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CT 和 MRI 用于骨质疏松评估中的骨密度和小梁骨评分评估。

CT and MR for bone mineral density and trabecular bone score assessment in osteoporosis evaluation.

机构信息

Department of Radiology, Ajou University School of Medicine, 164, World Cup-Ro, Yeongtong-Gu, Suwon, 16499, South Korea.

Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea.

出版信息

Sci Rep. 2023 Oct 3;13(1):16574. doi: 10.1038/s41598-023-43850-z.

Abstract

Dual energy X-ray absorptiometry (DXA) is widely used modality for measuring bone mineral density (BMD). DXA is used to measure the quantitative areal BMD of bone, but has the disadvantage of not reflecting the bone architecture. To compensate for this disadvantage, trabecular bone score (TBS), a qualitative parameter of trabecular microarchitecture, is used. Meanwhile, there have been recent attempts to diagnose osteoporosis using the Hounsfield unit (HU) from CT and MR-based proton density fat fraction (PDFF) measurements. In our study, we aimed to find out the correlation between HU/PDFF and BMD/TBS, and whether osteoporosis can be diagnosed through HU/PDFF. Our study revealed that the HU value showed a moderate to good positive correlation with BMD and TBS. PDFF showed a fair negative correlation with BMD and TBS. In diagnosing osteopenia and osteoporosis, the HU value showed good performance, whereas the PDFF showed fair performance. In conclusion, both HU values and PDFF can play a role in predicting BMD and TBS. Both HU values and PDFF can be used to predict osteoporosis; further, CT is expected to show better results.

摘要

双能 X 射线吸收法(DXA)是一种广泛用于测量骨密度(BMD)的方法。DXA 用于测量骨的定量面积 BMD,但缺点是不能反映骨结构。为了弥补这一不足,使用了骨小梁分数(TBS)这一骨小梁微观结构的定性参数。同时,最近有人试图使用 CT 和基于磁共振的质子密度脂肪分数(PDFF)测量的亨氏单位(HU)来诊断骨质疏松症。在我们的研究中,我们旨在找出 HU/PDFF 与 BMD/TBS 之间的相关性,以及是否可以通过 HU/PDFF 来诊断骨质疏松症。我们的研究表明,HU 值与 BMD 和 TBS 呈中度至良好的正相关。PDFF 与 BMD 和 TBS 呈适度负相关。在诊断骨质疏松症和骨质疏松症时,HU 值表现出良好的性能,而 PDFF 则表现出适度的性能。总之,HU 值和 PDFF 都可以在预测 BMD 和 TBS 方面发挥作用。HU 值和 PDFF 均可用于预测骨质疏松症;此外,CT 有望取得更好的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/446d/10547782/851e9bb2b039/41598_2023_43850_Fig1_HTML.jpg

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