腰椎脂肪定量MR (IDEAL-IQ)技术在骨质疏松症中的应用
The Application of MR IDEAL-IQ in Osteoporosis
投稿时间:2018-12-14  修订日期:2019-03-20
DOI:
中文关键词:  磁共振成像  脂肪定量  骨质疏松  腰椎  骨密度
英文关键词:the osteoporosis  MR IDEAL-IQ  bone mineral density  the lumbar vertebrae
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作者单位邮编
王开香 江苏大学附属武进人民医院 213002
郑建刚 江苏大学附属武进人民医院 
顾勇坚 江苏大学附属武进人民医院 
许建兴 江苏大学附属武进人民医院 
刘良卿 江苏大学附属武进人民医院 
梅莉* 江苏大学附属武进人民医院 213002
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中文摘要:
      目的:初步研究MR (IDEAL-IQ)技术测量的腰椎椎体骨髓脂肪分数(FF)在骨质疏松症临床诊断中的应用价值。方法:收集2018年6月至2018年11月在我院同时行腰椎脂肪定量MR检查与双能X线骨密度检查的患者,测量(L1-4)椎体脂肪分数和骨密度(常规用T值),进行Spearman相关分析。根据T值,将患者分为骨量正常组、骨量减少组和骨质疏松组。用单因素方差分析FF值在3组间的差异,用Mann-Whitney非参数检验分析每两组间差异,最后基于受试者工作特征曲线(ROC曲线)分析FF值对骨质疏松症的诊断效能。结果:总共收集病例55例,其中47例纳入数据分析。脂肪分数(FF)与骨密度值呈负相关(R=-0.66,p<0.05),随着椎体骨密度的增高,脂肪分数降低。骨质疏松组与其它两组之间均有显著性差异(P<0.05),骨质减少组与正常组之间的p值为0.1,没有统计学差异,ROC曲线下面积(AUC)为0.79,选择阈值48.05%来诊断骨质疏松症,敏感性为0.871,特异性为0.625。结论:MR IDEAL-IQ技术通过快速精准评估腰椎椎体骨髓脂肪含量的变化,能够为骨质疏松症的诊断提供有价值的信息。
英文摘要:
      Objective: To evaluate the clinical value of vertebral bone marrow fat fraction (FF) measured by MR (IDEAL-IQ) in the diagnosis of osteoporosis. Methods: Patients who underwent spinal fat quantitative examination with MR(IDEAL-IQ) and dual-energy X-ray absorptiometry (DXA) were included from June to November 2018. Patients were categorized into 3 groups (the normal, osteopenia and osteoporosis) depending on the bone mineralization levels (T-score) derived from DXA. Spearmanρ test was used to investigate the correlation between FF and BMD. One-way ANOVA was used to analyze the differences among the 3 groups. Mann-Whitney test was performed to compare the difference between two groups. FF cutoff value for the prediction to osteoporosis was evaluated with the receiver operating characteristic curve analysis. Results: Forty-seven patients were collected. The differences of FF in the 3 groups were statistically significant (P<0.05). The marrow fat of the osteoporosis increased as bone density decrease and the correlation coefficients between FF and BMD was R=-0.66 (P<0.05). The areas under the ROC curve for FF was0.79 (95% confidence interval (0.65-0.94).The optimal cutoff point was obtained as 48.05% and the sensitivity and specificity were 0.871and 0.625, respectively. Conclusion: IDEAL-IQ could be used as an alternative technique to detect reduced bone mineralization of the vertebrae by estimation of FF value.
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