The aim was to compare the degree of microbial contamination of autogenous bone collected by a bone filter with that of autogenous bone harvested by a rongeur during implant surgery. Thirty healthy patients had dental implants inserted. A strict aspiration protocol was used during the operation to collect particulate bone with minimal risk of contamination by oral flora. A fragment of bone (mainly from the tuberosity) was also harvested with a rongeur. Samples from both groups were sent to the laboratory for the microbes to be counted. All samples yielded viable micro-organisms. There was no significant difference between the number of aerobes in the bone filter and those in the bone fragment group (p=0.9). However, there were significantly more anaerobes in the bone filter group than in the bone fragment group. There were significantly more micro-organisms (both aerobes and anaerobes) in the bone filter group than the bone fragment group (p=0.0001). Even with the use of a stringent aspiration protocol the degree of bacterial contamination was significantly higher in collected bone debris than in bone harvested by rongeur during implant surgery.
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http://dx.doi.org/10.1016/j.bjoms.2010.08.003 | DOI Listing |
Cureus
December 2024
Department of Hematology, Hamad Medical Corporation, Doha, QAT.
This study conducts a bibliometric analysis (BA) to map the research landscape surrounding chronic kidney disease (CKD) and iron overload over the past decade. Utilizing PubMed as the primary database, a systematic search strategy was developed using BA guidelines, incorporating keyword and MeSH term refinements for comprehensive data retrieval. A Boolean operator-based search strategy was applied, capturing literature from 2014 to the first quarter of 2024, with inclusion criteria focusing on articles and review articles published in English.
View Article and Find Full Text PDFAnn Biomed Eng
January 2025
Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, CCIT216, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Purpose: Simulation studies, such as finite element (FE) modeling, offer insights into knee joint biomechanics, which may not be achieved through experimental methods without direct involvement of patients. While generic FE models have been used to predict tissue biomechanics, they overlook variations in population-specific geometry, loading, and material properties. In contrast, subject-specific models account for these factors, delivering enhanced predictive precision but requiring significant effort and time for development.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan; Institute of NanoEngineering and Microsystems, National Tsing Hua University, Hsinchu, Taiwan. Electronic address:
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint damage and progressive destruction of adjacent cartilage and bones. Quick and accurate detection of rheumatoid factors (RF) and anti-cyclic citrullinated peptide antibodies (anti-CCP) in serum is effective in diagnosing RA and preventing its progression. However, current methods for detecting these two biomarkers are costly, time-consuming, labor-intensive, and require specialized equipment.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Nuclear Medicine and Medical Physics, Karolinska University Hospital, Stockholm, Sweden.
Background: Modern reconstruction algorithms for computed tomography (CT) can exhibit nonlinear properties, including non-stationarity of noise and contrast dependence of both noise and spatial resolution. Model observers have been recommended as a tool for the task-based assessment of image quality (Samei E et al., Med Phys.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Resident of Oral and Maxillofacial Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Early detection of peri-implant bone defects can improve long-term durability of dental implants. By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects.
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