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Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study

BACKGROUND: Highlighting a gap in comprehending bone microarchitecture’s intricacies using dual-energy X-ray absorptiometry (DXA), this study aims to bridge this chasm by analyzing texture in non-weight bearing regions on axial computed tomography (CT) scans. Our goal is to enrich osteoporosis patie...

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Autores principales: Kim, Min Woo, Huh, Jung Wook, Noh, Young Min, Seo, Han Eol, Lee, Dong Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644143/
https://www.ncbi.nlm.nih.gov/pubmed/37969628
http://dx.doi.org/10.21037/qims-23-512
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author Kim, Min Woo
Huh, Jung Wook
Noh, Young Min
Seo, Han Eol
Lee, Dong Ha
author_facet Kim, Min Woo
Huh, Jung Wook
Noh, Young Min
Seo, Han Eol
Lee, Dong Ha
author_sort Kim, Min Woo
collection PubMed
description BACKGROUND: Highlighting a gap in comprehending bone microarchitecture’s intricacies using dual-energy X-ray absorptiometry (DXA), this study aims to bridge this chasm by analyzing texture in non-weight bearing regions on axial computed tomography (CT) scans. Our goal is to enrich osteoporosis patient management by enhancing bone quality and microarchitecture insights. METHODS: Conducted at Busan Medical Center from March 1, 2013, to August 30, 2022, 1,320 cases (782 patients) were screened. After applying exclusion criteria, 458 samples (296 patients) underwent bone mineral density (BMD) assessment with both CT and DXA. Regions of interest (ROIs) included spine pedicle’s maximum trabecular area, sacrum Zone 1, superior/inferior pubic ramus, and femur’s greater/lesser trochanters. Texture features (n=45) were extracted from ROIs using gray-level co-occurrence matrices. A regression model predicted BMD, spotlighting the top five influential texture features. RESULTS: Correlation coefficients ranged from 0.709 (lowest for total femur BMD) to 0.804 (highest for femur intertrochanter BMD). Mean squared error (MSE) values were also provided for lumbar and femur BMD/bone mineral content (BMC) metrics. The most influential texture features included contrast_32, correlation_32_v, and three other metrics. CONCLUSIONS: By melding traditional DXA and CT texture analysis, our approach presents a comprehensive bone health perspective, potentially revolutionizing osteoporosis diagnostics.
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spelling pubmed-106441432023-11-15 Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study Kim, Min Woo Huh, Jung Wook Noh, Young Min Seo, Han Eol Lee, Dong Ha Quant Imaging Med Surg Original Article BACKGROUND: Highlighting a gap in comprehending bone microarchitecture’s intricacies using dual-energy X-ray absorptiometry (DXA), this study aims to bridge this chasm by analyzing texture in non-weight bearing regions on axial computed tomography (CT) scans. Our goal is to enrich osteoporosis patient management by enhancing bone quality and microarchitecture insights. METHODS: Conducted at Busan Medical Center from March 1, 2013, to August 30, 2022, 1,320 cases (782 patients) were screened. After applying exclusion criteria, 458 samples (296 patients) underwent bone mineral density (BMD) assessment with both CT and DXA. Regions of interest (ROIs) included spine pedicle’s maximum trabecular area, sacrum Zone 1, superior/inferior pubic ramus, and femur’s greater/lesser trochanters. Texture features (n=45) were extracted from ROIs using gray-level co-occurrence matrices. A regression model predicted BMD, spotlighting the top five influential texture features. RESULTS: Correlation coefficients ranged from 0.709 (lowest for total femur BMD) to 0.804 (highest for femur intertrochanter BMD). Mean squared error (MSE) values were also provided for lumbar and femur BMD/bone mineral content (BMC) metrics. The most influential texture features included contrast_32, correlation_32_v, and three other metrics. CONCLUSIONS: By melding traditional DXA and CT texture analysis, our approach presents a comprehensive bone health perspective, potentially revolutionizing osteoporosis diagnostics. AME Publishing Company 2023-09-14 2023-11-01 /pmc/articles/PMC10644143/ /pubmed/37969628 http://dx.doi.org/10.21037/qims-23-512 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Kim, Min Woo
Huh, Jung Wook
Noh, Young Min
Seo, Han Eol
Lee, Dong Ha
Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title_full Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title_fullStr Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title_full_unstemmed Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title_short Assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography Hounsfield units—a cross-sectional study
title_sort assessing bone mineral density in non-weight bearing regions of the body: a texture analysis approach using abdomen and pelvis computed tomography hounsfield units—a cross-sectional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644143/
https://www.ncbi.nlm.nih.gov/pubmed/37969628
http://dx.doi.org/10.21037/qims-23-512
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