ArticleImaging science in dentistry2021
Cone-beam computed tomography artifacts in the presence of dental implants and associated factors: an integrative review.
Article in Imaging science in dentistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 29 citations in OpenAlex.
- Article
- Can a novice dentist, using a dynamic navigation system, achieve the accuracy of experts using freehand implant placement? a retrospective study.BMC oral health · 2026Article
- Comparative Analysis of Artifact Expression in Zirconia and Graphene Crowns in CBCT Images From Different Systems.International journal of dentistry · 2026Article
- How artificial intelligence is reshaping citation impact in oral and maxillofacial radiology journals: an 8-year analysis with editorial and clinical implications (JCR 2017-2024).Frontiers in research metrics and analytics · 2026Article
- Quantitative comparison of enamel-dentin and dentin-pulp distances between cone-beam computed tomography and histological sections: An ex vivo study.Journal of dental sciences · 2026Article
- Deep learning-assisted CBCT segmentation provides reliable volumetric assessment of mandibular defects compared with micro-CT for 3D printing and surgical planning.Scientific reports · 2025Article
- Accuracy of a Novel Robot-Assisted System and Dynamic Navigation System for Dental Implant Placement: A Clinical Retrospective Study.Clinical oral implants research · 2025Article
- Correction of metal artefacts around orthodontic mini-implants - a micro-CT study in the rat tail model.Scientific reports · 2025Article
- The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging.Diagnostics (Basel, Switzerland) · 2024Article
- The role of implants and implant prostheses on the accuracy and artifacts of cone-beam computed tomography: an in-vitro study.Scientific reports · 2024Article
- Performance of different cone-beam computed tomography scan modes with and without metal artifact reduction in detection of recurrent dental caries under various restorative materials.Polish journal of radiology · 2024Article
- Validation of bone mineral density measurement using quantitative CBCT image based on deep learning.Scientific reports · 2023Article
- Retrospective Analysis of Artifacts in Cone Beam Computed Tomography Images Used to Diagnose Chronic Rhinosinusitis.Diagnostics (Basel, Switzerland) · 2023Article
- Comparative Evaluation of Artifacts Originated by Four Different Post Materials Using Different CBCT Settings.Tomography (Ann Arbor, Mich.) · 2022Article
- Prevalence of dental implant positioning errors: A cross-sectional study.Imaging science in dentistry · 2022Article
- A diagnostic accuracy study on an innovative auto-edge detection technique for identifying simulated implant fractures on radiographic images.Scientific reports · 2022Article
- Transfer learning in a deep convolutional neural network for implant fixture classification: A pilot study.Imaging science in dentistry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study was conducted to review the literature regarding the types of cone-beam computed tomography (CBCT) artifacts around dental implants and the factors that influence their formation. MATERIALS AND
methodsA search strategy was carried out in the PubMed, Embase, and Scopus databases to identify published between 2010 and 2020, and 9 studies were selected. The implants included 306 titanium, titanium-zirconium, and zirconia implants, as well as 5 titanium cylinders.
resultsThe artifacts around the implants were the beam-hardening artifact, the streaking artifact, and band-like radiolucent areas. Some factors that influenced the formation of artifacts were the implant material, bone type, evaluated regions, distance, type of CBCT, field of view (FOV) size, milliamperage, peak kilovoltage (kVp), and voxel size. The beam-hardening artifact was the most widely reported, and it was minimized in protocols with a smaller FOV, larger voxels, and higher kVp.
conclusionThe risk and benefit of these protocols in individuals with dental implants must be considered, and clinical examinations and complementary radiographs play an essential role in implantology.
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.