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The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation
INTRODUCTION: As the radiomics technique using texture features in CT is adopted for accessing DXA-equivalent bone mineral density (BMD), this study aims to compare BMD by DXA and predicted BMD to investigate the impact of obesity and central obesity in general patients. MATERIALS AND METHODS: A tot...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791746/ https://www.ncbi.nlm.nih.gov/pubmed/36572868 http://dx.doi.org/10.1186/s12891-022-06076-0 |
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author | Kim, Min-Woo Lee, Dong-Ha Huh, Jung-Wook Bai, Jang-Whan |
author_facet | Kim, Min-Woo Lee, Dong-Ha Huh, Jung-Wook Bai, Jang-Whan |
author_sort | Kim, Min-Woo |
collection | PubMed |
description | INTRODUCTION: As the radiomics technique using texture features in CT is adopted for accessing DXA-equivalent bone mineral density (BMD), this study aims to compare BMD by DXA and predicted BMD to investigate the impact of obesity and central obesity in general patients. MATERIALS AND METHODS: A total of 710 cases (621 patients) obtained from May 6, 2012, to June 30, 2021, were used in the study. We focused both their abdomen & pelvis CT’s first lumbar vertebrae axial cuts to predict estimated BMD and bone mineral content (BMC). In each patient’s CT, we extracted the largest trabecular region of the L1 vertebral body as a region of interest (ROI) using the gray-level co-occurrence matrices (GLCM) technique, and linear regression was applied to predict the indices. Cases were divided by central obesity/overall obesity and normal group by body mass index (BMI), waist circumference (WC), or index of central obesity (ICO) standard. RESULTS: The coefficients were all above 0.73, respectively. P-values from ICO were over 0.05 when the measures were Hip BMD and Hip BMC. In contrast, those from ICO were 0.0131 and 0.0351 when the measures were L1 BMD and L1 BMC, respectively, which show a difference between the two groups. CONCLUSIONS: The CT HU texture analysis method was an effective and economical method for measuring estimated BMD and BMC and evaluating the impact of obesity. We found that central obesity especially exerted an effect on the disturbance of the clinical BMD measurements since groups were significantly different under the ICO standard. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-06076-0. |
format | Online Article Text |
id | pubmed-9791746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97917462022-12-27 The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation Kim, Min-Woo Lee, Dong-Ha Huh, Jung-Wook Bai, Jang-Whan BMC Musculoskelet Disord Research INTRODUCTION: As the radiomics technique using texture features in CT is adopted for accessing DXA-equivalent bone mineral density (BMD), this study aims to compare BMD by DXA and predicted BMD to investigate the impact of obesity and central obesity in general patients. MATERIALS AND METHODS: A total of 710 cases (621 patients) obtained from May 6, 2012, to June 30, 2021, were used in the study. We focused both their abdomen & pelvis CT’s first lumbar vertebrae axial cuts to predict estimated BMD and bone mineral content (BMC). In each patient’s CT, we extracted the largest trabecular region of the L1 vertebral body as a region of interest (ROI) using the gray-level co-occurrence matrices (GLCM) technique, and linear regression was applied to predict the indices. Cases were divided by central obesity/overall obesity and normal group by body mass index (BMI), waist circumference (WC), or index of central obesity (ICO) standard. RESULTS: The coefficients were all above 0.73, respectively. P-values from ICO were over 0.05 when the measures were Hip BMD and Hip BMC. In contrast, those from ICO were 0.0131 and 0.0351 when the measures were L1 BMD and L1 BMC, respectively, which show a difference between the two groups. CONCLUSIONS: The CT HU texture analysis method was an effective and economical method for measuring estimated BMD and BMC and evaluating the impact of obesity. We found that central obesity especially exerted an effect on the disturbance of the clinical BMD measurements since groups were significantly different under the ICO standard. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-06076-0. BioMed Central 2022-12-26 /pmc/articles/PMC9791746/ /pubmed/36572868 http://dx.doi.org/10.1186/s12891-022-06076-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kim, Min-Woo Lee, Dong-Ha Huh, Jung-Wook Bai, Jang-Whan The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title | The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title_full | The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title_fullStr | The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title_full_unstemmed | The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title_short | The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation |
title_sort | impact of obesity on the accuracy of dxa bmd for dxa-equivalent bmd estimation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791746/ https://www.ncbi.nlm.nih.gov/pubmed/36572868 http://dx.doi.org/10.1186/s12891-022-06076-0 |
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