Evidence map›Paper›PMID 39743647›Full record

ArticleClinical oral investigations2025

Comparative evaluation of intraoral scanners and a spectrophotometer for percent correct shade identification in clinical dentistry.

Sascha Hein, Julian Nold, Matthias Masannek, Stephen Westland, Benedikt C Spies, Karl Thomas Wrbas

Abstract readComparative Study
In one paragraph

Article in Clinical oral investigations, 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
  2. Review
  3. Review
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

6 authors.

Sascha Hein *Graduate School of Colour Science and Technology, School of Design, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK. sdsch@leeds.ac.uk.ORCID http://orcid.org/0000-0002-0419-424X
Julian Nold *Center for Dental Medicine, Department of Operative Dentistry and Periodontology, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0000-0002-0627-6046
Matthias MasannekCenter for Dental Medicine, Department of Operative Dentistry and Periodontology, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0009-0008-4748-5486
Stephen WestlandGraduate School of Colour Science and Technology, School of Design, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.ORCID http://orcid.org/0000-0003-3480-4755
Benedikt C SpiesCenter for Dental Medicine, Department of Prosthetic Dentistry, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0000-0003-1702-1679
Karl Thomas WrbasCenter for Dental Medicine, Department of Operative Dentistry and Periodontology, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0000-0001-5038-6608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aimed to assess the percent correct shade identification of four intraoral scanners (IOS) and a spectrophotometer, focusing on how reliably each device selects the correct tooth shade compared to a visual observer's selection. The research question addresses how much clinicians can trust the device-selected shade without visual verification. MATERIALS AND

methodsSixteen participants with natural, unrestored teeth were included. The teeth evaluated were tooth 21 (left maxillary central incisor), tooth 23 (left maxillary canine), and tooth 26 (first left maxillary molar). Tooth color was measured using four IOS devices and the Vita Easyshade V in three regions: incisal, middle, and cervical. The nearest 3D Master shade selected by each device was compared to the visual observer's selection. The percent exact match, acceptable match (> 1.2, ≤ 2.7 ∆E

resultsThe overall clinical pass rate was highest for Carestream (78.2%), followed by Easyshade (63.5%), Primescan (51.2%), Trios (39.5%), and Medit (31.3%). Carestream also recorded the highest rate of mismatch type A (47.7%). Significant differences between devices were observed for all categories (p < 0.05).

conclusionsCarestream demonstrated the highest overall clinical pass rate, while Medit exhibited the lowest. The study highlights the variability between devices in shade matching performance. CLINICAL RELEVANCE: This study highlights the importance of considering device performance when relying on IOS or spectrophotometers for shade selection without visual assessment, as the reliability can vary significantly across devices.

Indexed as

SpectrophotometryAdultColorFemaleHumansMaleProsthesis ColoringColor measurementIntraoral scannersShade guide reliabilityShade matchingVisual-instrumental agreement

Identifiers

PMID39743647
PMCPMC11693619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.