This study proposes a method for measuring the volumetric change of alveolar bone after dental implant surgery using computed tomography (CT). A total of 40 implants in 20 patients (15 males and 5 females) were selected. The types of implants used were group 1: 24 CMI IS-II Active implants (Neobiotech Co., Seoul, Republic of Korea) and group 2: 16 SLActive Bone Level implants (Institut Straumann AG, Basel, Switzerland). The OnDemand3D software (CyberMed, Seoul, Korea) was used for analysis. The volumetric change of the alveolar bone around an implant fixture is measured as follows: (1) Establish two cylinders: the main cylinder with the implant axis as the central axis (radius of implant + 3 mm) and the error correction cylinder (radius of implant + 1 mm). (2) The height of the cylinder extended from the top of the fixture to a 3 mm coronal portion. (3) Calculate the volumetric change of the alveolar bone (Vd) by subtracting the volume of the error correction cylinder from the main cylinder between CT images taken immediately after the implant placement and 12 months later. After a one-year installation, the volumetric change of alveolar bone, ΔV (cc) had increased in both groups (group 1: -0.011 ± 0.015 cc, group 2: -0.012 ± 0.017 cc) with statistical significance ( < 0.05), and the difference between the groups was not statistically significant ( > 0.05). This three-dimensional assessment method would be a useful clinical reference for the assessment of marginal bone change after implant surgery.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230185 | PMC |
http://dx.doi.org/10.3390/jcm9041238 | DOI Listing |
Sci Rep
January 2025
Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
To assess the choroidal vessels in healthy eyes using a novel three-dimensional (3D) deep learning approach. In this cross-sectional retrospective study, swept-source OCT 6 × 6 mm scans on Plex Elite 9000 device were obtained. Automated segmentation of the choroidal layer was achieved using a deep-learning ResUNet model along with a volumetric smoothing approach.
View Article and Find Full Text PDFSci Rep
January 2025
School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.
To investigate the changes in the strength and deformation of the blast load-damaged sandstone roof plate under cyclic loading and unloading conditions at different confining pressures, a triaxial loading device was used to carry out graded cyclic unloading tests on specimens with different degrees of damage, and the test results were summarized. The effects of blast-load-induced damage, confining pressure and loading stage on the strength, cohesion, internal friction angle, residual strain and volumetric strain were analyzed. (1) Compared with that of the undamaged specimen at a confining pressure of 0 MPa, the peak stress reductions in the vibration-damaged and blast-damaged specimens were 4.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imperial College London, London, United Kingdom.
Background: Pathological alterations in Alzheimer's disease (AD) begin several years before the onset of symptoms. Grey matter mean diffusivity (MD) may be used as a measure of early grey matter damage in AD as it reflects the breakdown of microstructural barriers, which precede volumetric changes and affect cognitive function. In this study, we investigated the changes in MD early on in the disease trajectory, and relate them to the amyloid and tau deposition.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, NJ, USA.
Background: Early identification of preclinical Alzheimer's disease (AD) is key to timely interventions. However, existing neuropsychological test scores are not sensitive to subtle cognitive decline during preclinical AD. There is a need to develop cognitive measures that are more sensitive to early stages of decline.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California Irvine, Irvine, CA, USA.
Background: Alzheimer's disease exhibits heterogeneity through varied phenotypic and pathological manifestations. Here, we aimed to investigate the potential of semi-supervised pattern classification applied to volumetric MRI data in identifying relatively homogeneous subgroups of individuals exhibiting cognitive decline (CD) throughout the study period.
Method: We used data from the placebo arm of trial of Solanezumab for mild dementia due to AD (EXPEDITION-3 trial).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!