2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dark-field radiography for the detection of bone microstructure changes in osteoporotic human lumbar spine specimens

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Dark-field radiography imaging exploits the wave character of x-rays to measure small-angle scattering on material interfaces, providing structural information with low radiation exposure. We explored the potential of dark-field imaging of bone microstructure to improve the assessment of bone strength in osteoporosis.

          Methods

          We prospectively examined 14 osteoporotic/osteopenic and 21 non-osteoporotic/osteopenic human cadaveric vertebrae (L2–L4) with a clinical dark-field radiography system, micro-computed tomography (CT), and spectral CT. Dark-field images were obtained in both vertical and horizontal sample positions. Bone microstructural parameters (trabecular number, Tb.N; trabecular thickness, Tb.Th; bone volume fraction, BV/TV; degree of anisotropy, DA) were measured using standard ex vivo micro-CT, while hydroxyapatite density was measured using spectral CT. Correlations were assessed using Spearman rank correlation coefficients.

          Results

          The measured dark-field signal was lower in osteoporotic/osteopenic vertebrae (vertical position, 0.23 ± 0.05 versus 0.29 ± 0.04, p < 0.001; horizontal position, 0.28 ± 0.06 versus 0.34 ± 0.04, p = 0.003). The dark-field signal from the vertical position correlated significantly with Tb.N ( ρ = 0.46, p = 0.005), BV/TV ( ρ = 0.45, p = 0.007), DA ( ρ = -0.43, p = 0.010), and hydroxyapatite density ( ρ = 0.53, p = 0.010). The calculated ratio of vertical/horizontal dark-field signal correlated significantly with Tb.N ( ρ = 0.43, p = 0.011), BV/TV ( ρ = 0.36, p = 0.032), DA ( ρ = -0.51, p = 0.002), and hydroxyapatite density ( ρ = 0.42, p = 0.049).

          Conclusion

          Dark-field radiography is a feasible modality for drawing conclusions on bone microarchitecture in human cadaveric vertebral bone.

          Relevance statement

          Gaining knowledge of the microarchitecture of bone contributes crucially to predicting bone strength in osteoporosis. This novel radiographic approach based on dark-field x-rays provides insights into bone microstructure at a lower radiation exposure than that of CT modalities.

          Key Points

          • Dark-field radiography can give information on bone microstructure with low radiation exposure.

          • The dark-field signal correlated positively with bone microstructure parameters.

          • Dark-field signal correlated negatively with the degree of anisotropy.

          • Dark-field radiography helps to determine the directionality of trabecular loss.

          Graphical Abstract

          Related collections

          Most cited references41

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          scikit-image: image processing in Python

          scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image. More information can be found on the project homepage, http://scikit-image.org.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Guidelines for assessment of bone microstructure in rodents using micro-computed tomography.

            Use of high-resolution micro-computed tomography (microCT) imaging to assess trabecular and cortical bone morphology has grown immensely. There are several commercially available microCT systems, each with different approaches to image acquisition, evaluation, and reporting of outcomes. This lack of consistency makes it difficult to interpret reported results and to compare findings across different studies. This article addresses this critical need for standardized terminology and consistent reporting of parameters related to image acquisition and analysis, and key outcome assessments, particularly with respect to ex vivo analysis of rodent specimens. Thus the guidelines herein provide recommendations regarding (1) standardized terminology and units, (2) information to be included in describing the methods for a given experiment, and (3) a minimal set of outcome variables that should be reported. Whereas the specific research objective will determine the experimental design, these guidelines are intended to ensure accurate and consistent reporting of microCT-derived bone morphometry and density measurements. In particular, the methods section for papers that present microCT-based outcomes must include details of the following scan aspects: (1) image acquisition, including the scanning medium, X-ray tube potential, and voxel size, as well as clear descriptions of the size and location of the volume of interest and the method used to delineate trabecular and cortical bone regions, and (2) image processing, including the algorithms used for image filtration and the approach used for image segmentation. Morphometric analyses should be based on 3D algorithms that do not rely on assumptions about the underlying structure whenever possible. When reporting microCT results, the minimal set of variables that should be used to describe trabecular bone morphometry includes bone volume fraction and trabecular number, thickness, and separation. The minimal set of variables that should be used to describe cortical bone morphometry includes total cross-sectional area, cortical bone area, cortical bone area fraction, and cortical thickness. Other variables also may be appropriate depending on the research question and technical quality of the scan. Standard nomenclature, outlined in this article, should be followed for reporting of results. 2010 American Society for Bone and Mineral Research.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Osteoporosis

              Fractures resulting from osteoporosis become increasingly common in women after age 55 years and men after age 65 years, resulting in substantial bone-associated morbidities, and increased mortality and health-care costs. Research advances have led to a more accurate assessment of fracture risk and have increased the range of therapeutic options available to prevent fractures. Fracture risk algorithms that combine clinical risk factors and bone mineral density are now widely used in clinical practice to target high-risk individuals for treatment. The discovery of key pathways regulating bone resorption and formation has identified new approaches to treatment with distinctive mechanisms of action. Osteoporosis is a chronic condition and long-term, sometimes lifelong, management is required. In individuals at high risk of fracture, the benefit versus risk profile is likely to be favourable for up to 10 years of treatment with bisphosphonates or denosumab. In people at a very high or imminent risk of fracture, therapy with teriparatide or abaloparatide should be considered; however, since treatment duration with these drugs is restricted to 18-24 months, treatment should be continued with an antiresorptive drug. Individuals at high risk of fractures do not receive adequate treatment and strategies to address this treatment gap-eg, widespread implementation of Fracture Liaison Services and improvement of adherence to therapy-are important challenges for the future.
                Bookmark

                Author and article information

                Contributors
                jon.rischewski@tum.de
                Journal
                Eur Radiol Exp
                Eur Radiol Exp
                European Radiology Experimental
                Springer Vienna (Vienna )
                2509-9280
                4 November 2024
                4 November 2024
                December 2024
                : 8
                : 125
                Affiliations
                [1 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Institute for Diagnostic and Interventional Neuroradiology, University Hospital, , LMU Munich, ; Marchioninistr. 15, 81377 Munich, Germany
                [2 ]GRID grid.6936.a, ISNI 0000000123222966, Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, , Technical University of Munich, ; Ismaninger Str. 22, 81675 Munich, Germany
                [3 ]Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, ( https://ror.org/02kkvpp62) James-Franck-Str. 1, 85748 Garching, Germany
                [4 ]Munich Institute of Biomedical Engineering, Technical University of Munich, ( https://ror.org/02kkvpp62) Boltzmannstraße 11, 85748 Garching, Germany
                [5 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Institute of Forensic Medicine, University Hospital of Munich, , LMU Munich, ; Nußbaumstr. 26, 80336 Munich, Germany
                [6 ]Munich Institute for Advanced Study, Technical University of Munich, ( https://ror.org/02kkvpp62) Lichtenbergstr. 2a, 85748 Garching, Germany
                [7 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Radiology and Biomedical Imaging, , University of California, ; San Francisco, 505 Parnassus Avenue, M-391 San Francisco, CA USA
                Author information
                http://orcid.org/0009-0006-5762-107X
                Article
                524
                10.1186/s41747-024-00524-3
                11534944
                39495387
                c2b6cdd7-0d11-4030-9cfa-10fa4cd2459e
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 July 2024
                : 14 October 2024
                Funding
                Funded by: International Skeletal Society
                Funded by: Deutsche Gesellschaft für muskuloskelettale Radiologie (DGMSR)
                Funded by: Munich Clinician Scientist Program (MCSP)
                Funded by: Friedrich-Baur-Institut
                Categories
                Original Article
                Custom metadata
                © European Society of Radiology (ESR) 2024

                bone density,cadaver,lumbar vertebrae,osteoporosis,radiography

                Comments

                Comment on this article