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绵羊腰椎CT纹理参数与骨质疏松关系的体外实验研究

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目的 建立绵羊体外腰椎骨质疏松模型,寻找具有鉴别意义的纹理参数并与双能X射线吸收法(DXA)测量的骨密度、骨灰分密度及骨灰度建立回归公式联系。方法 采用乙二胺四乙酸二钠(EDTA-Na2)溶液(0。4916 mmol/L)浸泡法,对120例绵羊腰椎L1~L3三联椎体进行浸泡脱钙,去除肌肉及附件骨,随机分成4组(A、B、C、D组),每组30例,室温下浸入10%甲醛溶液中24 h防腐。A、B、C、D组分别浸入制备好的EDTA-Na2溶液中脱钙0、4、9、15 d制备体外骨质疏松模型。对上述腰椎进行薄层CT扫描和DXA骨密度测量,并测量每个椎体的体积和椎体干重,之后于马弗炉中1100℃恒温煅烧6 h,测量骨灰分重量,计算骨灰分密度和骨灰度。采用MaZda纹理分析软件对上述CT图像椎体骨松质进行纹理分析,分别采用Fisher系数、分类错误概率联合平均相关系数、交互信息及三者的联合方法(FPM)进行纹理特征筛选,采用原始数据分析(RDA)、主成分分析(PCA)、线性分类分析(LDA)和非线性分类分析(NDA)对4组骨密度进行分类分析。对上述方法筛选的纹理参数分别与骨密度、骨灰度和骨灰分密度行相关分析,寻找与其相关性最强的纹理参数。以相关性最强的纹理参数为自变量,以骨密度、骨灰度和骨灰分密度为因变量进行一元和多元线性回归分析,获得回归方程。结果 随着脱钙时间的延长,CT图像显示骨皮质逐渐变薄,骨松质密度减低,骨小梁变稀疏。FPM结合NDA的鉴别能力最强,错判率仅为2。5%。其中灰度共生矩阵中的对比度(Contrast)与骨灰度呈强负相关(r=-0。938)。灰度共生矩阵中的熵(Entropy)与骨灰分密度(r=-0。927)和骨密度(r=-0。896)呈强负相关。一元线性回归方程分别表示为:骨灰度=0。692-0。002×Contrast,骨灰分密度=0。802-0。121×Entropy,骨密度=1。301-0。200×Entropy。结论 绵羊腰椎CT薄层图像的部分纹理参数与骨密度相关参数间存在明显相关性,可以建立回归公式联系。
In vitro experimental study on relationship between bone texture parameters in sheep lumbar CT and osteoporosis
Objective To establish the sheep model of lumbar spine osteoporosis in vitro,and to search the texture parameters with identification significance and establish its regression formula relation with DXA measured bone mineral density,bone ash density and bone ash degree.Methods The L1-L3 trigeminy verte-bral body in 120 sheep conducted the immersion and decalcification by EDTA-Na2 solution (0.4916 mmol/L) immersion method,the muscles and attachment bone were removed.Then they were randomly divided into 4 groups (group A,B,C and D),30 cases in each group.They were immersed in 10% formaldehyde solution for anticorrosion.The group A,B,C and D were immersed in the prepared EDTA-Na2 solution for decalcification 0,4,9,15 d to prepare the in vitro osteoporosis models.Thin-slice CT scan and DXA bone density measure-ment on the above-mentioned lumbar vertebrae were performed,and the volume and dry weight of each verte-bral body were measured,and then calcined at a constant temperature of 1100 ℃ in a muffle furnace for 6 h to measure the weight of ashes.The bone ash weight,bone ash density and bone ash degree were measured.The MaZda texture analysis software was used to conduct the texture analysis on the cancellous substance of the vertebral body in the above CT images,and the texture features were screened by the Fisher coefficient,classi-fication error probability combined with average correlation coefficient,interactive information and the three combined method.The 4 groups of bone mineral density conducted the classification analysis by the original data analysis (ODA),principal component analysis (PCA),linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA).The correlation analysis between the texture parameters screened by the above method with the bone density,bone grey degree and bone ash density for searching the texture parameters with strongest correlation.The texture parameters with strongest correlation served as the independent varia-bles,the bone density,bone grey degree and bone ash density as the dependent variables,and the unitary and binary linear regression analyses were performed for obtaining the regression equation.Results With the pro-longation of decalcification time,the CT images showed that the bone cortex gradually thinned,the cancellous bone density was decreased,and the trabecular bone became sparse.The identification ability of FPM com-bined with NDA was strongest,and the false judgment rate was only 2.5%.Among them,the contrast in the gray symbiosis matrix had strongly negative correlation with the bone gray degree (r=-0.938).The entropy in the gray co-occurrence matrix had strongly negative correlation with the bone ash density and bone mineral density (r=-0.927,-0.896).The unitary linear regression equation was expressed as bone grey degree=0.692-0.002×Contrast,bone ash density=0.802-0.121×Entropy,bone density=1.301-0.200×Entro-py.Conclusion The significant correlation exists between some texture parameters and bone mineral density related parameters in thin slice CT images of sheep lumbar spine,which could establish a regression formula relationship.

texture analysisosteoporosisregression equationssheepparameters

高玉杰、张伟、姜晓彤、司旭、李雨奇

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赤峰市医院核医学科,内蒙古赤峰 024000

纹理分析 骨质疏松 回归方程 绵羊 参数

2024

重庆医学
重庆市卫生信息中心,重庆市医学会

重庆医学

CSTPCD
影响因子:1.797
ISSN:1671-8348
年,卷(期):2024.53(14)