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Simple parameters of synthetic MRI for assessment of bone density in patients with spinal degenerative disease

医学 接收机工作特性 退行性疾病 核医学 腰椎 腰椎 定量计算机断层扫描 骨病 骨矿物 骨质疏松症 放射科 前瞻性队列研究 腰椎 磁共振成像 骨密度 脊柱融合术 曲线下面积 强度(物理) 再现性 射线照相术 密度测定 曲线下面积 金标准(测试) 椎骨
作者
Hsuan-Kan Chang,Tun‐Wei Hsu,Johnson Ku,Jason Ku,Jau‐Ching Wu,Jiing‐Feng Lirng,Shih-Ming Hsu
出处
期刊:Journal of neurosurgery [Journal of Neurosurgery Publishing Group]
卷期号:36 (3): 414-421 被引量:13
标识
DOI:10.3171/2021.6.spine21666
摘要

OBJECTIVE Good bone quality is the key to avoiding osteoporotic fragility fractures and poor outcomes after lumbar instrumentation and fusion surgery. Although dual-energy x-ray absorptiometry (DEXA) screening is the current standard for evaluating osteoporosis, many patients lack DEXA measurements before undergoing lumbar spine surgery. The present study aimed to investigate the utility of using simple quantitative parameters generated with novel synthetic MRI to evaluate bone quality, as well as the correlations of these parameters with DEXA measurements. METHODS This prospective study enrolled patients with symptomatic lumbar degenerative disease who underwent DEXA and conventional and synthetic MRI. The quantitative parameters generated with synthetic MRI were T1 map, T2 map, T1 intensity, proton density (PD), and vertebral bone quality (VBQ) score, and these parameters were correlated with T-score of the lumbar spine. RESULTS There were 62 patients and 238 lumbar segments eligible for analysis. PD and VBQ score moderately correlated with T-score of the lumbar spine (r = −0.565 and −0.651, respectively; both p < 0.001). T1 intensity correlated fairly well with T-score (r = −0.411, p < 0.001). T1 and T2 correlated poorly with T-score. Receiver operating characteristic curve analysis demonstrated area under the curve values of 0.808 and 0.794 for detecting osteopenia/osteoporosis (T-score ≤ −1.0) and osteoporosis (T-score ≤ −2.5) with PD (both p < 0.001). CONCLUSIONS PD and T1 intensity values generated with synthetic MRI demonstrated significant correlation with T-score. PD has excellent ability for predicting osteoporosis and osteopenia.
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