Multiparameter characterisation of vertebral osteoporosis with 3-T MR

被引：59

作者：

Fanucci E. ^{[1
]}

Manenti G. ^{[1
]}

Masala S. ^{[1
]}

Laviani F. ^{[1
]}

Di Costanzo G. ^{[1
]}

Ludovici A. ^{[1
]}

Cozzolino V. ^{[1
]}

Floris R. ^{[1
]}

Simonetti G. ^{[1
]}

机构：

[1] Università degli Studi di Roma Tor Vergata, Dipartimento di Diagnostica Per Immagini e Radiologia Interventistica, Policlinico Universitario Tor Vergata, I-00133 Roma

来源：

La radiologia medica | 2007年 / 112卷 / 2期

关键词：

3-Tesla MR; Diffusion imaging; Osteoporosis; Tractography; Vertebral collapse;

D O I：

10.1007/s11547-007-0136-6

中图分类号：

学科分类号：

摘要：

Purpose. This study was undertaken to evaluate the diagnostic capabilities of 3-Tesla (T) magnetic resonance (MR) in vertebral osteoporosis. Materials and methods. Thirty subjects (ten healthy controls, ten with osteoporosis but no fracture, ten with osteoporotic vertebral fractures) underwent MR of the lumbar spine. Turbo spin echo (TSE) T1-, T2- and T2- spectral selection attenuated inversion recovery (SPAIR) weighted imaging and spectroscopy for the selective evaluation of water and fat content were performed. The apparent diffusion coefficient (ADC) was calculated, and diffusion tensor imaging (DTI) was performed to create a map of the spatial arrangement of the tissue structures. Results. Morphological imaging detected recent vertebral fractures. In osteoporotic patients, spectroscopic imaging demonstrated an increase in the saturated fats and a decrease in the ADC, whereas the data provided by DTI demonstrated a bone structure with medium-degree anisotropy. Discussion. Osteoporosis is characterised by trabecular thinning, with an increase in the intertrabecular spaces, which are filled with fats. The anisotropic study and the subsequent assessment of colour and vector maps can provide a noninvasive tool for assessing the risk of fracture due to osteoporosis. © 2007 Springer-Verlag.

引用

页码：208 / 223

页数：15

共 18 条

[1]

Lindsay R., Silverman S., Cooper C., Et al., Risk of new vertebral fracture in the year following a fracture, Jama, 285, pp. 320-323, (2001)

[2]

Wasnich U., Vertebral fracture epidemiology, Bone, 18, (1996)

[3]

Basser P., Pajevic S., Pierpaoli C., Et al., In vivo fiber tractography using DT-MRI data, Magn Reson Med, 44, pp. 625-632, (2000)

[4]

Basser P.J., Mattiello J., LeBihan D., MR imaging of fiber tract direction and diffusion in anisotropic tissues, Proceedings of the 4th Annual Meeting of ISMRM, (1996)

[5]

Jones D., Williams S., Horsfield M., Full representation of white matter fiber direction on one map via diffusion tensor analysis, Proceedings of the 5th Annual Meeting of ISMRM, (1997)

[6]

Mori S., Crain B.J., Chacko V.P., van Zijl P.C.M., Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging, Ann Neurol, 45, pp. 265-269, (1999)

[7]

Guillen M.D., Ruiz A., Rapid simultaneous determination by proton NMR of unsaturation and composition of acryl groups in vegetable oils, Eur J Lipid Sci Technol, 105, pp. 688-696, (2003)

[8]

Dunnill M.S., Anderson J.A., Whitehead R., Quantitative histological studies on age changes in bone, J Pathol Bacteriol, 94, pp. 275-291, (1967)

[9]

Verna S., Rajaratnam J.H., Denton J., Et al., Adipocytic proportion of bone marrow is inversely related to bone formation in osteoporosis, J Clin Pathol, 55, pp. 693-698, (2002)

[10]

Gunstone F.D., Harwood J.L., Padley F.B., The lipid handbook, (1994)

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