Evidence map›Paper›PMID 40453404›Full record

ReviewEuropean oral research2025

The evolving role of MRI in dentomaxillofacial diagnostics: a comprehensive review.

Melisa Öcbe

Abstract readReview
In one paragraph

Review in European oral research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
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

1 author.

Melisa ÖcbeKocaeli Health and Technology University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, KocaeliTürkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance Imaging (MRI) has emerged as a pivotal diagnostic tool in dentomaxillofacial radiology, surpassing conventional imaging techniques by offering superior contrast resolution for soft tissue lesions without the use of ionizing radiation. This comprehensive review explores the expanding applications of MRI in dentistry, highlighting its integration into routine diagnostic protocols and its significance in the evaluation of oral and maxillofacial structures. The article delves into the physics of MRI, detailing the various sequences such as Spin Echo (SE), Gradient Echo (GRE), and Short-Tau Inversion Recovery (STIR), each tailored for specific diagnostic needs. Advanced techniques like Dynamic Contrast-Enhanced MRI and Diffusion-Weighted Imaging (DWI) are discussed for their roles in assessing tissue perfusion and differentiating between benign and malignant lesions. The review emphasizes the necessity of appropriate coil selection and parameter optimization to enhance image quality, particularly in dental applications where artifacts from restorative and prosthetic materials can pose challenges. Furthermore, the article addresses the utility of MRI in visualizing dental hard tissues, the temporomandibular joint, and neurovascular structures, providing a comprehensive overview of its diagnostic capabilities. The integration of MRI into global health systems and the role of Personal Electronic Health Records in reducing redundant imaging are also examined. Conclusively, the review underscores the transformative impact of MRI on dentomaxillofacial diagnostics, advocating for its broader adoption in clinical practice to facilitate accurate diagnosis and effective treatment planning.

Indexed as

Dental imagingdentomaxillofacial diagnosticsmagnetic resonance imagingradiology

Identifiers

PMID40453404
PMCPMC12126162

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.