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Quantitative analysis of masticatory muscle changes by Eichner index using diffusion-weighted imaging

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Abstract

Objectives

Diffusion-weighted imaging (DWI) provides quantitative functional information about the microscopic movement of water at the cellular level. However, few reports have quantitatively evaluated histological changes in masticatory muscles due to changes in occlusal relationships using DWI. This study aimed to assess the changes in masticatory muscles by Eichner index using DWI.

Methods

We analyzed magnetic resonance imaging (MRI) studies of 201 patients from November 2017 to April 2018. Each Eichner index group, age, and sex were used as criterion variables, and the average apparent diffusion coefficient (ADC) values of the masticatory muscles were the explanatory variable. The mean ADC value differences were analyzed in each Eichner index group. We analyzed the data using the Kruskal–Wallis test and post hoc Mann–Whitney test with Bonferroni adjustment multiple regression analysis with Shapiro–Wilk test and Spearman’s correlation coefficients. P < 0.05 was considered statistically significant.

Results

The mean ADC values of each Eichner classification group were significantly different, with the lowest value in group C (P < 0.001). There was a negative correlation between the ADC value of the masseter, lateral pterygoid muscle, and age (P < 0.001). There were significant differences between the sex groups (P < 0.001).

Conclusions

ADC values of masticatory muscles were significantly different in the Eichner index groups. The ADC values of masticatory muscles may be useful for the quantitative evaluation of the masticatory muscles affected by the occlusal state.

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Abbreviations

MRI:

Magnetic resonance imaging

DWI:

Diffusion-weighted imaging

ROI:

Region of interest

ADC:

Apparent diffusion coefficient

ICC:

Intraclass correlation coefficient

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Correspondence to Hirotaka Muraoka.

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Muraoka, H., Kaneda, T., Ito, K. et al. Quantitative analysis of masticatory muscle changes by Eichner index using diffusion-weighted imaging. Oral Radiol 39, 437–445 (2023). https://doi.org/10.1007/s11282-022-00656-5

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  • DOI: https://doi.org/10.1007/s11282-022-00656-5

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