title: Regional variations in microstructural properties of vertebral trabeculae with structural groups.
abstract: METHODS
  Micro-computed tomography (CT) scanning to investigate three-dimensional microstructural properties of L4 vertebral bodies.
  
  
  OBJECTIVE
  To identify the regional variations in the three-dimensional microstructural properties of vertebral cancellous bones with respect to structural types for the prediction of related regional fracture risks.
  
  
  BACKGROUND
  The literature contains no reports on regional variations in morphologic properties of vertebral trabeculae with microstructural types, which may shed light on the patterns of osteoporotic fractures.
  
  
  METHODS
  Ninety cubic cancellous specimens were obtained from 6 normal L4 vertebral bodies of 6 male donors 62 to 70 years of age and were scanned using a high-resolution micro-CT system. These specimens were further divided into two groups according to the average structure model index (SMI) of the 15 trabecular specimens in each vertebral body. Adjustment for age differences was done for the microstructural parameters, i.e.-, bone volume fraction, trabecular number, trabecular thickness, structure model index, degree of architectural anisotropy, and connectivity density, to allow investigation on the regional variations in different transverse layers and vertical columns independent of age.
  
  
  RESULTS
  Trabecular specimens with lower mass were liable to form high-SMI group and the differences in all parameters reached significance level either between columns or between layers from two groups.
  
  
  CONCLUSIONS
  The anterior column in the high-SMI group is more susceptible to vertebral body wedge fracture; and in the low-SMI group, off-axis bone damage is most harmful to the central column of vertebral trabeculae. The data obtained may help to identify the most critical locations of fracture risks at an early stage and provide a microstructural basis for the repair and clinical treatment of vertebral fractures.
authors.affiliation: Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China.
authors.forename: He
authors.initials: H
authors.lastname: Gong
authors.forename: Ming
authors.initials: M
authors.lastname: Zhang
authors.forename: Ling
authors.initials: L
authors.lastname: Qin
authors.forename: Kenneth Ka Ho
authors.initials: KK
authors.lastname: Lee
authors.forename: Xia
authors.initials: X
authors.lastname: Guo
authors.forename: San-Qiang
authors.initials: SQ
authors.lastname: Shi
mesh_terms: D000368:Aged; D005598:Fractures, Spontaneous; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008159:Lumbar Vertebrae / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012307:Risk Factors; D016103:Spinal Fractures; D014057:Tomography, X-Ray Computed / Q000379:methods*