1. Improved accuracy in the assessment of vertebral cortical thickness by quantitative computed tomography using the Iterative Convolution OptimizatioN (ICON) method
- Author
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Jaime Peña, Timo Damm, Claus-Christian Glüer, Graeme Michael Campbell, Reinhard Barkmann, and Jan Bastgen
- Subjects
musculoskeletal diseases ,0301 basic medicine ,Histology ,Physiology ,Image quality ,Endocrinology, Diabetes and Metabolism ,Partial volume ,030209 endocrinology & metabolism ,Image processing ,Correlation ,03 medical and health sciences ,0302 clinical medicine ,Bone Density ,medicine ,Cortical Bone ,Humans ,Thin cortices ,Quantitative computed tomography ,Mathematics ,medicine.diagnostic_test ,Spine ,body regions ,030104 developmental biology ,medicine.anatomical_structure ,Cortical bone ,Tomography, X-Ray Computed ,Cancellous bone ,Algorithms ,Biomedical engineering - Abstract
Vertebral whole bone strength is substantially affected by cortical bone properties. Disease and therapy may affect cancellous and cortical bone differently. Unlike Dual X-ray Absorptiometry (DXA), Quantitative Computed Tomography (QCT) permits selective assessment of cortical and cancellous bone, but image quality limits the accuracy. We present an image processing method specifically adopted to thin cortices that substantially improves accuracy. Ten human vertebrae embedded in epoxy resin were imaged using clinical QCT and High-Resolution QCT (HR-QCT) protocols, both acquired on a clinical whole body CT scanner, whereas high resolution peripheral QCT (HR-pQCT) was used as gold standard. Microstructural variables and BMD were calculated using in-house software Structural Insight for QCT and HR-QCT and the manufacturer's μCT evaluation software for HR-pQCT. An adjusted measure, a deconvolved cortical thickness (dcCt.Th), corrected for partial volume effects, was derived applying the new Iterative Convolution OptimizatioN (ICON) method. Direct measurements of cortical thickness (Ct.Th) showed substantial overestimation with mean ± standard deviation of 1.8 ± 0.5 mm for QCT and 1.5 ± 0.3 mm for HR-QCT compared to 0.37 ± 0.07 mm using HR-pQCT. Correlations of both QCT (r 2 = 0.05, p > 0.5.) and HR-QCT (r 2 = 0.38, p = 0.060) with the gold standard HR-pQCT were not significant. Also QCT-based BMD and BMC as well as HR-QCT-based BMD did not show a significant correlation with the gold standard approach. Only HR-QCT-based BMC showed a modest correlation (r 2 = 0.59, p = 0.01) After applying ICON corrections, dcCt.Th resulted in 0.52 ± 0.09 mm for QCT and 0.43 ± 0.07 mm for HR-QCT, both significantly correlated to HR-pQCT (r 2 = 0.75, p = 0.0012 and r 2 = 0.93, p Due to inaccurate segmentation uncorrected QCT-based Ct.Th measures as well as BMD and BMC showed no correlation to HR-pQCT and thus such bias cortical data can be misleading. The application of ICON reduced random overestimation bias to about 50 μm and 20 μm for QCT and HR-QCT, respectively, leading to a recovery of a significant correlation with the reference data of HR-pQCT. This reveals the potential for fairly accurate assessment of cortical thickness, allowing to better characterize cortical mechanical competence. These results warrant testing of the performance in vivo.
- Published
- 2018