Evidence map›Paper›PMID 40857450›Full record

ArticleSeminars in orthodontics2025

Aligning MRI and CBCT for Advanced TMJ Diagnostics: Case Series Using AI-Powered Registration in Dentistry and Orthodontics.

Eduardo Duarte Caleme, Lucia Cevidanes, Claudia Mattos, Felicia Miranda, Marcela Gurgel, Selene Barone, Alban Gaydamour, Enzo Tulissi, Jeanne Claret, Gaelle Leroux and 9 more

Abstract read
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In one paragraph

Article in Seminars in orthodontics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

19 authors.

Eduardo Duarte CalemeUniversity of Michigan, Ann Arbor, USA.
Lucia CevidanesUniversity of Michigan, Ann Arbor, USA.
Claudia MattosUniversity of Michigan, Ann Arbor, USA.
Felicia MirandaUniversity of Michigan, Ann Arbor, USA.
Marcela GurgelUniversity of Michigan, Ann Arbor, USA.
Selene BaroneUniversity of Michigan, Ann Arbor, USA.
Alban GaydamourUniversity of Michigan, Ann Arbor, USA.
Enzo TulissiUniversity of Michigan, Ann Arbor, USA.
Jeanne ClaretUniversity of Michigan, Ann Arbor, USA.
Gaelle LerouxUniversity of Michigan, Ann Arbor, USA.
Alexandre MoroUniversidade Positivo, Curitiba, Brazil.
João GonçalvesUniversidade Estadual Paulista, São Paulo, Brazil.
Antônio RuellasUniversidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Marina Morettin ZuperlariUniversity of Michigan, Ann Arbor, USA.
Paulo Zupelari GonçalvesUniversity of Michigan, Ann Arbor, USA.
Nina HsuUniversity of Michigan, Ann Arbor, USA.
Larry WolfordBaylor College of Dentistry, Dallas, USA.
Juan PrietoUniversity of the Pacific, Stockton, USA.
Jonas BianchiUniversity of North Carolina, Chapel Hill, USA.

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

This study demonstrates the functionality and clinical value of magnetic resonance imaging (MRI) to cone-beam computed tomography (CBCT) registration using a new open-source artificial intelligence (AI) model called MR2CBCT. We present five clinical cases in which the AI-based method was used to register CBCT and MRI images. For comparison, manual registration was also performed. Qualitative inspection revealed that manual alignment often showed errors that could compromise diagnostic accuracy. In contrast, the AI-based approach consistently corrected these discrepancies, producing more anatomically coherent fused images to better support clinical decision-making. Our findings highlight MR2CBCT as a reliable and accessible tool for multimodal integration in temporomandibular joint (TMJ) assessment in orthodontics and general dentistry.

Identifiers

PMID40857450
PMCPMC12360114

What OpenQuestion holds

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Registered trials

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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.