메니에르병에서 내이 자기공명영상의 활용

Ménière's disease (MD) is one of the diseases that greatly reduces the quality of life, causing repeated dizziness, hearing loss, and tinnitus. There have been various efforts to diagnose MD and predict its prognosis, but even today, hearing test is the only objective test included in the diagnostic criteria. This is because we lack tools with which we can clearly identify the endolymphatic hydrops (EH), the histologic hallmark of MD. Since the mid-2000s, 3-tesla MRI using a three-dimensional fluid-attenuated inversion recovery sequence has begun to be used to detect the EH of MD. More recently, many clinical studies have been conducted using this sequence of MRI, and the diagnostic value of inner ear MRI has thus increased. In particular, with the remarkable development of the convolutional neural network (CNN), the technology of medical image analysis has also grown dramatically. In this work, we explore how inner ear MRI is clinically used in MD, how CNN is actually used in the diagnosis of MD, and finally consider the diagnostic value of inner ear MRI in the future.