ArticleJournal of clinical medicine2021
Comparison of Dental Surface Image Registration and Fiducial Marker Registration: An In Vivo Accuracy Study of Static Computer-Assisted Implant Surgery.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Accuracy of the surgical template used in the placement of implants and orthodontic miniscrews.BMC oral health · 2025Pooled it
- Accuracy of implant placement with computer-aided static, dynamic, and robot-assisted surgery: a systematic review and meta-analysis of clinical trials.BMC oral health · 2024Pooled it
- A systematic review of the accuracy of digital surgical guides for dental implantation.International journal of implant dentistry · 2023Pooled it
- Novel marker-based cone-beam CT registration for enhanced accuracy in dental implant planning.Dento maxillo facial radiology · 2026Article
- An in vitro study of a novel intraoperative 3D-printed device for intentional replantation.BMC oral health · 2025Article
- Overview of the education system for dental technicians in Taiwan.Journal of dental sciences · 2025Article
- Influence of template design on the accuracy of static computer-assisted implant surgery.The journal of advanced prosthodontics · 2025Article
- Influence of operator experience on the complete-arch accuracy and time-based efficiency of three intraoral scanners.Journal of dental sciences · 2025Article
- The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges.Sensors (Basel, Switzerland) · 2024Review
- Efficient intraoral photogrammetry using self-identifying projective invariant marker.International journal of computer assisted radiology and surgery · 2024Article
- The Influence of Dental Virtualization, Restoration Types, and Placement Angles on the Trueness and Contact Space in 3D-Printed Crowns: A Comprehensive Exploration.Dentistry journal · 2023Article
- Evaluation of different registration methods and dental restorations on the registration duration and accuracy of cone beam computed tomography data and intraoral scans: a retrospective clinical study.Clinical oral investigations · 2022Observational
- Precision and trueness of computer-assisted implant placement using static surgical guides with open and closed sleeves: An in vitro analysis.Clinical oral implants research · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
This study compared the accuracy of static computer-assisted implant surgery (sCAIS) planned through dental surface image registration and fiducial marker registration. Stone models of 30 patients were converted into digital dental casts by using a desktop scanner. Cone-beam computed tomography (CBCT) was performed and superimposed to the digital dental casts with two methods: matching the dental surface images or matching the fiducial markers on a stereolithographic radiographic template. Following the implant planning, stereolithographic surgical guides were fabricated, and 56 fully guided implants were inserted by the same doctor. Deviations between planned and inserted implants were measured and compared using postoperative CBCT images. After adjustment for other potential influencing factors, compared with the fiducial marker registration group, significantly larger mean lateral deviations were noted in the dental surface registration group at both the implant platform and apex (
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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.