|
|
Youth osteopenia evaluated using MR chemical-shift imaging combined with BMI |
WANG Shanshan1,2,3, CHEN Zuqin1,2,4, HE Sijian2, ZHANG Quan2, ZHOU Xin2, BI Xun2, YUAN Fei2 |
1.Graduate Team,Logistics University of Chinese People’s Armed Police Force, Tianjin 300162, China; 2. Department of Medical Imaging,Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin 300162,China; 3.Outpatient Department, Guangdong Provincial Corps Hospital of Chinese People’s Armed Police Force, Guangzhou 510000,China; 4.Hechi Detachment, Guangxi Provincial Corps of Chinese People’s Armed Police Force,Hechi 547000, China |
|
|
Abstract ObjectiveTo investigate the applicability of chemical shift imaging combined with BMI(Body Mass Index) in diagnosing osteopenia among young patients.Methods A total of 67 youths were divided into the osteopenia group (n=38) and healthy group (n=29) according to the results of DXA(dual-energy X-ray absorptiometry). The fat fraction (FF) of the patella and BMI were measured and compared between the two groups. The receiver operating characteristic curve was used to analyze the (ROC) diagnostic value of each of the two indexes or the combination of the two indexes.Results The FF of the osteopenia group was higher than that of the healthy group[(80.5±1.4) vs (78.6±1.2),P<0.01], while BMI of the osteopenia group was lower[(20.2±1.9) vs (23.1±2.0), P<0.01]. The sensitivity, specificity and the AUC of the FF for diagnosis of osteopenia were 68.4%, 75.9% and 0.808 (95%CI: 0.693,0.894)respectively, compared with 73.4%, 89.7% and 0.858 (95%CI: 0.751,0.931)for BMI and 86.8%, 86.2% and 0.920 (95%CI:0.858,0.982)for the combination of the two indexs. The combined index was better than FF or BMI alone in diagnosis of osteopenia (P=0.0136,P=0.0187). Conclusions MR chemical shift imaging combined with BMI can accurately diagnose osteopenia, so it can be used as a reliable method to evaluate bone mass of youths.
|
Received: 11 October 2019
|
|
|
|
|
[1] |
张智海, 刘忠厚, 李 娜, 等. 中国人骨质疏松症诊断标准专家共识(第三稿·2014版)[J].中国骨质疏松杂志,2014,20(9):1007-1010.
|
[2] |
Chang G, Rajapakse C S, Chen C, et al. 3-T MR Imaging of proximal femur microarchitecture in subjects with and without fragility fracture and nonosteoporotic proximal femur bone mineral density[J]. Radiology, 2018, 287(2): 608-619.
|
[3] |
Golden N H, Abrams S A. Optimizing bone health in children and adolescents[J]. Pediatrics, 2014, 134(4):1229-1243.
|
[4] |
Li Y, Meng Y, Yu X. The Unique Metabolic Characteristics of Bone Marrow Adipose Tissue[J]. Front Endocrinol (Lausanne), 2019,10(2):1-13.
|
[5] |
Berman N, Brent H, Chang G, et al. Transient osteoporosis: Not just the hip to worry about[J]. Bone Rep, 2016, 5: 308-311.
|
[6] |
TJP B, Karsa A, Bainbridge A, et al. Association of bone mineral density and fat fraction with magnetic susceptibility in inflamed trabecular bone[J]. Magn Reson Med, 2019, 81(5):3094-3107.
|
[7] |
Andrew J L. Dual-energy x-ray absorptiometry- overused, neglected, or just misunderstood[J]. N Cmedical J, 2014, 75(2): 132-136.
|
[8] |
赵笛辰, 李 梅. 儿童及青少年骨骼发育特点及其影响因素[J]. 中华骨质疏松和骨矿盐疾病杂志, 2018,11(6):608-612.
|
[9] |
Burian E,Syväri J, Holzapfel C, et al. Gender- and age-related changes in trunk muscle composition using chemical shift encoding-based water-fat MRI[J]. Nutrients, 2018, 10(12): 1-13.
|
[10] |
Singhal V, Bredella M A. Marrow adipose tissue imaging in humans[J]. Bone, 2019,118: 69-76.
|
[11] |
Rosen C J, Bouxsein M L. Mechanisms of disease: is osteoporosis the obesity of bone[J]. Nat Clin Pract Rheumatol,2006, 2(1): 35-43.
|
[12] |
Christian T B, Micheal D. MR-Based assessment of bonemarrow fat in osteoporosis,diabetes, and obesity[J]. Front Endocrinol (Lausanne), 2016, 7(6): 1-7.
|
[13] |
Zhu J, Zhang L, Wu X, et al. Reduction of Longitudinal Vertebral Blood Perfusion and Its Likely Causes: A Quantitative Dynamic Contrast-enhanced MR Imaging Study of a Rat Osteoporosis Model[J]. Radiology, 2017,282(2):369-380.
|
[14] |
Marin D, Dale B M, Bashir M R, et al. Effectiveness of a three-dimensional dual gradient echo two-point Dixon techniquefor the characterization of adrenal lesions at 3 Tesla[J]. Eur Radiol, 2012,22(1): 259-268.
|
[15] |
朱 进, 凌人男, 龚静山,等.采用3T MR Dixon技术评价脊旁肌脂肪浸润与年龄的相关性[J].中国CT和MRI杂志,2017,15(08):143-145.
|
[16] |
Carriles R I,Aubá G M,Chacón C E,et al. Transient osteoporosis of the hip during pregnancy.[J] .Endocrinol Diabetes Nutr, 2019, 66: 588-591.
|
[17] |
Lowitz T, Museyko O, Bousson V, et al. Advanced knee structure analysis (AKSA): a comparison of bone mineral density and trabecular texture measurements using computed tomography and high-resolution peripheral quantitative computed tomography of human knee cadavers[J]. Arthritis Res Ther,2017,19(1):1-10.
|
[18] |
Akamatsu Y, Mitsugi N, Taki N, et al. Medial versus lateral condyle bone mineral density ratios in a cross-sectional study: a potential marker for medial knee osteoarthritis severity[J]. Arthritis Care Res (Hoboken),2012, 64(7): 1036-1045.
|
[19] |
Natascia D,Iorgi M R, Steven D. MittelmanaVG. Reciprocal relation between marrow adiposity and the amount of bone in the axial and appendicular skeleton of young adults[J]. J Clin Endocrinol Metab, 2008, 93(6): 2281-2286.
|
[20] |
Stuttard J, Zhou B, Kontis V, et al. Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment[J]. Lancet Diabetes Endocrinol, 2018,6(6):6-15.
|
[21] |
柴生颋, 谢平金, 万 雷, 等. 体重及体质量指数与骨质疏松性骨折发生的关系研究[J].中国骨质疏松杂志, 2018,24(2):156-160.
|
[22] |
Kim J H, Hong A R, Choi H J, et al. Sex-based differences in the association between body composition and incident fracture risk in Koreans[J]. Sci Rep, 2017,7(1):59-75.
|
[23] |
Bohn B, Müller MJ, Simic-Schleicher G, et al. BMI or BIA: Is body mass index or body fat mass a better predictor of cardiovascular risk in overweight or obese children and adolescents? A German/Austrian/Swiss multicenter apv analysis of 3,327 children and adolescents[J]. Obes Facts, 2015,8(2):156-165.
|
[24] |
陈 莉, 朱友志, 贺明庆, 等. MRS评估骨关节炎患者骨髓脂肪含量的变化[J].医学影像学杂志, 2017,27(7):1364-1367.
|
[1] |
. [J]. Med. J. Chin. Peop. Armed Poli. Forc., 2020, 31(3): 237-239. |
|
|
|
|