Evidence map›Paper›PMID 39754473›Full record

ArticleOrthodontics & craniofacial research2025

Deep Learning-Based Three-Dimensional Analysis Reveals Distinct Patterns of Condylar Remodelling After Orthognathic Surgery in Skeletal Class III Patients.

Selene Barone, Lucia Cevidanes, Jonas Bianchi, Joao Roberto Goncalves, Amerigo Giudice

Abstract read
In one paragraph

Article in Orthodontics & craniofacial research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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

5 authors.

Selene BaroneDepartment of Health Sciences, School of Dentistry, Magna Graecia University of Catanzaro, Catanzaro, Italy.ORCID https://orcid.org/0000-0002-0701-2675
Lucia CevidanesDepartment of Orthodontics and Pediatric Dentistry, School of Dentistry, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-9786-2253
Jonas BianchiDugoni School of Dentistry, University of the Pacific, San Francisco, California, USA.
Joao Roberto GoncalvesSchool of Dentistry, São Paulo State University, São Paulo, Brazil.
Amerigo GiudiceDepartment of Health Sciences, School of Dentistry, Magna Graecia University of Catanzaro, Catanzaro, Italy.ORCID https://orcid.org/0000-0002-5091-6979

Funding

Quantification of 3D Bony Changes in Temporomandibular Joint OsteoarthritisR01DE024450 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Lucia H Cevidanes · 2013 to 2026
$5.5M
NIDCR NIH HHS R01 DE024450
6 · The paper itself

Abstract

objectiveThis retrospective study aimed to evaluate morphometric changes in mandibular condyles of patients with skeletal Class III malocclusion following two-jaw orthognathic surgery planned using virtual surgical planning (VSP) and analysed with automated three-dimensional (3D) image analysis based on deep-learning techniques. MATERIALS AND

methodsPre-operative (T1) and 12-18 months post-operative (T2) Cone-Beam Computed Tomography (CBCT) scans of 17 patients (mean age: 24.8 ± 3.5 years) were analysed using 3DSlicer software. Deep-learning algorithms automated CBCT orientation, registration, bone segmentation, and landmark identification. By utilising voxel-based superimposition of pre- and post-operative CBCT scans and shape correspondence, the overall changes in condylar morphology were assessed, with a focus on bone resorption and apposition at specific regions (superior, lateral and medial poles). The correlation between these modifications and the extent of actual condylar movements post-surgery was investigated. Statistical analysis was conducted with a significance level of α = 0.05.

resultsOverall condylar remodelling was minimal, with mean changes of < 1 mm. Small but statistically significant bone resorption occurred at the condylar superior articular surface, while bone apposition was primarily observed at the lateral pole. The bone apposition at the lateral pole and resorption at the superior articular surface were significantly correlated with medial condylar displacement (p < 0.05).

conclusionThe automated 3D analysis revealed distinct patterns of condylar remodelling following orthognathic surgery in skeletal Class III patients, with minimal overall changes but significant regional variations. The correlation between condylar displacements and remodelling patterns highlights the need for precise pre-operative planning to optimise condylar positioning, potentially minimising harmful remodelling and enhancing stability.

Indexed as

Bone RemodelingDeep LearningImaging, Three-DimensionalMalocclusion, Angle Class IIIMandibular CondyleOrthognathic Surgical ProceduresAdultCone-Beam Computed TomographyFemaleHumansMaleRetrospective StudiesYoung Adultcondylar morphologycondylar remodellingdeep learning‐based 3D analysisorthognathic surgeryskeletal class III

Identifiers

PMID39754473
PMCPMC12056474

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LicenceCC BY-NC-ND
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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.