Okuda Itsuko, Yoshioka Naoki, Akita Keiichi, Jinzaki Masahiro
Department of Diagnostic Radiology, International University of Health and Welfare (IUHW), Mita Hospital, 1-4-3, Mita Minato-Ku, Tokyo, 108-8329, Japan.
Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan.
Int Urogynecol J. 2025 Jun 28. doi: 10.1007/s00192-025-06200-3.
As aging societies become increasingly widespread worldwide, the prevalence of pelvic floor (PF) disorders is also increasing, particularly among older women. We hypothesized that PF fragility associated with aging could be detected by examining its configurations and the condition of the levator ani muscle. Therefore, in the present study, we aimed to establish a method for detecting age-related PF fragilities by analyzing PF configuration and levator ani muscle thickness using magnetic resonance imaging (MRI).
In total, 328 healthy female participants aged 20-91 years were enrolled in this study. T2-weighted coronal MR images of the pelvis were used to classify PF configuration into four types: wing, shallow-V, deep-V, and cup. The correlation between age and levator ani muscle thickness was analyzed for each classification.
PF configuration was observed to transition from wing to shallow-V, deep-V, and finally to cup type with age. Additionally, a strong negative correlation was identified between age and levator ani muscle thickness (r = -0.75, P < 0.001). Levator ani muscle thickness decreased progressively in the following order: wing, shallow-V, deep-V, and cup.
This MRI-based visual classification method provides a simple and practical approach to evaluate age-related PF changes. Visually assessing PF configuration facilitates the detection of structural decline associated with aging.
随着老龄化社会在全球范围内日益普遍,盆底(PF)疾病的患病率也在上升,尤其是在老年女性中。我们假设,通过检查盆底的形态和肛提肌的状况,可以检测出与衰老相关的盆底脆弱性。因此,在本研究中,我们旨在建立一种通过磁共振成像(MRI)分析盆底形态和肛提肌厚度来检测与年龄相关的盆底脆弱性的方法。
本研究共纳入328名年龄在20 - 91岁的健康女性参与者。利用骨盆的T2加权冠状面MR图像将盆底形态分为四种类型:翼型、浅V型、深V型和杯型。对每种类型分析年龄与肛提肌厚度之间的相关性。
观察到盆底形态随年龄从翼型转变为浅V型、深V型,最终变为杯型。此外,年龄与肛提肌厚度之间存在强烈的负相关(r = -0.75,P < 0.001)。肛提肌厚度按以下顺序逐渐降低:翼型、浅V型、深V型和杯型。
这种基于MRI的视觉分类方法为评估与年龄相关的盆底变化提供了一种简单实用的方法。直观评估盆底形态有助于检测与衰老相关的结构衰退。