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Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women

BACKGROUND: We aimed to investigate whether densitometry results and volumetric bone mineral density (vBMD) can predict vertebral fragility fractures (VFF) in postmenopausal women. METHODS: We enrolled 271 postmenopausal women aged >45 years who visited our hospital for health check-ups between S...

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Autores principales: Ryang, Soree, Jeon, Yun Kyung, Goh, Tae Sik, Kim, In-Joo, Kim, Keunyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Bone and Mineral Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036180/
https://www.ncbi.nlm.nih.gov/pubmed/36950843
http://dx.doi.org/10.11005/jbm.2023.30.1.77
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author Ryang, Soree
Jeon, Yun Kyung
Goh, Tae Sik
Kim, In-Joo
Kim, Keunyoung
author_facet Ryang, Soree
Jeon, Yun Kyung
Goh, Tae Sik
Kim, In-Joo
Kim, Keunyoung
author_sort Ryang, Soree
collection PubMed
description BACKGROUND: We aimed to investigate whether densitometry results and volumetric bone mineral density (vBMD) can predict vertebral fragility fractures (VFF) in postmenopausal women. METHODS: We enrolled 271 postmenopausal women aged >45 years who visited our hospital for health check-ups between September 2016 and September 2017. The lumbar spine (LS) and femoral neck (FN) densitometry results and trabecular bone score (TBS) were calculated using dual energy X-ray absorptiometry. vBMD was assessed using central quantitative computed tomography (cQCT). Baseline and follow-up X-ray images were reviewed to evaluate thoracolumbar vertebral compression fractures (CFs), according to the Genant criteria. RESULTS: At baseline, 76 patients (28.0%) had CF. Additional or progressive fractures were noted in 26 participants (9.6%) with a median follow-up of 19.5 months. The median TBS and cQCT were significantly higher in participants without baseline CF than those with baseline CF (P<0.001). During the follow-up, Kaplan–Meier analysis showed that T-scores of the LS and FN <−2.5, degraded microarchitecture based on the TBS (≤1.200), and vBMD <80 mg/cm(3) was significantly associated with future osteoporotic CF. The final multivariate Cox regression analysis showed that baseline CF and low TBS and vBMD were significant risk factors for future VFF. CONCLUSIONS: Participants with baseline CF and degraded microarchitecture had higher CF predisposition. Moreover, cQCT can predict future vertebral fractures.
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spelling pubmed-100361802023-03-24 Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women Ryang, Soree Jeon, Yun Kyung Goh, Tae Sik Kim, In-Joo Kim, Keunyoung J Bone Metab Original Article BACKGROUND: We aimed to investigate whether densitometry results and volumetric bone mineral density (vBMD) can predict vertebral fragility fractures (VFF) in postmenopausal women. METHODS: We enrolled 271 postmenopausal women aged >45 years who visited our hospital for health check-ups between September 2016 and September 2017. The lumbar spine (LS) and femoral neck (FN) densitometry results and trabecular bone score (TBS) were calculated using dual energy X-ray absorptiometry. vBMD was assessed using central quantitative computed tomography (cQCT). Baseline and follow-up X-ray images were reviewed to evaluate thoracolumbar vertebral compression fractures (CFs), according to the Genant criteria. RESULTS: At baseline, 76 patients (28.0%) had CF. Additional or progressive fractures were noted in 26 participants (9.6%) with a median follow-up of 19.5 months. The median TBS and cQCT were significantly higher in participants without baseline CF than those with baseline CF (P<0.001). During the follow-up, Kaplan–Meier analysis showed that T-scores of the LS and FN <−2.5, degraded microarchitecture based on the TBS (≤1.200), and vBMD <80 mg/cm(3) was significantly associated with future osteoporotic CF. The final multivariate Cox regression analysis showed that baseline CF and low TBS and vBMD were significant risk factors for future VFF. CONCLUSIONS: Participants with baseline CF and degraded microarchitecture had higher CF predisposition. Moreover, cQCT can predict future vertebral fractures. The Korean Society for Bone and Mineral Research 2023-02 2023-02-28 /pmc/articles/PMC10036180/ /pubmed/36950843 http://dx.doi.org/10.11005/jbm.2023.30.1.77 Text en Copyright © 2023 The Korean Society for Bone and Mineral Research https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ryang, Soree
Jeon, Yun Kyung
Goh, Tae Sik
Kim, In-Joo
Kim, Keunyoung
Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title_full Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title_fullStr Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title_full_unstemmed Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title_short Trabecular Bone Score and Central Quantitative Computed Tomography for the Prediction of Vertebral Fragility Fractures in Postmenopausal Women
title_sort trabecular bone score and central quantitative computed tomography for the prediction of vertebral fragility fractures in postmenopausal women
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036180/
https://www.ncbi.nlm.nih.gov/pubmed/36950843
http://dx.doi.org/10.11005/jbm.2023.30.1.77
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