Correlation between implant angulation and crestal bone changes: A 5-year retrospective study.

J Prosthet Dent

Associate Professor, Department of Prosthodontics, School of Dentistry, Kyung Hee University, Seoul, Republic of Korea. Electronic address:

Published: January 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Statement Of Problem: The effects of nonaxial forces on peri-implant bone loss have been investigated, mostly in reference to buccal mesiodistal implant angulations as potential risk indicators. However, when implant angulations are multidirectional, including the buccolingual aspect, evaluations of peri-implant bone loss based solely on mesiodistal measurements may skew the correlation.

Purpose: The purpose of this retrospective study was to evaluate the correlation between the magnitudes of multidirectional implant angulations and peri-implant crestal bone loss.

Material And Methods: Data were retrospectively collected and analyzed from clinical records, periapical radiographic images, and computer-aided design (CAD) files of custom abutments. The study included 288 patients with 506 dental implants, and the mean follow-up duration after the placement of definitive prostheses was 5.1 years. Patients with uncontrolled systemic disease were excluded. Variables such as age, sex, type of unit (single-unit or multi-unit), location (maxillary or mandibular and anterior, premolar, or molar), and antagonist (natural tooth, implant-supported prosthesis, or removable prosthesis) were evaluated. The angulation of the implant (mesiodistal and buccolingual) and status of attrition (normal, localized, or generalized) were assessed using the CAD file. The angulation of the implant was then derived from the mesiodistal and buccolingual angle measurements by using a mathematical formula. Peri-implant bone loss was measured from periapical radiographs. A comparison of peri-implant bone loss between axial and nonaxial implants was performed using the Student t test (α=.05). Additional comparative evaluations were performed according to the type of unit, location, antagonist, and status of attrition in reference to the angulation categories.

Results: The mean ±standard deviation peri-implant bone loss over 5 years was 0.10 ±0.39 mm in the axial implants and 0.22 ±0.48 mm in the nonaxial implants. Statistical analysis showed that nonaxial implants had a significantly greater bone loss (P<.05), which was more pronounced when the antagonists were implant-supported prostheses (P<.05) and when the implants were located in the mandible (P<.05).

Conclusions: A significant correlation was observed between implant angulation and peri-implant bone loss. Nonaxially positioned implants exhibited greater bone loss compared with axially positioned implants. Additionally, the location of the implant and the type of antagonist were found to influence the extent of bone loss. These findings suggest that careful consideration of implant angulation, as well as the position and type of antagonist, is crucial in minimizing peri-implant bone loss.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.prosdent.2024.09.015DOI Listing

Publication Analysis

Top Keywords

bone loss
24
peri-implant bone
20
implant angulations
12
nonaxial implants
12
bone
8
crestal bone
8
retrospective study
8
type unit
8
angulation implant
8
mesiodistal buccolingual
8

Similar Publications

Background: Pelvic and acetabular fractures, often resulting from high-impact trauma, pose significant challenges due to extensive blood loss and complex surgical procedures. Tranexamic acid (TXA), widely used in elective orthopedic surgeries, offers a potential strategy for managing blood loss. However, its efficacy and safety in pelvic-acetabular trauma surgeries have shown inconsistent results in prior studies.

View Article and Find Full Text PDF

Glenohumeral instability is a common injury affecting contact and collision athletes. Male sex, younger age at time of first dislocation, and contact sports participation are risk factors for recurrent instability. MRI is the gold standard to evaluate soft tissue structures, while CT is beneficial in quantifying glenoid bone loss and identifying on-track and off-track Hill-Sachs lesions.

View Article and Find Full Text PDF

Diatom-Inspired Scaffold for Infected Bone Defect Therapy: Achieving Stable Photothermal Properties and Coordinated Antibacterial-Osteogenic Functions.

Adv Mater

September 2025

State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.

Bone defect therapy frequently encounters bacterial infections and chronic inflammation, which impair bone regeneration and threaten implant stability. Iron oxide nanoparticles have attracted attention due to cost-effectiveness, biocompatibility, and metabolic safety. However, iron oxide nanoparticles still struggle to balance low-temperature efficient antibacterial activity, effective immunomodulation, and bone regeneration.

View Article and Find Full Text PDF

Background: Anticonvulsants are widely used in treating patients with mental and neurological disorders. Their long-term use increases the risk of a decrease in bone mineral density (BMD) and low-energy fractures. Despite the growing number of studies of drug-induced osteoporosis, the effect of anticonvulsants on bone microarchitecture remains poorly studied.

View Article and Find Full Text PDF

Hybrid two-stage CNN for detection and staging of periodontitis on panoramic radiographs.

J Oral Biol Craniofac Res

August 2025

Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.

Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.

View Article and Find Full Text PDF