Prediction of Abnormal Bone Density and Osteoporosis From Lumbar Spine MR Using Modified Dixon Quant in 257 Subjects With Quantitative Computed Tomography as Reference

• Published in: Journal of magnetic resonance imaging Vol. 49; no. 2; pp. 390 - 399
• Main Authors: Zhao, Yinxia, Huang, Mingqian, Ding, Jie, Zhang, Xintao, Spuhler, Karl, Hu, Shaoyong, LI, Mianwen, Fan, Wei, Chen, Lin, Zhang, Xiaodong, Li, Shaolin, Zhou, Quan, Huang, Chuan
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.02.2019
• Subjects: Adipogenesis; Adipose Tissue - diagnostic imaging; Adult; Age; Aged; Biocompatibility; Body mass; Bone cancer; Bone Density; Bone marrow; Bone Marrow - diagnostic imaging; Bone mass; Bone mineral density; chemical shift imaging; Computation; Computed tomography; Dysplasia; Female; Females; Field strength; Hormone replacement therapy; Humans; Lumbar Vertebrae - diagnostic imaging; Magnetic Resonance Imaging; Male; Males; Middle Aged; Osteogenesis; Osteopenia; Osteoporosis; Osteoporosis - diagnostic imaging; Performance prediction; Population (statistical); Population studies; Predictive Value of Tests; Prospective Studies; Reference Values; Regression analysis; ROC Curve; Sex; Spinal cancer; Spine; Spine (lumbar); Statistical analysis; Statistical tests; Surgery; Tomography, X-Ray Computed; Trauma; Variance analysis; Vertebrae; Young Adult; computed tomography; osteopenia; magnetic resonance imaging; osteoporosis; chemical shift imaging
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.26233

Background Bone marrow fat increases when bone mass decreases, which could be attributed to the fact that adipogenesis competes with osteogenesis. Bone marrow fat has the potential to predict abnormal bone density and osteoporosis. Purpose To investigate the predictive value of using vertebral bone marrow fat fraction(BMFF) obtained from modified Dixon(mDixon) Quant in the determination of abnormal bone density and osteoporosis. Study type Prospective. Population 257 subjects (age: 20–79 years old; BMI: 16.6–32.9 kg/m2;181 females,76 males) without known spinal tumor, history of trauma, dysplasia, spinal surgery or hormone therapy. Field strength/sequence 3.0T/mDixon. Assessment BMFF was measured at the L1, L2 and L3 vertebral body on fat fraction maps of the lumbar spine. Bone mineral density (BMD) was obtained using quantitative computed tomography, which served as the reference standard. Statistical tests The BMFF between the three groups (normal bone density, osteopenia and osteoporosis) was tested using one‐way analysis of variance in SPSS. The correlation and partial correlation of BMFF and BMD were analyzed before and after controlling for age, sex and BMI. Logistic regression analysis using independent training and validation data was conducted to evaluate the performance of predicting abnormal BMD or osteoporosis using BMFF. Results There was a significant difference in vertebral BMFF between the three groups (P < 0.001). Moderate inverse correlation was found between vertebral BMFF and BMD after controlling age, sex and BMI (r = ‐0.529; P < 0.001). The mean area under the curve, sensitivity, specificity and negative predictive value (NPV) for predicting abnormal bone density were 0.940, 0.877, 0.896, and 0.890, respectively. The corresponding results for predicting subjects with osteoporosis were 0.896, 0.848, 0.853, and 0.969, respectively. Data conclusion mDixon Quant is a fast, simple, noninvasive and nonionizing method to access vertebral BMFF and has a high predictive power for identifying abnormal bone density and osteoporosis. Level of Evidence: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:390–399.