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Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology

BACKGROUND: To determine whether denoised areal bone mineral density (BMD) measurements from scout scans in spectral detector computed tomography (CT) correlate with volumetric trabecular BMD for opportunistic osteoporosis screening. METHODS: A 64-slice single-source dual-layer spectral CT scanner w...

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Autores principales: Hammel, Johannes, Birnbacher, Lorenz, Campbell, Graeme, Coulon, Philippe, Ushakov, Lev, Pfeiffer, Franz, Makowski, Marcus R., Kirschke, Jan, Pfeiffer, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390397/
https://www.ncbi.nlm.nih.gov/pubmed/37525062
http://dx.doi.org/10.1186/s41747-023-00356-7
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author Hammel, Johannes
Birnbacher, Lorenz
Campbell, Graeme
Coulon, Philippe
Ushakov, Lev
Pfeiffer, Franz
Makowski, Marcus R.
Kirschke, Jan
Pfeiffer, Daniela
author_facet Hammel, Johannes
Birnbacher, Lorenz
Campbell, Graeme
Coulon, Philippe
Ushakov, Lev
Pfeiffer, Franz
Makowski, Marcus R.
Kirschke, Jan
Pfeiffer, Daniela
author_sort Hammel, Johannes
collection PubMed
description BACKGROUND: To determine whether denoised areal bone mineral density (BMD) measurements from scout scans in spectral detector computed tomography (CT) correlate with volumetric trabecular BMD for opportunistic osteoporosis screening. METHODS: A 64-slice single-source dual-layer spectral CT scanner was used to acquire scout scan data of 228 lumbar vertebral bodies within 57 patients. Scout scans in anterior–posterior (AP) view were performed with a dose of < 0.06 mSv and spectrally decomposed into areal BMD (aBMD) values. A spectral dictionary denoising algorithm was applied to increase the signal-to-noise ratio (SNR). Volumetric trabecular bone mineral density (vBMD) was determined via material decomposition. A 3D convolutional network for image segmentation and labeling was applied for automated vBMD quantification. Projected maps were used to compare the classification accuracy of AP and lateral scout scans. RESULTS: The denoising algorithm led to the minimization of anticorrelated noise in spectral maps and an SNR increase from 5.23 to 13.4 (p < 0.002). Correlation analysis between vBMD and measured AP aBMD, projected AP, and lateral aBMD showed a Pearson correlation coefficient of 0.68, 0.81, and 0.90, respectively. The sensitivity and specificity for the osteoporosis classification task were higher in lateral projection images than in AP crystallizing in an increased area under the curve value of 0.99 versus 0.90. CONCLUSION: Denoised material-specific aBMD maps show a positive correlation to vBMD, enabling spectral scout scans as an opportunistic predictor for osteoporotic patients. This could be applied routinely as a screening tool in patients undergoing a CT examination. RELEVANCE STATEMENT: Scout-based DEXA could be applied routinely as a screening tool in patients undergoing a CT examination. KEY POINTS: • Spectral scout scans can be used as a dual-energy x-ray absorptiometry-like screening tool. • Spectral dictionary denoising on projection images increases the signal-to-noise ratio. • Positive correlation between volumetric and areal bone mineral density is observed. • Lateral projections increase osteoporosis classification accuracy compared to anterior-posterior projections. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-103903972023-08-02 Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology Hammel, Johannes Birnbacher, Lorenz Campbell, Graeme Coulon, Philippe Ushakov, Lev Pfeiffer, Franz Makowski, Marcus R. Kirschke, Jan Pfeiffer, Daniela Eur Radiol Exp Original Article BACKGROUND: To determine whether denoised areal bone mineral density (BMD) measurements from scout scans in spectral detector computed tomography (CT) correlate with volumetric trabecular BMD for opportunistic osteoporosis screening. METHODS: A 64-slice single-source dual-layer spectral CT scanner was used to acquire scout scan data of 228 lumbar vertebral bodies within 57 patients. Scout scans in anterior–posterior (AP) view were performed with a dose of < 0.06 mSv and spectrally decomposed into areal BMD (aBMD) values. A spectral dictionary denoising algorithm was applied to increase the signal-to-noise ratio (SNR). Volumetric trabecular bone mineral density (vBMD) was determined via material decomposition. A 3D convolutional network for image segmentation and labeling was applied for automated vBMD quantification. Projected maps were used to compare the classification accuracy of AP and lateral scout scans. RESULTS: The denoising algorithm led to the minimization of anticorrelated noise in spectral maps and an SNR increase from 5.23 to 13.4 (p < 0.002). Correlation analysis between vBMD and measured AP aBMD, projected AP, and lateral aBMD showed a Pearson correlation coefficient of 0.68, 0.81, and 0.90, respectively. The sensitivity and specificity for the osteoporosis classification task were higher in lateral projection images than in AP crystallizing in an increased area under the curve value of 0.99 versus 0.90. CONCLUSION: Denoised material-specific aBMD maps show a positive correlation to vBMD, enabling spectral scout scans as an opportunistic predictor for osteoporotic patients. This could be applied routinely as a screening tool in patients undergoing a CT examination. RELEVANCE STATEMENT: Scout-based DEXA could be applied routinely as a screening tool in patients undergoing a CT examination. KEY POINTS: • Spectral scout scans can be used as a dual-energy x-ray absorptiometry-like screening tool. • Spectral dictionary denoising on projection images increases the signal-to-noise ratio. • Positive correlation between volumetric and areal bone mineral density is observed. • Lateral projections increase osteoporosis classification accuracy compared to anterior-posterior projections. GRAPHICAL ABSTRACT: [Image: see text] Springer Vienna 2023-08-01 /pmc/articles/PMC10390397/ /pubmed/37525062 http://dx.doi.org/10.1186/s41747-023-00356-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Hammel, Johannes
Birnbacher, Lorenz
Campbell, Graeme
Coulon, Philippe
Ushakov, Lev
Pfeiffer, Franz
Makowski, Marcus R.
Kirschke, Jan
Pfeiffer, Daniela
Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title_full Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title_fullStr Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title_full_unstemmed Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title_short Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology
title_sort comparison of volumetric and areal bone mineral density in ct and scout scans using spectral detector technology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390397/
https://www.ncbi.nlm.nih.gov/pubmed/37525062
http://dx.doi.org/10.1186/s41747-023-00356-7
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