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Article ; Online: Detection of caries lesions using a water-sensitive STIR sequence in dental MRI

Egon Burian / Nicolas Lenhart / Tobias Greve / Jannis Bodden / Gintare Burian / Benjamin Palla / Florian Probst / Monika Probst / Meinrad Beer / Matthias Folwaczny / Julian Schwarting

Scientific Reports, Vol 14, Iss 1, Pp 1-

2024  Volume 9

Abstract: Abstract In clinical practice, diagnosis of suspected carious lesions is verified by using conventional dental radiography (DR), including panoramic radiography (OPT), bitewing imaging, and dental X-ray. The aim of this study was to evaluate the use of ... ...

Abstract Abstract In clinical practice, diagnosis of suspected carious lesions is verified by using conventional dental radiography (DR), including panoramic radiography (OPT), bitewing imaging, and dental X-ray. The aim of this study was to evaluate the use of magnetic resonance imaging (MRI) for caries visualization. Fourteen patients with clinically suspected carious lesions, verified by standardized dental examination including DR and OPT, were imaged with 3D isotropic T2-weighted STIR (short tau inversion recovery) and T1 FFE Black bone sequences. Intensities of dental caries, hard tissue and pulp were measured and calculated as aSNR (apparent signal to noise ratio) and aHTMCNR (apparent hard tissue to muscle contrast to noise ratio) in both sequences. Imaging findings were then correlated to clinical examination results. In STIR as well as in T1 FFE black bone images, aSNR and aHTMCNR was significantly higher in carious lesions than in healthy hard tissue (p < 0.001). Using water-sensitive STIR sequence allowed for detecting significantly lower aSNR and aHTMCNR in carious teeth compared to healthy teeth (p = 0.01). The use of MRI for the detection of caries is a promising imaging technique that may complement clinical exams and traditional imaging.
Keywords Medicine ; R ; Science ; Q
Subject code 610 ; 616
Language English
Publishing date 2024-01-01T00:00:00Z
Publisher Nature Portfolio
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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