Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens
Background: Dark-field imaging is a novel imaging modality that allows for the assessment of material interfaces by exploiting the wave character of x-ray. While it has been extensively studied in chest imaging, only little is known about the modality for imaging other tissues. Therefore, the purpos...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1217007/full |
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| author | Florian T. Gassert Theresa Urban Theresa Urban Theresa Urban Alexander Kufner Manuela Frank Manuela Frank Manuela Frank Georg C. Feuerriegel Thomas Baum Marcus R. Makowski Christian Braun Daniela Pfeiffer Daniela Pfeiffer Benedikt J. Schwaiger Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Alexandra S. Gersing |
| author_facet | Florian T. Gassert Theresa Urban Theresa Urban Theresa Urban Alexander Kufner Manuela Frank Manuela Frank Manuela Frank Georg C. Feuerriegel Thomas Baum Marcus R. Makowski Christian Braun Daniela Pfeiffer Daniela Pfeiffer Benedikt J. Schwaiger Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Alexandra S. Gersing |
| author_sort | Florian T. Gassert |
| collection | DOAJ |
| description | Background: Dark-field imaging is a novel imaging modality that allows for the assessment of material interfaces by exploiting the wave character of x-ray. While it has been extensively studied in chest imaging, only little is known about the modality for imaging other tissues. Therefore, the purpose of this study was to evaluate whether a clinical X-ray dark-field scanner prototype allows for the assessment of osteoporosis.Materials and methods: In this prospective study we examined human cadaveric lumbar spine specimens (vertebral segments L2 to L4). We used a clinical prototype for dark-field radiography that yields both attenuation and dark-field images. All specimens were scanned in lateral orientation in vertical and horizontal position. All specimens were additionally imaged with CT as reference. Bone mineral density (BMD) values were derived from asynchronously calibrated quantitative CT measurements. Correlations between attenuation signal, dark-field signal and BMD were assessed using Spearman’s rank correlation coefficients. The capability of the dark-field signal for the detection of osteoporosis/osteopenia was evaluated with receiver operating characteristics (ROC) curve analysis.Results: A total of 58 vertebrae from 20 human cadaveric spine specimens (mean age, 73 years ±13 [standard deviation]; 11 women) were studied. The dark-field signal was positively correlated with the BMD, both in vertical (r = 0.56, p < .001) and horizontal position (r = 0.43, p < .001). Also, the dark-field signal ratio was positively correlated with BMD (r = 0.30, p = .02). No correlation was found between the signal ratio of attenuation signal and BMD (r = 0.14, p = .29). For the differentiation between specimens with and without osteoporosis/osteopenia, the area under the ROC curve (AUC) was 0.80 for the dark-field signal in vertical position.Conclusion: Dark-field imaging allows for the differentiation between spine specimens with and without osteoporosis/osteopenia and may therefore be a potential biomarker for bone stability. |
| first_indexed | 2024-03-12T23:11:14Z |
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| id | doaj.art-1d257a58b9724d7d8346f23649b93ea2 |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-03-12T23:11:14Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Physiology |
| spelling | doaj.art-1d257a58b9724d7d8346f23649b93ea22023-07-18T01:03:29ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-07-011410.3389/fphys.2023.12170071217007Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimensFlorian T. Gassert0Theresa Urban1Theresa Urban2Theresa Urban3Alexander Kufner4Manuela Frank5Manuela Frank6Manuela Frank7Georg C. Feuerriegel8Thomas Baum9Marcus R. Makowski10Christian Braun11Daniela Pfeiffer12Daniela Pfeiffer13Benedikt J. Schwaiger14Franz Pfeiffer15Franz Pfeiffer16Franz Pfeiffer17Franz Pfeiffer18Alexandra S. Gersing19Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, Garching, GermanyMunich Institute of Biomedical Engineering, Technical University of Munich, Garching, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, Garching, GermanyMunich Institute of Biomedical Engineering, Technical University of Munich, Garching, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyDepartment of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyInstitute of Forensic Medicine, University Hospital of Munich, LMU Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyMunich Institute for Advanced Study, Technical University of Munich, Garching, GermanyDepartment of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, School of Medicine and Klinikum Rechts der Isar, Technical University of Munich, Munich, GermanyChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, Garching, GermanyMunich Institute of Biomedical Engineering, Technical University of Munich, Garching, GermanyMunich Institute for Advanced Study, Technical University of Munich, Garching, GermanyDepartment of Neuroradiology, University Hospital of Munich, LMU Munich, Munich, GermanyBackground: Dark-field imaging is a novel imaging modality that allows for the assessment of material interfaces by exploiting the wave character of x-ray. While it has been extensively studied in chest imaging, only little is known about the modality for imaging other tissues. Therefore, the purpose of this study was to evaluate whether a clinical X-ray dark-field scanner prototype allows for the assessment of osteoporosis.Materials and methods: In this prospective study we examined human cadaveric lumbar spine specimens (vertebral segments L2 to L4). We used a clinical prototype for dark-field radiography that yields both attenuation and dark-field images. All specimens were scanned in lateral orientation in vertical and horizontal position. All specimens were additionally imaged with CT as reference. Bone mineral density (BMD) values were derived from asynchronously calibrated quantitative CT measurements. Correlations between attenuation signal, dark-field signal and BMD were assessed using Spearman’s rank correlation coefficients. The capability of the dark-field signal for the detection of osteoporosis/osteopenia was evaluated with receiver operating characteristics (ROC) curve analysis.Results: A total of 58 vertebrae from 20 human cadaveric spine specimens (mean age, 73 years ±13 [standard deviation]; 11 women) were studied. The dark-field signal was positively correlated with the BMD, both in vertical (r = 0.56, p < .001) and horizontal position (r = 0.43, p < .001). Also, the dark-field signal ratio was positively correlated with BMD (r = 0.30, p = .02). No correlation was found between the signal ratio of attenuation signal and BMD (r = 0.14, p = .29). For the differentiation between specimens with and without osteoporosis/osteopenia, the area under the ROC curve (AUC) was 0.80 for the dark-field signal in vertical position.Conclusion: Dark-field imaging allows for the differentiation between spine specimens with and without osteoporosis/osteopenia and may therefore be a potential biomarker for bone stability.https://www.frontiersin.org/articles/10.3389/fphys.2023.1217007/fulldark-field imagingosteoporosisspinemedical physicsbone |
| spellingShingle | Florian T. Gassert Theresa Urban Theresa Urban Theresa Urban Alexander Kufner Manuela Frank Manuela Frank Manuela Frank Georg C. Feuerriegel Thomas Baum Marcus R. Makowski Christian Braun Daniela Pfeiffer Daniela Pfeiffer Benedikt J. Schwaiger Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Franz Pfeiffer Alexandra S. Gersing Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens Frontiers in Physiology dark-field imaging osteoporosis spine medical physics bone |
| title | Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| title_full | Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| title_fullStr | Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| title_full_unstemmed | Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| title_short | Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| title_sort | dark field x ray imaging for the assessment of osteoporosis in human lumbar spine specimens |
| topic | dark-field imaging osteoporosis spine medical physics bone |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1217007/full |
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