【摘要】 目的 探讨基于非对称回波的最小二乘估算法迭代水脂分离(IDEAL-IQ)定量技术测量膝骨关节炎(KOA)患者髌下脂肪垫(IPFP)及膝关节周围肌肉脂肪分数(FF)与KOA程度的价值。方法 本研究共纳入患者106例,根据Kellgren-ILawrence分级(KILG)分为无KOA组、轻度KOA组和重度KOA组。应用IDEAL-IQ技术测量IPFP、膝关节周围肌肉FF值,分析FF值与KOA的相关性,评估其诊断KOA的价值。结果 重度KOA组和轻度KOA组显示较低的IPFP FF值及较高的膝关节周围肌肉FF值。IPFP及膝关节周围部分肌肉[股内侧肌(VM)、股外侧肌(VL)、半膜肌(SE)、缝匠肌(SA)、腓肠肌内侧头(Gas(media))、腓肠肌外侧头(Gas(lateral))] FF值与KOA程度之间存在相关性(r/r_s=-0.708、0.737、0.567、0.468、0.280、0.491、0.378),诊断KOA的曲线下面积(AUC)分别为0.850、0.950、0.842、0.759、0.692、0.763、0.725。结论 IDEAL-IQ序列可对KOA患者IPFP及膝关节周围肌肉脂肪浸润定量评估,对KOA发展及严重程度的预测有一定的潜力。更多还原

【Abstract】 Objective To explore the value of measuring infrapatellar fat pad(IPFP) and muscle fat fraction(FF) around the knee joint based on iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification(IDEAL-IQ)quantitative technology in patients with knee osteoarthritis(KOA) for the degree of KOA.Methods A total of 106 participants were included in this study.Participants were grouped based on Kellgren-Lawrence grading(KLG),divided into no KOA group,mild KOA group and severe KOA group.The IDEAL-IQ technology was used to measure FF values of IPFP and muscles around the knee joint,the correlation between FF values and KOA was analyzed,and its value in diagnosing KOA was evaluated.Results In severe KOA group and mild KOA group can be observed in the way of lower IPFP FF values and higher FF values muscles around the knee joint.The FF values of IPFP and part of the muscles around the knee joint [vastus medialis muscle(VM),vastus lateralis muscle(VL),semimembranosus(SE),sartorius(SA),medial head of gastrocnemius muscle(Gas(media)),lateral head of gastrocnemius muscle(Gas(lateral))] were correlated with the degree of KOA(r/r_s=-0.708,0.737,0.567,0.468,0.280,0.491,0.378),the area under the curve(AUC) for diagnosing KOA were 0.850,0.950,0.842,0.759,0.692,0.763,and 0.725,respectively.Conclusion IDEAL-IQ sequence can quantitatively assess fat infiltration of IPFP and muscles around the knee joint in patients with KOA,and has certain potential to predict the development and severity of KOA.更多还原