医学
杜氏肌营养不良
臀肌
磁共振成像
纵向研究
肌内脂肪
回廊的
前瞻性队列研究
疾病严重程度
泌尿科
内科学
运动功能
肌营养不良
疾病
肌电图
肌肉疾病
外科
腿部肌肉
神经肌肉疾病
功能测试
核医学
退行性疾病
病例对照研究
放射科
病理
病理生理学
骨骼肌
作者
Yu Song,Yingkun Guo,Rong Xu,Ziqi Zhou,Ting Xu,Hang Fu,Ke Xu,Xuesheng Li,Xiaoyu Niu,Ying Ren,Yilin Zhang,Yunan Zhang,Huayan Xu,Xiaotang Cai
摘要
ABSTRACT Introduction/Aims Quantitative MRI (qMRI) of gluteal muscle groups for Duchenne muscular dystrophy (DMD) progression requires sensitive biomarkers and stage‐specific validation. This 12‐month study investigates qMRI responsiveness across disease stages and identifies early‐stage damage markers. Methods A total of 137 DMD patients (9.1 ± 1.8 years) and 32 controls (9.5 ± 2.0 years) were prospectively enrolled and underwent 3 T MRI (T1 mapping, 3‐point Dixon) assessing fat fraction (FF) and T1 in gluteal muscle groups (flexors, extensors, adductors, and abductors). Patients underwent North Star Ambulatory Assessment (NSAA) and timed functional tests and were classified by baseline NSAA scores into mild (76–100), moderate (51–75), and severe (0–50) groups. Standardized response mean (SRM) was used as a measure of disease progression responsiveness. Results Over 12 months, the severe group showed greater T1 and FF changes (except adductors) than mild/moderate groups, while FF changes of the adductors were only higher than the mild group. The moderate group had greater FF changes than the mild group ( p < 0.05). qMRI responsiveness to disease progression varied by disease stage, with FF of the abductors in the mild functional stable/decline group ( SRM = 1.016/1.445) and adductors in moderate/severe groups ( SRM = 1.606/1.633) showing the highest responsiveness. SRM for function scales remained below 0.8 in all DMD subgroups. qMRI biomarkers demonstrated potential for identifying early‐stage patients with or without functional decline. Discussion qMRI of the gluteal muscle group demonstrates higher responsiveness to DMD progression than function scales, with sensitivity varying by disease stage. qMRI biomarkers appear to be useful for assessing subclinical progression detection.
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