointestinal (GI) endoscopy (GESur_Net) is proposed.
View Article and Find Full Text PDFJ Robot Surg
September 2025
Department of Orthopedic Surgery, Orthopedic and Rheumatology Institute, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH, A4144195, USA.
Robotic-assisted total joint arthroplasty (RA-TJA) is projected to account for 70% of all arthroplasties by 2030, yet its economic value and operational efficiency have yet to be thoroughly synthesized. While early literature emphasized technical precision, evolving payment models and implementation costs have shifted focus toward cost-effectiveness and workflow integration. To evaluate the economic and institutional viability of RA-TJA by synthesizing available evidence on capital costs, perioperative expenses, learning curves, throughput, and long-term adoption trends.
View Article and Find Full Text PDF