Accuracy of Stereophotogrammetry Technique versus Intraoral Scanners for Complete-Arch Implant Digital Impressions: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract This systematic literature review aimed to evaluate the accuracy of the stereophotogrammetry based dental scanners in determining complete-arch implant retained prosthesis compared to intraoral scanners (IOSs). The focused PICO (Population, Intervention, Comparison, Outcome) directed was “Do complete arch implant (P) impressions made using stereophotogrammetry-based dental scanners (I) have the same accuracy (O) when compared to impressions made using IOS (C)?” Recommendations listed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were used for structuring and reporting this review. This systematic review and meta-analysis was preregistered in the International Prospective Register of Systematic Reviews (PROSPERO) bearing the registration number CRD42024597913. To search the relevant titles, four electronic databases (MEDLINE/PubMed, Scopus, Cochrane Library, and Web of Science) were systematically searched in October 2024. The inclusion criteria include research papers published up to September 2024 in English comparing the accuracy of stereophotogrammetry-based dental scanners with IOS in recording the impression of complete-arch implants. Studies conducted on animals were excluded. Also excluded were unpublished reports, theses and dissertations, and case reports. After the initial search of the selected databases, a total of 590 titles were identified. The synthesis included 13 articles for qualitative analysis, but only 8 provided comparative data for quantitative analysis, which was performed using review manager (RevMan) Version 5.4. in non-Cochrane mode. The Modified CONSORT scale was used for in vitro quality and risk-of-bias assessment, while the QUADAS-2 tool was utilized for in vivo studies. The systematic review and meta-analysis reveals that stereophotogrammetric-based dental scanners offer higher accuracy in recording complete-arch implant-supported prosthesis impressions compared to IOS. The current review and meta-analysis compared of the accuracy of stereophotogrammetry-based dental scanners with IOSs. Limitations include medium to high quality of selected studies, with most of the in vitro studies displaying a high risk of bias, high heterogeneity in the control groups, and generalizability concerns. Accuracy of dental implant impressions is influenced by the type of scanner used for scanning. Stereophotogrammetry-based dental scanners are more accurate than IOS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".