Image Analysis of the Distal Radius Trabecular Network Using Computed Tomography |
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Authors: | B. Cortet P. Dubois N. Boutry P. Bourel A. Cotten X. Marchandise |
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Affiliation: | (1) Department of Rheumatology,, FR;(2) Department of Biophysics and, FR;(3) Department of Radiology, University Hospital of Lille, Lille, France, FR |
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Abstract: | Bone texture analysis might provide information about bone structure in a noninvasive manner. In a prospective case–control cross-sectional study we investigated the value of computed tomography (CT) image analysis of the distal radius in the assessment of osteoporosis. Twenty patients suffering from postmenopausal osteoporosis were studied and compared with 21 age-matched controls. Eight slices were selected in each patient: four consecutive coronal slices and four consecutive cross-sectional slices. Bone texture analysis was performed using statistical, fractal and structural methods leading to the measurement of 32 features. Structural variables derived from histomorphometric parameters were measured after segmentation from a binary or a skeletonized image. Bone mineral density was measured by dual-energy X-ray absorptiometry both at the lumbar spine and the femoral neck. Eight of the 9 statistical features were significantly different in osteoporotic women as compared with controls (coronal slices, p < 0.05). Seven structural variables were statistically different between the two groups on coronal slices (p < 0.05): valley surface area, bone volume/tissue volume, trabecular partition, Euler’s number, trabecular bone pattern factor, node-to-node strut count and terminus-to-terminus strut count. The most significant results on coronal slices (p < 0.01) concerned 4 structural features: trabecular partition, Euler’s number, trabecular bone pattern factor and terminus-to-terminus strut count. Three features were statistically different (p < 0.01) between the two groups on cross-sectional slices (skeletonization from gray levels). A few features yielded by texture analysis were correlated with both lumbar spine and femoral neck bone mineral density, but the level of these correlations was weak (r < 0.5). In conclusion, CT image analysis of the distal radius is a useful tool for characterizing bone texture alterations in osteoporotic women. These findings are in keeping with microarchitectural osteoporosis-related changes diagnosed on bone biopsies. Received: 8 April 1998 / Accepted: 14 September 1998 |
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Keywords: | :Computed tomography – Fractal analysis – Osteoporosis – Statistical analysis – Structural analysis |
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