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DOI 10.1007/s00234-023-03176-z

Медицинская библиотека · Neuroradiology · 2023

Improving diagnostic accuracy for probable and definite Ménière's disease using magnetic resonance imaging.

Li Jinye, Wang Linsheng, Hu Na, Kong Xiao, Ge Xiaoqian, Liu Mengxiao, Li Chuanting, Sun Lixin, Gong Ruozhen

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Аннотация

PURPOSE: To determine whether magnetic resonance imaging (MRI) can improve diagnostic accuracy for definite and probable Ménière's disease (MD) based on perilymphatic enhancement (PE) and endolymphatic hydrops (EH).

METHODS

363 patients with unilateral MD (probable MD, n = 75 and definite MD, n = 288) were recruited. A three-dimensional zoomed imaging technique with parallel transmission SPACE real inversion recovery was performed 6 h after intravenous gadolinium injection to investigate the presence of PE and to evaluate the grading and location of EH. PE and EH characteristics were analyzed and compared between the probable and definite MD groups.

RESULTS

The cochlear and vestibular EH grading on the affected side was more severe in the definite MD group than that in the probable MD group (P < 0.001). The EH locations within the inner ear on the affected side also differed between the two groups (χ2 = 81.15, P < 0.001). The signal intensity ratio (SIR) on the affected side was significantly higher in the definite MD group than in the probable MD group (t = 2.18, P < 0.05). The assessment of the combination of PE and EH parameters within the inner ear revealed a higher area under the curve (AUC) in the definite MD group (0.82) compared with the AUCs of the parameters assessed alone.

CONCLUSION

The assessment of a combination of PE and EH parameters improved the diagnostic accuracy for probable and definite MD, suggesting that MRI findings may be clinically useful in the diagnosis of MD.

Для цитирования: Li Jinye, Wang Linsheng, Hu Na, Kong Xiao, Ge Xiaoqian, Liu Mengxiao, Li Chuanting, Sun Lixin, Gong Ruozhen. Improving diagnostic accuracy for probable and definite Ménière's disease using magnetic resonance imaging.. Neuroradiology. 2023. DOI: 10.1007/s00234-023-03176-z.

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