ArticleClinical implant dentistry and related research2025
Intra Oral Photogrammetry: Trueness Evaluation of Novel Technology for Implant Complete-Arch Digital Impression In Vitro.
Article in Clinical implant dentistry and related research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The accuracy of robotic-assisted zygomatic implant placement: a systematic review and meta-analysis.BMC oral health · 2026Pooled it
- Photogrammetry Versus Intraoral Scanning in Complete-Arch Digital Implant Impression: A Systematic Review and Meta-Analysis.Clinical implant dentistry and related research · 2025Pooled it
- Segmented Intraoral Scanning With a Palatal Marker for Complete-Arch Digital Implant Impressions: An In Vitro Comparative Study.Clinical oral implants research · 2026Article
- Modified Reverse Scan Technique for Abutment Teeth.Dentistry journal · 2026Article
- Accuracy of complete-arch digital implant impressions using conventional scanbodies, ScanTransfers, and splinted ScanTransfers: an in vitro study.BMC oral health · 2026Article
- A Case Report: Immediate Implant Placement with PRF, Photogrammetry-Guided Workflow, and Monolithic Zirconia Full-Arch Restoration.Reports (MDPI) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate the trueness of intraoral photogrammetry (IPG) technology for complete-arch implant digital impression and evaluate the effect of implant number. MATERIAL AND
methodsAll data were fully anonymized in compliance with ethical standards, and a total of 30 complete-arch patient models with 4 (n = 13), 5 (n = 9), or 6 (n = 8) implants were selected from the archive. Digital impressions were taken with IPG and a desktop scanner. Test and reference standard tessellation language (STL) files were superimposed using a best-fit algorithm. For each implant position, mean linear (ΔX, ΔY, ΔZ axes) and angular deviations (ΔANGLE) and three-dimensional (3D) Euclidean distances (ΔEUC) were measured as primary outcomes with a dedicated software program (Hyper Cad S, Cam HyperMill, Open Mind Technologies) and reported as descriptive statistics. Secondary aim was to determine using linear mixed models whether implant number affected trueness. All statistical analyses were conducted using Stata 18 (Stata Corp, College Station) and significance was set at 0.05.
resultsA total of 30 definitive casts with 4 (n = 13), 5 (n = 8), and 6 (n = 9) multi-unit abutment (MUA) analogs were analyzed (n = 146 implant positions). The mean deviations along the X-axis were -3.97 ± 32.8 μm, while along the Y-axis, they were -1.97 ± 25.03 μm. For the Z-axis, a greater deviation of -33 ± 34.77 μm was observed. The 3D Euclidean distance deviation measured 57.22 ± 27.41 μm, and the angular deviation was 0.26° ± 0.19°. Statistically significant deviations were experienced for ΔZ, ΔEUC, and ΔANGLE (p < 0.01). Additionally, the number of implants had a statistically significant effect only on the Z-axis deviation (p = 0.03).
conclusionsWithin study limitations, IPG technology was feasible for complete-arch digital implant impression with mean linear, angular, and 3D deviations far below the acceptable range for a passive fit. Reported IPG trueness might avoid a rigid prototype try-in. The implant number had no influence on trueness except for Z-axis deviations. Integrating photogrammetry with intraoral optical scanning (IOS) improved practicality, optimizing the digital workflow. Further clinical trials are needed to confirm these findings.
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