Evidence map›Paper›PMID 40537458›Full record

ArticleJournal of prosthodontics : official journal of the American College of Prosthodontists2025

Effects of complete-arch digital scanning techniques on the passive fit of CAD-CAM verification devices.

Natalie Asavanant, Chao-Chieh Yang, Hawra AlQallaf, Amirali Zandinejad, Dean Morton, Toshiki Nagai, Wei-Shao Lin

Abstract read
In one paragraph

Article in Journal of prosthodontics : official journal of the American College of Prosthodontists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Effects of complete-arch digital scanning techniques on the passive fit of CAD-CAM verification devices.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Natalie AsavanantAsavanant Dental Clinic, Bangkok, Thailand.
Chao-Chieh YangDepartment of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
Hawra AlQallafDepartment of Periodontology, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
Amirali ZandinejadClearChoice Dental Implant Center, Arlington, Texas, USA.
Dean MortonCenter for Implant, Esthetic and Innovative Dentistry, Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
Toshiki NagaiDepartment of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
Wei-Shao LinDepartment of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the impact of different complete-arch digital scanning techniques on the passive fit of computer-aided design and computer-aided manufacturing (CAD-CAM) verification devices. MATERIALS AND

methodsA mandibular master cast with four multiunit abutment implant analogs was used as the basis for fabricating verification devices through three impression techniques. Group 1 employed a conventional open-tray impression technique using polyvinyl siloxane material, Group 2 utilized digital scans of splinted scanbodies reinforced with a light-polymerizing acrylic resin and metal mesh, and Group 3 applied digital scans of reverse scanbodies connected to a passively fitting interim prosthesis. A total of 60 CAD-CAM verification devices were fabricated, including 10 milled and 10 3D-printed devices across the three groups. The misfit of verification devices was assessed using visual inspection, tactile sensation, and a one-screw test, with any disagreements between the two primary examiners resolved by a third evaluator. Agreement between the clinicians was assessed using crosstabs, kappa statistics, and percent agreement separately for the visual and tactile evaluations. The percentage of misfits was calculated for each group and compared between groups using Fisher's exact tests (α = 0.05).

resultsMilled verification devices exhibited superior passive fit compared to 3D-printed devices across all groups. The Group 1 conventional open-tray technique with milled devices achieved a misfit percentage of 0%, significantly outperforming other groups. Group 3 reverse scanbodies with milled devices followed with a 20% misfit rate, while Group 2 splinted scanbodies with auxiliary features and milled devices showed the highest misfit rate at 60%. Among 3D-printed devices, Group 1 had the lowest misfit rate at 50%, followed by Group 3 at 60%, and Group 2 at 80%. The agreement between examiners was substantial, with a kappa statistic of 0.77 and 88% consistency. Statistical analysis revealed significant differences in misfit rates, highlighting the advantages of conventional methods and milled devices in achieving superior fit.

conclusionThe conventional splinted open-tray impression technique, combined with milled verification devices, demonstrated superior fit and outperformed other impression and manufacturing techniques. The reverse scanbody protocol performed better than splinted scanbodies with auxiliary features, although it still showed variability. Conversely, 3D-printed verification devices demonstrated higher misfit rates, limiting their clinical applicability for verifying implant positions in complete-arch prostheses.

Indexed as

Computer-Aided DesignDental Impression TechniqueDental Prosthesis DesignDental Marginal AdaptationDental Prosthesis, Implant-SupportedHumansMandiblePrinting, Three-Dimensionalfull‐archhybrid prosthesisIOSoptisplintreverse scanbody

Identifiers

PMID40537458
PMCPMC12378977

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.