Evidence map›Paper›PMID 41145637›Full record

ArticleScientific reports2025

Digital impression accuracy for bone-level and tissue-level implants using scan bodies of different heights.

Jae-Hyun Lee, Ji-Su Jo, Su Young Lee

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Jae-Hyun LeeDepartment of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry, Seoul, Republic of Korea.
Ji-Su JoDepartment of Prosthodontics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
Su Young LeeDepartment of Prosthodontics, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. lsuyoung@daum.net.

Funding

'Ministry of Health and Welfare (MOHW)' and the KHIDI RS-2024-00341361 and by the 'Supporting Project to evaluation Domestic Medical Devices in Hospitals'
6 · The paper itself

Abstract

Intraoral scanning has gained acceptance for its accuracy comparable to conventional implant impressions. This study compared digital impression accuracy based on implant placement level and scan body height. Two mandibular partial edentulous models missing the left second premolar and first molar, were used: one with a tissue level implant and the other with a bone level implant. Models were divided into four groups: Group TS-S (bone level, short scan bodies), Group TS-R (bone level, Regular scan bodies), Group SS-S (tissue level, short scan bodies), and Group SS-R (tissue level, Regular scan bodies). Each group was scanned with a model scanner for reference STL files and two intraoral scanners (IOSs; Medit i700, Cerec Primescan) for experimental STL files. Deviation between experimental and reference STL files was measured. The Medit i700 demonstrated smaller scan discrepancies compared to the CEREC Primescan. For both intraoral scanners, the use of short scan bodies resulted in higher trueness than regular scan bodies. Tissue level implants exhibited greater trueness and precision than bone level implants (p < 0.05). These findings indicate that both the implant placement level and scan body height are factors that can influence the accuracy of digital impressions.

Indexed as

Dental ImplantsDental Impression TechniqueHumansMandibleDental ImplantsComputer-aided design and computer-aided manufacturing (CAD/CAM)Dental implantDigital impressionIntraoral scannerScan body

Identifiers

PMID41145637
PMCPMC12559281

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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.