Evidence map›Paper›PMID 42643014›Full record

ArticleEuropean journal of orthodontics2026

Comparison of automated algorithm-based versus manual dental landmark placement for model analysis and evaluation of orthodontic quality indices.

Norbert Alexander Lang, Franziska Alina Lang, Christian Niederau, Anne Schieberle, Kay Stankov, Michael Wolf, Rogerio Bastos Craveiro

Abstract readComparative Study
In one paragraph

Article in European journal of orthodontics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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.

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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

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5 · Who and what money

Authors and funding

7 authors.

Norbert Alexander LangDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0009-0002-6292-3524
Franziska Alina LangDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
Christian NiederauDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
Anne SchieberleDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.
Kay StankovStat4med, Große Seestraße 44, 60486 Frankfurt am Main, Germany.
Michael WolfDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0002-5882-3080
Rogerio Bastos CraveiroDepartment of Orthodontics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074 Aachen, Germany.ORCID 0000-0003-0768-935X

Funding

Faculty of Medicine at the RWTH Aachen 546544928Faculty of Medicine at the RWTH Aachen SFB1739
6 · The paper itself

Abstract

backgroundDigital approaches have fundamentally transformed orthodontics. This study compares an automated, rule-based algorithm with manual landmark placement, evaluating the results of manual versus semi-automated orthodontic quality indices. METHODOLOGY: This retrospective method-comparison study evaluated 100 digital models from 50 orthodontic patients using the Onyxceph3™ diagnostic software. Primary automated landmark placement was assessed for four predefined dental landmark types across 14 tooth groups and was then compared with expert-based manual landmark placement, which was used as the reference standard. Deviations were quantified using Euclidean distances and signed coordinate differences along the X-, Y- and Z-axes. Secondly, we evaluated semi-automated versus manual orthodontic quality assessment using the ABO eCRE and PAR index.

resultsCusps and incisal landmarks show low levels of error when using automatic placement compared with manual placement, with a threshold of ≤1 mm. Vestibular marginal gingival landmarks show the highest deviation. Across tooth groups, mean deviations ranged from 0.54 mm for second molars (95% CI 0.49-0.59) to 0.83 mm for canines (95% CI 0.80-0.85). There was no relevant global directional bias in the X-, Y- and Z-axes. Secondary analysis revealed mean differences of 1.90 points and 3.98 points for ABO eCRE, and -0.08 points and 0.74 for PAR in initial and final models, respectively.

conclusionThe automatic placement of landmarks generally showed acceptable deviations, with the exception of vestibular marginal gingival landmarks. However, the automatic detection of landmarks and orthodontic indices should always be reviewed by a clinician.

Indexed as

AlgorithmsAnatomic LandmarksModels, DentalOrthodonticsToothCephalometryCuspidDetection AlgorithmsGingivaHumansImage Processing, Computer-AssistedIncisorMolarRetrospective StudiesSoftwareABO eCREdental landmark placementdigital model analysisorthodontic quality indexPAR indexsemi-automated algorithm

Identifiers

PMID42643014
PMCPMC13507319

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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.