Quantitative calcium-based assessment of osteoporosis in dual-layer spectral CT

IF 3.2 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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引用次数: 0

Abstract

Objectives

To evaluate a novel calcium-only imaging technique (VCa) with subtracted bone marrow in osteoporosis in dual-layer CT (DLCT) compared to conventional CT images (CI) and dual-energy X-ray absorptiometry (DXA).

Material and methods

Images of a multi-energy CT phantom with calcium inserts, quantitative CT calibration phantom, and of 55 patients (mean age: 64.6 ± 11.5 years) were acquired on a DLCT to evaluate bone mineral density (BMD). CI, calcium-suppressed images, and VCa were calculated. For investigating the association of VCa and CI with DXA a subsample of 30 patients (<90 days between DXA and CT) was used. Multiple regression analysis was performed to identify further factors improving the prediction of DXA BMD.

Results

The calcium concentrations of the CT phantom inserts were significantly associated with CT numbers from VCa (R2 = 0.94) and from CI (R2 = 0.89–0.92). VCa showed significantly higher CT numbers than CI in the phantom (p ≤ 0.001) and clinical setting (p < 0.001). CT numbers from VCa were significantly associated with CI (R2 = 0.95, p < 0.001) and with DXA (R2 = 0.31, p = 0.007), whereas no significant association between DXA and CI was found. Prediction of DXA BMD based on CT numbers derived from VCa yielded R2 = 0.76 in multiple regression analysis. ROC for the differentiation of normal from pathologic BMD in VCa yielded an AUC of 0.7, and a cut-off value of 126HU (sensitivity: 0.90; specificity: 0.47).

Conclusion

VCa images showed better agreement with DXA and known calcium concentrations than CI, and could be used to estimate BMD. A VCa cut-off of 126 HU could be used to identify abnormal bone mineral density.

双层光谱 CT 中基于钙的骨质疏松症定量评估
材料和方法在双层 CT(DLCT)上获取带钙插入物的多能 CT 假体、定量 CT 校准假体和 55 名患者(平均年龄:64.6 ± 11.5 岁)的图像,以评估骨矿密度(BMD)。计算了 CI、钙抑制图像和 VCa。为了研究 VCa 和 CI 与 DXA 的关系,使用了 30 例患者的子样本(DXA 和 CT 相隔 90 天)。结果CT模型插入物中的钙浓度与VCa(R2 = 0.94)和CI(R2 = 0.89-0.92)的CT数字显著相关。在模型(p ≤ 0.001)和临床环境(p < 0.001)中,VCa 的 CT 数值明显高于 CI。VCa 的 CT 数量与 CI(R2 = 0.95,p <0.001)和 DXA(R2 = 0.31,p = 0.007)明显相关,而 DXA 与 CI 之间没有发现明显关联。在多元回归分析中,根据 VCa 得出的 CT 数值对 DXA BMD 的预测结果为 R2 = 0.76。区分 VCa 中正常和病理 BMD 的 ROC 的 AUC 为 0.7,临界值为 126HU(灵敏度:0.90;特异性:0.47)。126 HU 的 VCa 临界值可用于识别异常的骨矿物质密度。
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来源期刊
CiteScore
6.70
自引率
3.00%
发文量
398
审稿时长
42 days
期刊介绍: European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.
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