This systematic review and meta-analysis studied the clinical outcomes with physics forceps compared to those with conventional forceps for closed dental extraction. A systematic literature search was performed to identify all the published randomized clinical trials that compared the relevant clinical outcomes with physics forceps to those with conventional forceps for closed dental extraction. A total of 11 studies were included. The adverse events were significantly lower with physics forceps ( = 48) compared to with conventional forceps ( = 120), with an odds ratio of 0.42 [0.25, 0.70], Z = 3.78 ( = 0.0002), and I = 21%. There were statistically significant differences in the incidence of GL ( = 0.04), and tooth or root fracture ( = 0.0009). Operating time was significantly lower in physics forceps than that of conventional forceps, mean difference (-20.13 (-30.11, -10.15)), Z = 3.78 ( = 0.0001), I = 79%. The available evidence is limited by a high risk of bias and low evidence certainty. Based on the current evidence, physics forceps might be better than the conventional extraction forceps in terms of the extraction duration, pain after extraction, trauma to both hard and soft tissue, and complications. Physics forceps are newer instruments that have not yet been introduced in the teaching of dental graduates. The introduction of physics forceps can be time saving, less invasive and reduce post-extraction complications.
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http://dx.doi.org/10.3390/dj10020021 | DOI Listing |
Biomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFPLoS One
December 2024
Department of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands.
The demographic shift has increased the demand for surgical interventions to address age-related degenerative diseases, such as spinal fusion. Accurate placement of pedicle screws, crucial for successful spinal fusion, varies widely with physician experience. Integrating tissue sensing into spine surgical instruments allows intraoperative examination of tissue properties, providing surgeons with additional information to prevent screw misplacement.
View Article and Find Full Text PDFActa Biomater
December 2024
Institute of Biomechanics, Graz University of Technology, Austria; Department of Structural Engineering, NTNU, Norway. Electronic address:
During gastric surgery, the stomach wall is compressed with clamps and sutures or staple lines. These short- and long-term deformations can severely compromise the integrity of the tissue and make it difficult for the stomach wall to respond and remodel to the new loading conditions. Consequently, serious intra- and postoperative complications such as the formation of leaks during bariatric surgeries, can be associated with these immense tissue deformations.
View Article and Find Full Text PDFCureus
November 2024
Department of Surgery, Baghdad Teaching Hospital, Medical City Complex, Baghdad, IRQ.
Long surgical instruments, particularly in brain endoscopy, often compromise precision and control due to the physical distance between the surgeon's hand and the instrument's tip, increasing the likelihood of tremors. Various technological solutions, including robotics, have been proposed to address this issue. This report outlines the development of a pseudo-perception system aimed at improving control over long instruments in neurosurgical procedures by manipulating visual feedback to enhance the surgeon's sense of proximity to the instrument's tip.
View Article and Find Full Text PDFNeurosurg Focus
December 2024
2Department of Neurological Surgery, University of California, San Francisco, California.
Objective: Most robots currently used in neurosurgery aid surgeons in placing spinal hardware and guiding electrodes and biopsy probes toward brain targets. These robots are inflexible, cannot turn corners, and exert excessive force when dissecting and retracting brain tissue, limiting their applicability in cranial base surgery. In this study, the authors present a novel soft-pouch robot prototype driven by compressed air and capable of gentle tissue manipulation.
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