The AAPS Journal

, Volume 16, Issue 3, pp 478–487

A Network Modeling Approach for the Spatial Distribution and Structure of Bone Mineral Content

Authors

  • Hui Li
    • Department of Computer Science and EngineeringState University of New York
  • Aidong Zhang
    • Department of Computer Science and EngineeringState University of New York
  • Lawrence Bone
    • Department of OrthopedicsState University of New York
  • Cathy Buyea
    • Department of OrthopedicsState University of New York
    • Department of Pharmaceutical SciencesState University of New York
    • Department of NeurologyState University of New York
Research Article

DOI: 10.1208/s12248-014-9585-8

Cite this article as:
Li, H., Zhang, A., Bone, L. et al. AAPS J (2014) 16: 478. doi:10.1208/s12248-014-9585-8
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ABSTRACT

This study aims to develop a spatial model of bone for quantitative assessments of bone mineral density and microarchitecture. A spatially structured network model for bone microarchitecture was systematically investigated. Bone mineral-forming foci were distributed radially according to the cumulative normal distribution, and Voronoi tessellation was used to obtain edges representing bone mineral lattice. Methods to simulate X-ray images were developed. The network model recapitulated key features of real bone and contained spongy interior regions resembling trabecular bone that transitioned seamlessly to densely mineralized, compact cortical bone-like microarchitecture. Model-simulated imaging profiles were similar to patients’ X-ray images. The morphometric metrics were concordant with microcomputed tomography results for real bone. Simulations comparing normal and diseased bone of 20–30 to 70–80 year-olds demonstrated the method’s effectiveness for modeling osteoporosis. The novel spatial model may be useful for pharmacodynamic simulations of bone drugs and for modeling imaging data in clinical trials.

KEY WORDS

boneimagingmodelingosteoporosis

Copyright information

© American Association of Pharmaceutical Scientists 2014