Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) for evaluation of early bone mass changes in ageing osteoporosis patients

Yonggui Yang , Fang Chen , Xiufen Wu , Xinyu Xu , Pu-Yeh Wu
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Abstract

This study explored the application value of iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) technology in the early diagnosis of ageing osteoporosis (OP). 172 participants were enrolled and underwent magnetic resonance imaging (MRI) examinations on a 3.0T scanner. 100 cases were included in the normal group (50 males and 50 females; mean age: 45 years; age range: 20–84 years). 33 cases were included in the osteopenia group (17 males and 16 females; mean age: 55 years; age range: 43–83 years). 39 cases were included in the OP group (19 males and 20 females; mean age: 58 years; age range: 48–82 years). Conventional T1WI and T2WI were first obtained, followed by 3D-IDEAL-IQ-acquisition. Fat fraction (FF) and apparent transverse relaxation rate (R2) results were automatically calculated from IDEAL-IQ-images on the console. Based on T1W and T2W-images, 300 ROIs for each participant were manually delineated in L1-L5 vertebral bodies of five middle slices. In each age group of all normal subjects, each parameter was significantly correlated with gender. In male participants from the normal, osteopenia, and OP groups, statistical analysis revealed F values of 11319.292 and 180.130 for comparisons involving FF and R2 values, respectively (all p < 0.0001). The sensitivity and specificity of FF values were 0.906 and 0.950, 0.994 and 0.997, 0.865 and 0.820, respectively. For R2, they were 0.665 and 0.616, 0.563 and 0.519, 0.571 and 0.368, respectively. In female participants from the normal, osteopenia, and OP-groups, statistical analysis revealed F values of 12461.658 and 548.274 for comparisons involving FF and R2 values, respectively (all p < 0.0001). The sensitivity and specificity of FF values were 0.985 and 0.991, 0.996 and 0.996, 0.581 and 0.678, respectively. For R2, they were 0.698 and 0.730, 0.603 and 0.665, 0.622 and 0.525, respectively. Significant differences were indicated in the quantitative values among the three groups. FF value had good performance, while R2 value had poor performance in discriminating osteopenia and OP-groups. Overall, the IDEAL-IQ technique offers specific reference indices that enable noninvasive and quantitative assessment of lumbar vertebrae bone metabolism, thereby providing diagnostic information for OP.
基于回声不对称和最小二乘估计(IDEAL-IQ)的水和脂肪迭代分解评估老年骨质疏松患者早期骨量变化
本研究探讨了基于回声不对称和最小二乘估计(IDEAL-IQ)技术的水脂肪迭代分解在老年骨质疏松症(OP)早期诊断中的应用价值。172名参与者在3.0T扫描仪上接受了磁共振成像(MRI)检查。正常组100例,男50例,女50例;平均年龄:45岁;年龄范围:20-84岁)。骨量减少组33例,男17例,女16例;平均年龄:55岁;年龄范围:43-83岁)。OP组39例,男19例,女20例;平均年龄:58岁;年龄范围:48-82岁)。首先获得常规T1WI和T2WI,然后进行3d - ideal - iq采集。脂肪分数(FF)和表观横向松弛率(R2 *)结果由控制台上的ideal - iq图像自动计算。基于T1W和t2w图像,在L1-L5椎体的5个中间切片中,人工圈定每个参与者的300个roi。在所有正常受试者的各年龄组中,各参数均与性别显著相关。在正常、骨质减少和OP组的男性参与者中,统计分析显示,涉及FF和R2 *值的比较F值分别为11319.292和180.130 (p <;0.0001)。FF值的敏感性和特异性分别为0.906和0.950、0.994和0.997、0.865和0.820。R2 *分别为0.665与0.616、0.563与0.519、0.571与0.368。在正常组、骨质减少组和op组的女性参与者中,统计分析显示,涉及FF和R2 *值的比较F值分别为12461.658和548.274(所有p <;0.0001)。FF值的敏感性和特异性分别为0.985和0.991、0.996和0.996、0.581和0.678。R2 *分别为0.698和0.730、0.603和0.665、0.622和0.525。三组间定量值差异有统计学意义。FF值在区分骨质减少组和op组上表现较好,R2 *值表现较差。总的来说,IDEAL-IQ技术提供了具体的参考指标,可以无创、定量地评估腰椎骨代谢,从而为OP提供诊断信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Magnetic Resonance Letters
Magnetic Resonance Letters Analytical Chemistry, Spectroscopy, Radiology and Imaging, Biochemistry, Genetics and Molecular Biology (General)
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