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Purpose: This meta-analysis compares prominent robotic platforms for spinal surgery, using conventional (freehand or fluoroscopy) and non-robotic navigation as common controls.
Methods: Literature searches were conducted using MEDLINE and EMBASE databases. Studies comparing screw placement of robot-assisted surgery with freehand/fluoroscopic or non-robotic navigation were included. Standard pairwise and network meta-analysis techniques with a random effects model (REM) were used with significance set at P < 0.05. Primary objective was to compare screw placement accuracy and breach incidence across robot platforms. Secondary objective was to compare neurologic complication (NC) rate and blood loss (BL) among platforms.
Results: A total of 27 studies totaling 3404 patients were included. The robotic group demonstrated significantly fewer breaches compared to the conventional group (OR 0.54, P = 0.0004). The TiRobot (TINAVI) and Renaissance (Mazor) demonstrated the best overall accuracy. The robotic group demonstrated significantly lower NC (OR 0.3, P = 0.02) and lower BL (MD: - 112.74 mL, P = 0.002) compared to the conventional approach (freehand or fluoroscopy). Potential conflicts of interest and source bias were found in 60% of TiRobot and 30% of SpineAssist studies. Robotic surgery had significantly lower major breach rates compared to non-robotic navigation (OR 0.39, P = 0.04). The Mazor X model was superior between all robotic platforms, with an OR of 0.15 (95% CrI 0.01 to 0.69, P < 0.00001, I = 0%) for major breaches compared to non-robotic navigation.
Conclusion: Robot-assisted navigation platforms show significant reduction in breach rates compared to conventional and non-robotic navigation approaches in adult spinal instrumentation surgery. MazorX (Mazor), TiRobot (TINAVI) and Renaissance (Mazor) emerge as leaders in robotic spine surgery, each contributing to the increase efficacy. To obtain a more reliable evidence base guiding clinical practice and decision-making on the safety, efficacy, and superiority of specific robot-assisted navigation platforms in spinal surgery, further unbiased RCTs with international collaborations are needed.
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http://dx.doi.org/10.1007/s00586-025-08990-y | DOI Listing |
Hernia
September 2025
Center for Perioperative Optimization, Department of Surgery, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, Herlev, DK-2730, Denmark.
Purpose: Primary ventral hernia repair is a common elective procedure; however, mesh placement practices vary widely, and there is limited evidence to guide optimal placement. This international study examined surgeons' preferences and considerations regarding mesh placement in elective primary ventral hernia repair.
Methods: We conducted an international cross-sectional survey targeting surgeons experienced in primary ventral hernia repair.
Knee Surg Sports Traumatol Arthrosc
September 2025
Çankaya Hospital for Orthopedic Care, Ankara, Turkey.
Purpose: The aim of this study was to evaluate the impact of reduced spinopelvic mobility (SM) on knee flexion deformity (KFD) in patients undergoing total knee arthroplasty (TKA).
Methods: A retrospective analysis on 213 patients (271 knees) undergoing robotic-assisted primary TKA was conducted. Sagittal spinopelvic alignment (SSA) parameters-sacral slope (SS), pelvic incidence (PI), and pelvic tilt (PT)-were measured on lateral standing and sitting spinopelvic radiographs.
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 PDFJTCVS Open
August 2025
Division of Thoracic Surgery, Department of Surgery, Tufts Medical Center, Boston, Mass.
Objective: Current evaluation of robotic surgeon proficiency relies on subjective assessment. The robotic platform collects highly granular kinematic data on surgeon activity, known as objective performance indicators (OPIs). We sought to compare surgeon proficiency during lobectomies across training levels using OPIs.
View Article and Find Full Text PDFFront Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.