ReviewGalen medical journal2025
Radiographic Evaluation of Implant Stability and Osseointegration in Adult Orthodontic Patients : Radiographic Evaluation of Implant Stability and Osseointegration.
Review in Galen medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Evaluation of the Effectiveness of the Socket Preservation Technique Using Allogeneic and Xenogeneic Materials: A Randomized Controlled Trial.Journal of functional biomaterials · 2026Article
- Oral implanomics: transitioning from experience-based discipline to AI-driven therapeutic paradigm - radiomics and artificial intelligence in oral implantology.Frontiers in oral health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiographic evaluation is essential for assessing implant stability and osseointegration in adult orthodontic patients. The success of temporary anchorage devices (TADs) and mini-implants depends on primary stability, achieved through mechanical engagement, and secondary stability, influenced by bone remodeling. While traditional clinical methods, such as mobility testing, provide subjective assessments, radiographic imaging offers objective insights into bone-implant interactions. Periapical and panoramic radiographs are commonly used but are limited by their two-dimensional (2D) nature. Cone beam computed tomography (CBCT) has emerged as the gold standard, providing three-dimensional (3D) visualization of cortical bone thickness, marginal bone loss, and peri-implant adaptations. However, challenges such as image artifacts, radiation exposure, and observer variability persist. Implant stability is influenced by factors like bone density, cortical thickness, insertion torque, and patient-specific variables, including systemic conditions, genetic predisposition, and lifestyle habits. Emerging techniques such as resonance frequency analysis (RFA) complement radiographic findings by providing quantitative stability assessments. Additionally, artificial intelligence (AI)-driven radiographic analysis is improving diagnostic accuracy, automating bone density evaluation, and predicting implant success. Future advancements in low-dose CBCT protocols, AI-assisted diagnostics, and digital treatment planning aim to optimize implant placement and long-term stability assessment. By integrating multimodal imaging approaches with biomechanical and AI-driven predictive modeling, clinicians can enhance treatment planning, reduce implant failure rates, and improve orthodontic outcomes. This review underscores the importance of advanced imaging techniques in implant stability assessment and highlights the need for continued research in AI-driven diagnostics and minimally invasive evaluation methods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.