ReviewEuropean oral research2025
Advancements in the MRI technology for identification of dentomaxillofacial pathologies.
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 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Digital Dental Radiology and Diagnostics-From 2D to 3D.Australian dental journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high-resolution imaging capabilities of Magnetic Resonance Imaging (MRI) make it highly suitable for visualizing a wide range of dentomaxillofacial pathologies, including tumors, inflammatory conditions, and vascular abnormalities. This review focuses to the role of MRI in imaging head and neck pathologies, highlighting its advantages over traditional radiodiagnostics in dentistry. MRI's ability to detect periapical lesions, differentiate between various cysts and tumors, and assess the characteristics of odontogenic and non-odontogenic lesions is discussed. Special consideration is given to the differentiation of odontogenic keratocysts and ameloblastomas, as well as the evaluation of odontogenic fibromas and myxomas using dynamic contrast-enhanced MRI. Additionally, the review explores the potential of diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) values in distinguishing benign from malignant lesions, emphasizing the significance of these techniques in characterizing salivary gland tumors. Future advancements in MRI technology, including the application of high-field MRI and radiomics, are also considered. Radiomics, driven by artificial intelligence, offers a promising approach to extracting quantitative features from medical images, potentially enhancing the accuracy of diagnosis and prognosis in oral cancer. The review concludes by underscoring the transformative impact of MRI in dentomaxillofacial radiodiagnostics, advocating for its broader adoption in clinical practice to improve diagnostic accuracy and patient outcomes.
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Registered trials
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.