摘要
为探究氢质子MR波谱(MRS)的脂肪分数(FF)、脂水比(LWR)及双回波同反相位信号比值(SIR)与腰椎定量CT(QCT)骨矿物质密度(BMD)的相关性,并评估MRS、双回波同反相位成像对腰椎骨质减低及骨质疏松的诊断价值,本研究对因腰腿痛就诊的120名患者资料进行了回顾性分析,根据QCT分类标准将患者分为正常组、骨量减少组和骨质疏松组。所行MRI检查包括MRS和双回波同反相位成像,测量腰2~4椎体FF、LWR及双回波同反相位SIR。结果发现,FF、LWR、SIR与BMD呈负相关;FF、LWR与SIR呈正相关。FF、LWR、SIR、BMD在骨量正常组、骨量减少组和骨质疏松组任意两组间差异均有显著性(P<0.001)。本研究表明MRS及双回波同反相位成像可通过无创无辐射检测骨髓脂肪组织而间接反映骨代谢情况。
In this paper,we investigate the correlation between bone mineral density(BMD)gotten by lumbar quantitative computed tomography(QCT)with fat fraction(FF),lipid water ratio(LWR)and signal intensity ratio(SIR).Moreover,we assessed the diagnostic value of magnetic resonance spectroscopy(MRS)and in-phase(IP)/opposed-phase(OP)sequence on lumbar osteopenia and osteoporosis.The results of 120 patients who underwent lumbar QCT and MRI examinations due to lumbago and leg pain were analyzed retrospectively.According to the BMD classification criteria of QCT,the patients were divided into three groups including the normal group,osteopenia group and osteoporosis group.MRI examination included MRS and dual-echo IP/OP sequence,and the FF,LWR and IP/OP SIR of 2-4 lumbar vertebras were measured.Pearson correlation analysis was used to evaluate the correlations among FF,LWR,SIR and BMD.One-way analysis of variance was used to compare the differences of FF,LWR,SIR among the three groups.Results showed that the FF,LWR and SIR were negatively correlated with BMD which detected by QCT.FF and LWR were positively correlated with SIR.Significant differences of FF,LWR,SIR and BMD were found among three groups.As a conclusion,MRS and IP/OP sequence indirectly reflect the bone metabolism by detecting bone marrow adipose without invasiveness and radiation.
作者
蒋树兵
陈伯雄
胡根文
JIANG Shubing;CHEN Boxiong;HU Genwen(Department of Radiology,The Third People’s Hospital of Longgang District,Shenzhen 518115,Guangdong,P.R.China;Department of Radiology,Shenzhen People’s Hospital/2nd Clinical Medical College of Ji’nan University,Shenzhen 518000,Guangdong,P.R.China)
出处
《影像科学与光化学》
CAS
北大核心
2021年第2期202-206,共5页
Imaging Science and Photochemistry
基金
深圳市龙岗区2018年度卫生科技计划项目(LGKCYLWS2018000085)资助。