Evidence map›Paper›PMID 41339411›Full record

ArticleScientific reports2025

An in vitro accuracy study on scan body-assisted surface based registration for conventional and zygomatic dental implants.

Michael D Han, Sebastian Graca, Dima Ghunaim, Leila Ahmadian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michael D HanDepartment of Oral and Maxillofacial Surgery, University of Illinois Chicago College of Dentistry, 801 S. Paulina St., Room 110, Chicago, IL 60612 - 7211, USA. hanmd@uic.edu.
Sebastian GracaPrivate Practice Oral and Maxillofacial Surgeon, Chicago, IL, USA.
Dima GhunaimDepartment of Restorative Dentistry, University of Illinois Chicago College of Dentistry, Chicago, IL, USA.
Leila AhmadianDepartment of Restorative Dentistry, University of Illinois Chicago College of Dentistry, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are various techniques to measure accuracy of dental implant surgery, but limited data validating the techniques used to analyze accuracy. Scan-body-assisted surface-based registration (SB-SBR) is deemed theoretically accurate, but with challenges in testing accuracy. The purpose of the study was to analyze the accuracy of SB-SBR for conventional (CVI) and zygomatic implants (ZI) using 2 complementary techniques. An in-vitro study was designed using a 3D-printed model of an edentulous maxilla with CVI and ZI digitally planned and placed. SB-SBR was performed on the physical model and on a model-free virtual setting, and the implant position was compared with those of the planned implants 10 times. Outcome variables were angular and linear errors (AE and LE), with thresholds of 1° and 1 mm. Paired t-test and Wilcoxson signed-ranked test were used. Results showed greater AE for ZI versus CVI (mean difference, MD 0.42°). Apical LE was greater for ZI (MD 0.68 mm), while CVI exhibited greater platform LE (MD 0.69 mm). Overall AE remained under 1°, but the apical LE of ZI exceeded 1 mm, which could potentially lead to violation of critical structures when combined with surgical error, highlighting the need for caution when interpreting data derived from SB-SBR especially for ZI.

Indexed as

Dental Implantation, EndosseousDental ImplantsZygomaHumansMaxillaPrinting, Three-DimensionalDental Implants

Identifiers

PMID41339411
PMCPMC12678584

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.