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Abstract：
BACKGROUND: Osteoporosis (OP) is a common chronic metabolic bone disease characterized by decreased bone mineral content and microstructural damage, leading to increased fracture risk. Traditional methods for measuring bone density have limitations in accurately distinguishing vertebral bodies and are influenced by vertebral degeneration and surrounding tissues. Therefore, novel methods are needed to quantitatively assess changes in bone density and improve the accurate diagnosis of OP.
METHODS: This study aimed to explore the applicative value of the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron (IDEAL-IQ) sequence combined with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the diagnosis of osteoporosis. Data from 135 patients undergoing dual-energy X-ray absorptiometry (DXA), IDEAL-IQ, and IVIM-DWI were prospectively collected and analyzed. Various parameters obtained from IVIM-DWI and IDEAL-IQ sequences were compared, and their diagnostic efficacy was evaluated.
RESULTS: Statistically significant differences were observed among the three groups for FF, R2*, f, D, DDC values, and BMD values. FF and f values exhibited negative correlations with BMD values, with r=-0.313 and - 0.274, respectively, while R2*, D, and DDC values showed positive correlations with BMD values, with r = 0.327, 0.532, and 0.390, respectively. Among these parameters, D demonstrated the highest diagnostic efficacy for osteoporosis (AUC = 0.826), followed by FF (AUC = 0.713). D* exhibited the lowest diagnostic performance for distinguishing the osteoporosis group from the other two groups. Only D showed a significant difference between genders. The AUCs for IDEAL-IQ, IVIM-DWI, and their combination were 0.74, 0.89, and 0.90, respectively.
CONCLUSIONS: IDEAL-IQ combined with IVIM-DWI provides valuable information for the diagnosis of osteoporosis and offers evidence for clinical decisions. The superior diagnostic performance of IVIM-DWI, particularly the D value, suggests its potential as a more sensitive and accurate method for diagnosing osteoporosis compared to IDEAL-IQ. These findings underscore the importance of integrating advanced imaging techniques into clinical practice for improved osteoporosis management and highlight the need for further research to explore the full clinical implications of these imaging modalities.
METHODS: This study aimed to explore the applicative value of the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron (IDEAL-IQ) sequence combined with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the diagnosis of osteoporosis. Data from 135 patients undergoing dual-energy X-ray absorptiometry (DXA), IDEAL-IQ, and IVIM-DWI were prospectively collected and analyzed. Various parameters obtained from IVIM-DWI and IDEAL-IQ sequences were compared, and their diagnostic efficacy was evaluated.
RESULTS: Statistically significant differences were observed among the three groups for FF, R2*, f, D, DDC values, and BMD values. FF and f values exhibited negative correlations with BMD values, with r=-0.313 and - 0.274, respectively, while R2*, D, and DDC values showed positive correlations with BMD values, with r = 0.327, 0.532, and 0.390, respectively. Among these parameters, D demonstrated the highest diagnostic efficacy for osteoporosis (AUC = 0.826), followed by FF (AUC = 0.713). D* exhibited the lowest diagnostic performance for distinguishing the osteoporosis group from the other two groups. Only D showed a significant difference between genders. The AUCs for IDEAL-IQ, IVIM-DWI, and their combination were 0.74, 0.89, and 0.90, respectively.
CONCLUSIONS: IDEAL-IQ combined with IVIM-DWI provides valuable information for the diagnosis of osteoporosis and offers evidence for clinical decisions. The superior diagnostic performance of IVIM-DWI, particularly the D value, suggests its potential as a more sensitive and accurate method for diagnosing osteoporosis compared to IDEAL-IQ. These findings underscore the importance of integrating advanced imaging techniques into clinical practice for improved osteoporosis management and highlight the need for further research to explore the full clinical implications of these imaging modalities.
摘要：
背景：骨质疏松症（OP）是一种常见的慢性代谢性骨病，其特征是骨矿物质含量降低和微结构损伤，导致骨折风险增加。传统的骨密度测量方法在准确区分椎体方面存在局限性，并且受到椎体退变和周围组织的影响。因此,需要新的方法来定量评估骨密度的变化并提高OP的准确诊断。
方法：本研究旨在探讨具有回声不对称和最小二乘估计铁（IDEAL-IQ）序列的水和脂肪迭代分解结合体素内不相干运动扩散加权成像（IVIM-DWI）诊断骨质疏松症的应用价值。数据来自135名接受双能X线骨密度仪（DXA）的患者，理想智商,前瞻性地收集和分析IVIM-DWI。比较了从IVIM-DWI和IDEAL-IQ序列获得的各种参数，并对其诊断效能进行评价。
结果：观察到三组之间FF的统计学差异，R2*,f,D,DDC值,和BMD值。FF和f值与BMD值呈负相关，r分别为-0.313和-0.274，而R2*，D,DDC值与BMD值呈正相关，r分别为0.327、0.532和0.390。在这些参数中，D对骨质疏松症的诊断效能最高（AUC=0.826），其次是FF（AUC=0.713）。D*在区分骨质疏松症组与其他两组方面表现出最低的诊断性能。只有D在性别之间表现出显著差异。理想智商的AUC，IVIM-DWI,其组合分别为0.74、0.89和0.90。
结论：IDEAL-IQ联合IVIM-DWI为骨质疏松症的诊断提供了有价值的信息，并为临床决策提供了依据。IVIM-DWI的卓越诊断性能，特别是D值，提示与IDEAL-IQ相比，其作为诊断骨质疏松症更灵敏，更准确的方法的潜力。这些发现强调了将先进的成像技术整合到临床实践中以改善骨质疏松症管理的重要性，并强调需要进一步研究以探索这些成像方式的全部临床意义。
方法：本研究旨在探讨具有回声不对称和最小二乘估计铁（IDEAL-IQ）序列的水和脂肪迭代分解结合体素内不相干运动扩散加权成像（IVIM-DWI）诊断骨质疏松症的应用价值。数据来自135名接受双能X线骨密度仪（DXA）的患者，理想智商,前瞻性地收集和分析IVIM-DWI。比较了从IVIM-DWI和IDEAL-IQ序列获得的各种参数，并对其诊断效能进行评价。
结果：观察到三组之间FF的统计学差异，R2*,f,D,DDC值,和BMD值。FF和f值与BMD值呈负相关，r分别为-0.313和-0.274，而R2*，D,DDC值与BMD值呈正相关，r分别为0.327、0.532和0.390。在这些参数中，D对骨质疏松症的诊断效能最高（AUC=0.826），其次是FF（AUC=0.713）。D*在区分骨质疏松症组与其他两组方面表现出最低的诊断性能。只有D在性别之间表现出显著差异。理想智商的AUC，IVIM-DWI,其组合分别为0.74、0.89和0.90。
结论：IDEAL-IQ联合IVIM-DWI为骨质疏松症的诊断提供了有价值的信息，并为临床决策提供了依据。IVIM-DWI的卓越诊断性能，特别是D值，提示与IDEAL-IQ相比，其作为诊断骨质疏松症更灵敏，更准确的方法的潜力。这些发现强调了将先进的成像技术整合到临床实践中以改善骨质疏松症管理的重要性，并强调需要进一步研究以探索这些成像方式的全部临床意义。
