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基于双能 CT 的椎体及椎旁肌退变的定量研究:与骨密度的相关性。

Quantitative Study of Vertebral Body and Paravertebral Muscle Degeneration Based on Dual-Energy Computed Tomography: Correlation With Bone Mineral Density.

机构信息

From the Departments of Radiology.

Spinal Surgery, Honghui Hospital Affiliated Xi'an Jiaotong University, Xi'an, China.

出版信息

J Comput Assist Tomogr. 2023;47(1):86-92. doi: 10.1097/RCT.0000000000001388. Epub 2022 Oct 10.

DOI:10.1097/RCT.0000000000001388
PMID:36668981
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9869939/
Abstract

OBJECTIVES

This study aimed to quantify the degeneration of the vertebral body and paravertebral muscles using dual-energy computed tomography (DECT) and study its relationship with osteoporosis.

METHODS

A total of 130 patients with chronic low back pain were included in this study, and DECT scanning of the lumbar region was undertaken prospectively. By placing a standard quantitative computed tomography corrected phantom under the waist during the DECT procedure, bone mineral density (BMD) and the following quantitative parameters were obtained: calcium density (CaD), vertebral fat fraction (VFF), psoas major area, psoas major fat fraction, erector spinalis area, and erector spinalis fat fraction (ESFF). Independent sample t test and 1-way analysis of variance were used between different age-BMD groups. Pearson test was applied to determine correlations for all measurements, and a mathematical model of BMD was established through regression analysis.

RESULTS

Calcium density, VFF, psoas major area, psoas major fat fraction, erector spinalis area, and ESFF were significantly different among the age-BMD groups (P < 0.05), and BMD was significantly correlated with these parameters (P < 0.05). Calcium density, VFF, and ESFF were included in the BMD regression equation: BMD = 69.062 + 11.637 × CaD - 1.018 × VFF - 0.726 × ESFF (R2 = 0.860, F = 125.979, P < 0.001).

CONCLUSIONS

Degeneration of the vertebral body and paravertebral muscles can be quantitatively analyzed using DECT, and CaD, VFF, and ESFF were independent influencing factors of BMD.

摘要

目的

本研究旨在使用双能 CT(DECT)定量评估椎体和椎旁肌肉的退变,并研究其与骨质疏松症的关系。

方法

本研究共纳入 130 例慢性腰痛患者,前瞻性行腰椎 DECT 扫描。在 DECT 检查过程中,在腰部下方放置标准定量 CT 校正体模,以获得骨密度(BMD)和以下定量参数:钙密度(CaD)、椎体脂肪分数(VFF)、腰大肌面积、腰大肌脂肪分数、竖脊肌面积和竖脊肌脂肪分数(ESFF)。在不同年龄-BMD 组之间使用独立样本 t 检验和单因素方差分析。对所有测量值进行 Pearson 检验以确定相关性,并通过回归分析建立 BMD 的数学模型。

结果

不同年龄-BMD 组之间 CaD、VFF、腰大肌面积、腰大肌脂肪分数、竖脊肌面积和 ESFF 差异均有统计学意义(P < 0.05),且 BMD 与这些参数显著相关(P < 0.05)。CaD、VFF 和 ESFF 被纳入 BMD 回归方程:BMD = 69.062 + 11.637 × CaD - 1.018 × VFF - 0.726 × ESFF(R2 = 0.860,F = 125.979,P < 0.001)。

结论

DECT 可定量分析椎体和椎旁肌肉的退变,CaD、VFF 和 ESFF 是 BMD 的独立影响因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/e8c78f6c4407/jcat-47-086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/f47618898b62/jcat-47-086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/8279c84f07c6/jcat-47-086-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/87551dca180b/jcat-47-086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/e8c78f6c4407/jcat-47-086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/f47618898b62/jcat-47-086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/8279c84f07c6/jcat-47-086-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/87551dca180b/jcat-47-086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a537/9869939/e8c78f6c4407/jcat-47-086-g004.jpg

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