Evaluating bone mineral density in osteoporotic vertebral compression fractures: the clinical utility of anterior column Hounsfield units.

IF 3.9 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Frontiers in Endocrinology Pub Date : 2025-03-20 eCollection Date: 2025-01-01 DOI:10.3389/fendo.2025.1552780
Jiabao Chen, Han Zheng, Haotian Li, Qingsong Yu, Yanhong Li, Huangda An, Lei Ma
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Abstract

Study design: Retrospective radiological analysis.

Objective: This study aimed to evaluate the clinical utility of anterior column Hounsfield units (HU) in assessing bone mineral density (BMD) in patients with osteoporotic vertebral compression fractures (OVCFs) and to investigate its potential advantages over traditional measurement methods.

Method: In this retrospective study, we analyzed data from 106 patients with acute OVCFs treated between January 2020 and June 2024. Inclusion criteria encompassed single-segment fractures from T10 to L2, with clear imaging results. HU values were measured from computed tomography (CT) scans, specifically targeting the anterior column of the vertebral body. Interobserver reliability was assessed via intraclass correlation coefficients (ICCs). Correlations between HU values, dual-energy X-ray absorptiometry (DEXA) results, and vertebral compression degrees were analyzed using Pearson correlation and receiver operating characteristic (ROC) curve analysis.

Results: The average HU values were significantly lower in the anterior column (50.39 ± 21.62 HU) compared to the middle column (63.12 ± 25.14 HU). The anterior column HU values showed a strong positive correlation with DEXA T-scores (r = 0.643) and BMD (r = 0.656). The degree of vertebral compression also correlated positively with both HU values and DEXA results, with the anterior column HU demonstrating the highest correlation (r = 0.727). ROC analysis indicated that the anterior column HU value had the largest area under the curve (AUC = 0.913) for predicting severe OVCFs, with an optimal cutoff of 59.07 HU.

Conclusion: The anterior column HU value serves as a superior predictor of BMD in patients with OVCFs compared to traditional methods. This study highlights the potential of using anterior column HU measurements to guide clinical decision-making regarding treatment options for OVCF patients, suggesting a shift towards more nuanced assessment strategies in osteoporosis management. Further research with larger sample sizes is warranted to validate these findings and explore the comprehensive application of HU values in osteoporosis evaluation.

评估骨质疏松性椎体压缩骨折的骨质密度:前柱 Hounsfield 单位的临床实用性。
研究设计:回顾性放射学分析。目的:本研究旨在评估前柱Hounsfield单位(HU)在评估骨质疏松性椎体压缩性骨折(OVCFs)患者骨密度(BMD)方面的临床应用,并探讨其相对于传统测量方法的潜在优势。方法:在这项回顾性研究中,我们分析了2020年1月至2024年6月期间治疗的106例急性OVCFs患者的数据。纳入标准包括T10至L2单节段骨折,影像学结果清晰。HU值通过计算机断层扫描(CT)测量,特别针对椎体前柱。通过类内相关系数(ICCs)评估观察者间的信度。采用Pearson相关分析和受试者工作特征(ROC)曲线分析,分析HU值、双能x线吸收仪(DEXA)结果与椎体压缩程度之间的相关性。结果:前柱平均HU值(50.39±21.62 HU)明显低于中柱(63.12±25.14 HU)。前柱HU值与DEXA t -评分(r = 0.643)和BMD (r = 0.656)呈正相关。椎体受压程度也与HU值和DEXA结果呈正相关,其中前柱HU相关性最高(r = 0.727)。ROC分析显示,预测严重ovcf的曲线下面积最大(AUC = 0.913),最佳临界值为59.07 HU。结论:与传统方法相比,前柱HU值可以更好地预测OVCFs患者的骨密度。这项研究强调了使用前柱HU测量来指导OVCF患者治疗方案的临床决策的潜力,提示骨质疏松症管理中向更细致的评估策略转变。进一步的研究需要更大的样本量来验证这些发现,并探索HU值在骨质疏松症评价中的综合应用。
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来源期刊
Frontiers in Endocrinology
Frontiers in Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.70
自引率
9.60%
发文量
3023
审稿时长
14 weeks
期刊介绍: Frontiers in Endocrinology is a field journal of the "Frontiers in" journal series. In today’s world, endocrinology is becoming increasingly important as it underlies many of the challenges societies face - from obesity and diabetes to reproduction, population control and aging. Endocrinology covers a broad field from basic molecular and cellular communication through to clinical care and some of the most crucial public health issues. The journal, thus, welcomes outstanding contributions in any domain of endocrinology. Frontiers in Endocrinology publishes articles on the most outstanding discoveries across a wide research spectrum of Endocrinology. The mission of Frontiers in Endocrinology is to bring all relevant Endocrinology areas together on a single platform.
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