摘要
目的比较CT能谱成像与磁共振IDEAL-IQ技术对骨髓脂肪含量的测定情况,探讨CT能谱成像在骨质疏松辅助诊断中的应用价值。方法分别采用能谱CT及磁共振机对8岁龄的老年雌性山羊分别进行脊柱GSI扫描和IDEAL-IQ序列扫描,并将CT能谱成像测定的椎体松质骨内的脂肪-羟基磷灰石(fat-HAP)基物质对含量及磁共振IDEAL-IQ技术测定的脂肪分数,分别与病理切片高倍镜视野下松质骨内的脂肪细胞数进行相关性分析。相关关系采用Pearson相关分析。结果CT能谱成像测得fat-HAP基物质对含量为951.10~984.78(967.45±9.84),磁共振IDEAL-IQ技术测得脂肪分数为0.35~0.55(0.45±0.05),病理切片高倍镜视野下脂肪细胞数为13~30.33(21.38±4.30)。相关分析结果显示,CT能谱成像fat-HAP基物质对含量、磁共振IDEAL-IQ技术脂肪分数均与病理切片脂肪细胞数存在明显相关性(r=0.560、0.580,均P<0.05),但CT能谱成像fat-HAP基物质对含量与磁共振IDEAL-IQ技术脂肪分数的相关性无统计学意义(r=0.300,P>0.05)。结论CT能谱成像检测fat-HAP基物质对含量,可以一定程度反映椎体内脂肪细胞的数量,从而间接反映骨质疏松的程度,有可能作为一种新的影像诊断思路应用于临床。
Objective To compare the measurement of bone marrow fat content by energy spectrum CT imaging and MRI IDEAL-IQ sequence technology,and to explore the application of energy spectrum CT imaging in the auxiliary diagnosis of osteoporosis.Methods GSI scan and IDEALIQ scan were performed on the spine of 8-year-old female goats.The content of fat-hydroxyapatite(fat-HAP)in the cancellous bone of the vertebral body was measured by CT energy spectrum imaging,and the fat fraction of the cancellous bone of the vertebral body was measured by magnetic resonance IDEALIQ technology.The number of adipose cells in cancellous bone was calculated at high magnification.The correlation among fat HAP content,fat fraction and the number of adipocyte were analyzed by Pearson correlation analysis.Results The content of fat-HAP was 951.10~984.78(967.45±9.84),the value of fat fraction was 0.35~0.55(0.45±0.05),and the number of adipocyte was 13~30.33(21.38±4.30).The results of correlation analysis showed that the content of fat-Hap and the fat fraction were significantly correlated with the number of adipocyte(r=0.560、0.580,P<0.05),but there was no significant correlation between fat-HAP and fat fraction(r=0.300,P>0.05).Conclusion The content of fat HAP based substance pair detected by CT energy spectrum imaging can reflect the number of fat cells in the vertebral body to a certain extent,and indirectly reflect the degree of osteoporosis,which may be used in clinical as a new imaging diagnosis idea.
作者
宋飞鹏
张进
胥毅
丁明辉
王新文
刘旭
孙凯
Song Feipeng;Zhang Jin;Xu Yi;Ding Minghui;Wang Xinwen;Liu Xu;Sun Kai(Department of Radiology,The Second Hospital of Shanxi Medical University,Taiyuan 030001,China;Department of Nuclear Medicine,The Second Hospital of Shanxi Medical University,Taiyuan 030001,China)
出处
《中华老年病研究电子杂志》
2020年第1期27-30,共4页
Chinese Journal of Geriatrics Research(Electronic Edition)
作者简介
通信作者:宋飞鹏,Email:15834055634@163.com
