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Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study
SUMMARY: This feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow using chemical shift encoding–based water-fat MRI. Acquired texture features like contrast and dissimilarity allowed for differentiation of pre- and postmenopausal women and may serve as imagin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546652/ https://www.ncbi.nlm.nih.gov/pubmed/30903208 http://dx.doi.org/10.1007/s00198-019-04924-9 |
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author | Burian, E. Subburaj, K. Mookiah, M. R. K. Rohrmeier, A. Hedderich, D. M. Dieckmeyer, M. Diefenbach, M. N. Ruschke, S. Rummeny, E. J. Zimmer, C. Kirschke, J. S. Karampinos, D. C. Baum, T. |
author_facet | Burian, E. Subburaj, K. Mookiah, M. R. K. Rohrmeier, A. Hedderich, D. M. Dieckmeyer, M. Diefenbach, M. N. Ruschke, S. Rummeny, E. J. Zimmer, C. Kirschke, J. S. Karampinos, D. C. Baum, T. |
author_sort | Burian, E. |
collection | PubMed |
description | SUMMARY: This feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow using chemical shift encoding–based water-fat MRI. Acquired texture features like contrast and dissimilarity allowed for differentiation of pre- and postmenopausal women and may serve as imaging biomarkers in the future. INTRODUCTION: While the vertebral bone marrow fat using chemical shift encoding water-fat magnetic resonance imaging (MRI) has been extensively studied, its spatial heterogeneity has not been analyzed yet. Therefore, this feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow by using texture analysis in proton density fat fraction (PDFF) maps. METHODS: Forty-one healthy pre- and postmenopausal women were recruited for this study (premenopausal (n = 15) 30 ± 7 years, postmenopausal (n = 26) 65 ± 7 years). An eight-echo 3D spoiled gradient echo sequence was used for chemical shift encoding–based water-fat separation at the lumbar spine. Vertebral bodies L1 to L5 were manually segmented. Mean PDFF values and texture features were extracted at each vertebral level, namely variance, skewness, and kurtosis, using statistical moments and second-order features (energy, contrast, correlation, homogeneity, dissimilarity, entropy, variance, and sum average). Parameters were compared between pre- and postmenopausal women and vertebral levels. RESULTS: PDFF was significantly higher in post- than in premenopausal women (49.37 ± 8.14% versus 27.76 ± 7.30%, p < 0.05). Furthermore, PDFF increased from L1 to L5 (L1 37.93 ± 12.85%, L2 38.81 ± 12.77%, L3 40.23 ± 12.72%, L4 42.80 ± 13.27%, L5 45.21 ± 14.55%, p < 0.05). Bone marrow heterogeneity based on texture analysis was significantly (p < 0.05) increased in postmenopausal women. Contrast and dissimilarity performed best in differentiating pre- and postmenopausal women (AUC = 0.97 and 0.96, respectively), not significantly different compared with PDFF (AUC = 0.97). CONCLUSION: Conclusively, an increased bone marrow heterogeneity could be observed in postmenopausal women. In the future, texture parameters might provide additional information to detect and monitor vertebral bone marrow alterations due to aging or hormonal changes beyond conventional anatomic imaging. |
format | Online Article Text |
id | pubmed-6546652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-65466522019-06-19 Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study Burian, E. Subburaj, K. Mookiah, M. R. K. Rohrmeier, A. Hedderich, D. M. Dieckmeyer, M. Diefenbach, M. N. Ruschke, S. Rummeny, E. J. Zimmer, C. Kirschke, J. S. Karampinos, D. C. Baum, T. Osteoporos Int Original Article SUMMARY: This feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow using chemical shift encoding–based water-fat MRI. Acquired texture features like contrast and dissimilarity allowed for differentiation of pre- and postmenopausal women and may serve as imaging biomarkers in the future. INTRODUCTION: While the vertebral bone marrow fat using chemical shift encoding water-fat magnetic resonance imaging (MRI) has been extensively studied, its spatial heterogeneity has not been analyzed yet. Therefore, this feasibility study investigated the spatial heterogeneity of the lumbar vertebral bone marrow by using texture analysis in proton density fat fraction (PDFF) maps. METHODS: Forty-one healthy pre- and postmenopausal women were recruited for this study (premenopausal (n = 15) 30 ± 7 years, postmenopausal (n = 26) 65 ± 7 years). An eight-echo 3D spoiled gradient echo sequence was used for chemical shift encoding–based water-fat separation at the lumbar spine. Vertebral bodies L1 to L5 were manually segmented. Mean PDFF values and texture features were extracted at each vertebral level, namely variance, skewness, and kurtosis, using statistical moments and second-order features (energy, contrast, correlation, homogeneity, dissimilarity, entropy, variance, and sum average). Parameters were compared between pre- and postmenopausal women and vertebral levels. RESULTS: PDFF was significantly higher in post- than in premenopausal women (49.37 ± 8.14% versus 27.76 ± 7.30%, p < 0.05). Furthermore, PDFF increased from L1 to L5 (L1 37.93 ± 12.85%, L2 38.81 ± 12.77%, L3 40.23 ± 12.72%, L4 42.80 ± 13.27%, L5 45.21 ± 14.55%, p < 0.05). Bone marrow heterogeneity based on texture analysis was significantly (p < 0.05) increased in postmenopausal women. Contrast and dissimilarity performed best in differentiating pre- and postmenopausal women (AUC = 0.97 and 0.96, respectively), not significantly different compared with PDFF (AUC = 0.97). CONCLUSION: Conclusively, an increased bone marrow heterogeneity could be observed in postmenopausal women. In the future, texture parameters might provide additional information to detect and monitor vertebral bone marrow alterations due to aging or hormonal changes beyond conventional anatomic imaging. Springer London 2019-03-22 2019 /pmc/articles/PMC6546652/ /pubmed/30903208 http://dx.doi.org/10.1007/s00198-019-04924-9 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Burian, E. Subburaj, K. Mookiah, M. R. K. Rohrmeier, A. Hedderich, D. M. Dieckmeyer, M. Diefenbach, M. N. Ruschke, S. Rummeny, E. J. Zimmer, C. Kirschke, J. S. Karampinos, D. C. Baum, T. Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title | Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title_full | Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title_fullStr | Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title_full_unstemmed | Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title_short | Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study |
title_sort | texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat mri: a feasibility study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546652/ https://www.ncbi.nlm.nih.gov/pubmed/30903208 http://dx.doi.org/10.1007/s00198-019-04924-9 |
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