Evidence map›Paper›PMID 41928841›Full record

ArticleImaging science in dentistry2026

Reliability of dental-dedicated magnetic resonance imaging for 2-dimensional orthodontic diagnosis: A pilot study of landmark identification.

Sukeshana Srivastav, Peter B Stoustrup, Jason Liu, Maria Isabella Federici, Jennifer Christensen, Rubens Spin-Neto

Abstract read
In one paragraph

Article in Imaging science in dentistry, 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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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

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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

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.

Sukeshana SrivastavSection for Orthodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-3841-6146
Peter B StoustrupSection for Orthodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-0903-6718
Jason LiuSection for Orthodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0001-6259-2548
Maria Isabella FedericiSection for Orthodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0001-5262-6185
Jennifer ChristensenSection for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0009-0007-0002-2161
Rubens Spin-NetoSection for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-9562-0610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Lateral cephalograms are conventionally used for landmark identification and cephalometric analysis, but expose patients to ionizing radiation. Magnetic resonance imaging (MRI) is increasingly employed to evaluate various tissue types, with dental-dedicated MRI (ddMRI) emerging as a promising modality in clinical dentistry. High-quality MRI could offer a radiation-free alternative for orthodontic diagnosis and treatment planning. This pilot study aimed to evaluate the reliability of ddMRI for 2-dimensional (2D) orthodontic cephalometric landmark identification and annotation. Materials and Methods: Thirteen volunteers (7 men, 6 women; mean age 33±5.2 years) underwent ddMRI. Three independent raters identified 2D cephalometric landmarks and annotated their positions on the same ddMRI datasets twice. The 3D Slicer application was used to identify key orthodontic cephalometric landmarks on multiplanar reconstruction images in the sagittal plane. Intra-rater and inter-rater reproducibility were assessed using intraclass correlation coefficients (ICCs), and reliability was evaluated by nominal differences in linear distance (mm) between annotated points. Results: Intra-rater ICCs ranged from 0.909 to 0.999, and inter-rater ICCs ranged from 0.988 to 0.999, indicating excellent intra- and inter-rater reliability. Bland-Altman plots were used to display mean differences (mm) and limits of agreement (±1.96 standard deviations) between annotations to assess potential biases. Conclusion: ddMRI is a feasible imaging modality for 2D orthodontic landmark identification. Based on intra- and inter-rater reproducibility values, ddMRI demonstrates high reliability in identifying key orthodontic cephalometric landmarks, providing a radiation-free alternative for orthodontic diagnosis and treatment planning.

Indexed as

Magnetic Resonance ImagingOrthodontic DiagnosisReliability

Identifiers

PMID41928841
PMCPMC13040238

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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.