Actual applications of magnetic resonance imaging in dentomaxillofacial region

Johnson, Migi; Sreela, L.; Mathew, Philips; Prasad, Twinkle S

doi:10.1007/s11282-021-00521-x

Cited by 21 publications

(5 citation statements)

References 50 publications

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“…Currently, CT with excellent resolution is actively used for the comprehensive analysis of the human body and agricultural crops, facilitated by advancements in X-ray tubes and detectors 14 . In MRI, the magnetization of hydrogen atoms in a sample is achieved through a robust magnetic field, generating MR images based on signal intensity variations corresponding to the strength of magnetization 15 . MRI is recognized as a commonly utilized imaging approach in clinical practice to identify diverse abnormalities in the body and is characterized by sharp image contrast 16 .…”

Section: Discussionmentioning

confidence: 99%

Non-destructive visualization of internal structural changes in humidified magnesium oxide tablets using X-ray computed tomography

Amemiya,

Suzuki,

Tomita

2024

Sci Rep

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Detailed examinations of the internal structure of tablets are imperative for comprehending their formulation, physical attributes, and ensuring their safe utilization. While X-ray computed tomography (CT) is valuable for noninvasively analyzing internal structural changes, the influence of humidity on these structural changes remains unexplored. Accordingly, we aimed to assess the viability of X-ray CT in non-destructively evaluating the internal structure of humidified magnesium oxide (MgO) tablets. MgO tablets were subjected to conditions of 40 °C and 75% humidity for 7 days, weighed pre- and post-humidification, and subsequently stored at room temperature (22–27 °C) until day 90. Their internal structure was evaluated using X-ray CT. We observed a substantial increase in the weight of MgO tablets concomitant with moisture absorption, with minimal changes observed upon storage at room temperature. The skewness reduced immediately post-moisture absorption, remained almost the same post-storage at room temperature, and failed to revert to pre-humidification levels during the storage period. These findings highlight the utility of X-ray CT as an effective tool for non-destructive, three-dimensional, and detailed evaluation of internal structural transformations in MgO tablets.

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Section: Discussionmentioning

confidence: 99%

Non-destructive visualization of internal structural changes in humidified magnesium oxide tablets using X-ray computed tomography

Amemiya,

Suzuki,

Tomita

2024

Sci Rep

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“…While the majority of the included studies evaluated dental implant planning, maxillofacial surgery, and diagnosis, a wide range of MRI findings for evaluating the maxillofacial region has also been recently reported [36,40]. Most included in vitro designs, which exclude clinical factors and lack the complexity of living biological b studies were heterogeneous regarding study design.…”

Section: Discussionmentioning

confidence: 99%

Magnetic resonance imaging for jawbone assessment: a systematic review

Parize,

Sadilina,

Caldas

et al. 2024

Head Face Med

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Purpose To evaluate the accuracy of magnetic resonance imaging (MRI) for jawbone assessment compared to reference-standard measurements in the literature. Materials and methods An electronic database search was conducted in PubMed, EMBASE, Scopus, Web of Science, and the Cochrane Library in June 2022, and updated in August 2023. Studies evaluating the accuracy of MRI for jawbone assessment compared with reference-standard measurements (histology, physical measurements, or computed tomography) were included. The outcome measures included bone histomorphometry and linear measurements. The risk of bias was assessed by the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2). The review was registered in the PROSPERO database (CRD42022342697). Results From 63 studies selected for full-text analysis, nine manuscripts were considered eligible for this review. The studies included assessments of 54 participants, 35 cadavers, and one phantom. A linear measurement error ranging from 0.03 to 3.11 mm was shown. The accuracy of bone histomorphometry varies among studies. Limitations of the evidence included heterogeneity of MRI protocols and the methodology of the included studies. Conclusion Few studies have suggested the feasibility of MRI for jawbone assessment, as MRI provides comparable results to those of standard reference tests. However, further advancements and optimizations are needed to increase the applicability, validate the efficacy, and establish clinical utility of these methods.

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“…Magnetic resonance (MR) imaging (MRI) is recognized as the best imaging modality for assessment of TMJ because it allows visualization of the anatomical and pathological features of all joint components 5 . Notably, MRI permits evaluation of the morphology and position of the articular disc, the presence or absence of reduction during mouth or jaw opening, the morphology and surface characteristics of the mandibular condyle, abnormal bone marrow signal in mandible and temporal bone, and the presence or absence of joint effusion.…”

Section: Introductionmentioning

confidence: 99%

Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning

Ito

Mine

Yoshimi

et al. 2022

Sci Rep

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Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients with temporomandibular disorders includes patients with different forms of articular disc displacement and deformation. Here, we propose a fully automated articular disc detection and segmentation system to support the diagnosis of temporomandibular disorder on magnetic resonance imaging. This system uses deep learning-based semantic segmentation approaches. The study included a total of 217 magnetic resonance images from 10 patients with anterior displacement of the articular disc and 10 healthy control subjects with normal articular discs. These images were used to evaluate three deep learning-based semantic segmentation approaches: our proposed convolutional neural network encoder-decoder named 3DiscNet (Detection for Displaced articular DISC using convolutional neural NETwork), U-Net, and SegNet-Basic. Of the three algorithms, 3DiscNet and SegNet-Basic showed comparably good metrics (Dice coefficient, sensitivity, and positive predictive value). This study provides a proof-of-concept for a fully automated deep learning-based segmentation methodology for articular discs on magnetic resonance images, and obtained promising initial results, indicating that the method could potentially be used in clinical practice for the assessment of temporomandibular disorders.

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Actual applications of magnetic resonance imaging in dentomaxillofacial region

Cited by 21 publications

References 50 publications

Non-destructive visualization of internal structural changes in humidified magnesium oxide tablets using X-ray computed tomography

Non-destructive visualization of internal structural changes in humidified magnesium oxide tablets using X-ray computed tomography

Magnetic resonance imaging for jawbone assessment: a systematic review

Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning

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