Evidence map›Paper›PMID 39406788›Full record

ArticleScientific reports2024

An automatic tracking method to measure the mandibula movement during real time MRI.

Jérémy Mouchoux, Florian Sojka, Philipp Kauffmann, Peter Dechent, Philipp Meyer-Marcotty, Anja Quast

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

6 authors.

Jérémy MouchouxPoliklinik für Kieferorthopädie, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany. jeremy.mouchoux@med.uni-goettingen.de.
Florian SojkaPoliklinik für Kieferorthopädie, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany.
Philipp KauffmannClinic for Oral and Maxillofacial Surgery, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany.
Peter DechentMR-Research in Neuroscience, Institut für Kognitive Neurologie, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany.
Philipp Meyer-MarcottyPoliklinik für Kieferorthopädie, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany.
Anja QuastPoliklinik für Kieferorthopädie, University Medical Center Goettingen (UMG), Robert Koch-Str. 40, 37075, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mandibular movement is complex and individual due to variations in the temporomandibular joint (TMJ). Consequently, patient-centered dentistry should incorporate patients' specific anatomy and condylar function in treatment planning. Real-time magnetic resonance imaging (rt-MRI) visualizes relevant structures and tracks mandibular movement. However, current assessments rely on qualitative observations or time-consuming manual tracking, lacking reliability. This study developed an automatic tracking algorithm for mandibular movement in rt-MRI using least mean square registration (LMS) and compared it to manual tracking (MT) during mouth opening. Ten participants with skeletal class I underwent rt-MRI (10 frames/s). The same operator tracked the condylar pathway for the two methods, setting 2000 landmarks (2 landmarks x100 frames x10 participants) for MT and 210 landmarks (3 landmarks x7 frames x10 participants) for LMS. Time required, superimposition error, and the distance between tracked condylar pathways were compared between methods. LMS tracking was 76% faster and showed significantly better superimposition (0.0289 ± 0.0058) than MT (0.059 ± 0.0145) (p = 0.002). During one-third of the movement, the pathways tracked by both methods were more than 1 mm and 1° apart. These findings highlight the benefits of automatic condylar movement tracking in rt-MRI, laying the groundwork for more objective and quantitative observation of TMJ function.

Indexed as

Magnetic Resonance ImagingMandibleMovementTemporomandibular JointAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMandibular CondyleYoung AdultCondyleLMS algorithmrtMRITemporomandibular jointTracking

Identifiers

PMID39406788
PMCPMC11480379

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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.