4.6 Article

A comparison of methods for in vivo assessment of cortical porosity in the human appendicular skeleton

Journal

BONE
Volume 73, Issue -, Pages 167-175

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.bone.2014.11.023

Keywords

Computed tomography; Cortical porosity; HR-pQCT; In vivo

Funding

  1. Merck Canada Inc.

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The recent advent of high-resolution peripheral quantitative computed tomography (HR-pQCT) provides new opportunities to measure in vivo human bone microarchitecture. Increasingly, cortical porosity (CtPo) is of particular interest due to its relationship with bone quality and turnover. The two approaches that have emerged to measure CtPo from HR-pQCT are threshold-based and density-based methods, and the purpose of this work was to compare the performance of each against a gold-standard synchrotron radiation micro-computed tomography (SR mu CT) measurement. Human cadaveric cortical bone specimens (N = 23) were measured by SR mu CT and HR-pQCT, and high correlations were found for both methods. The density-based approach had an r(2) = 0.939 (95% confidence interval (CI) of +6.17% to +20.99%) and consistently overestimated porosity as measured by SR mu CT, while the threshold-based approach had an r(2) = 0.977 and consistently underestimated porosity (95% CI of -2.60% to -10.76%). The density-based approach is prone to beam hardening artifacts and susceptible to natural variations of tissue mineral density (TMD), but is less affected by motion artifacts that may occur in in vivo scans. The threshold-based method has the advantage that it provides structural information that complements the cortical porosity measure, such as number of pores and connectivity, and can accurately detect the larger pores which are the most relevant to bone biomechanical strength. With the first generation HR-pQCT systems the accuracy of detecting pores larger than 140 pm diameter is excellent (r(2) = 0.983; 95% Cl of -4.88% to +2.45%). The accuracy of the threshold-based method will improve as new HR-pQCT systems emerge and provide a robust quantitative approach to measure cortical porosity. (C) 2014 Elsevier Inc. All rights reserved.

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