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Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry

BACKGROUND: Robust evidence on whether diagnostic discordance exists between lumbar osteoporosis detected by quantitative computed tomography (QCT) vs. dual-energy X-ray absorptiometry (DXA) is still lacking. In this study involving a relatively large prospective cohort of older men (aged > 60 ye...

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Autores principales: Lin, Wentao, He, Chaoqin, Xie, Faqin, Chen, Tao, Zheng, Guanghao, Yin, Houjie, Chen, Haixiong, Wang, Zhiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108496/
https://www.ncbi.nlm.nih.gov/pubmed/37069511
http://dx.doi.org/10.1186/s12877-023-03963-6
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author Lin, Wentao
He, Chaoqin
Xie, Faqin
Chen, Tao
Zheng, Guanghao
Yin, Houjie
Chen, Haixiong
Wang, Zhiyun
author_facet Lin, Wentao
He, Chaoqin
Xie, Faqin
Chen, Tao
Zheng, Guanghao
Yin, Houjie
Chen, Haixiong
Wang, Zhiyun
author_sort Lin, Wentao
collection PubMed
description BACKGROUND: Robust evidence on whether diagnostic discordance exists between lumbar osteoporosis detected by quantitative computed tomography (QCT) vs. dual-energy X-ray absorptiometry (DXA) is still lacking. In this study involving a relatively large prospective cohort of older men (aged > 60 years) and postmenopausal women, we assessed lumbar QCT-derived volumetric bone mineral density (vBMD) and DXA-derived area BMD and evaluated their predictive performance for prevalent vertebral fracture (VF). METHODS: A total of 501 patients who underwent spinal surgery from September 2020 to September 2022 were enrolled. The criteria recommended by the American College of Radiology and the World Health Organization were used for lumbar osteoporosis diagnosis. The osteoporosis detection rates between QCT and DXA were compared. QCT-vBMD was plotted against the DXA T score, and the line of best fit was calculated based on linear regression. Multivariate logistic regression was used to analyze the associations between risk factors and VF. Receiver operating characteristic curve analysis was performed, and the corresponding area under the curve (AUC) was calculated. RESULTS: QCT screening showed that 60.7% of patients had osteoporosis, whereas DXA screening showed that 50.7% of patients had osteoporosis. Diagnoses were concordant for 325 (64.9%) patients. In all, 205 patients suffered a VF of at least one anatomic level. Of these, 84.4% (173/205) were diagnosed with osteoporosis by QCT, while only 73.2% (150/205) were diagnosed by DXA. Multivariate logistic regression showed that osteoporosis detected by QCT exhibited a stronger relationship with VF than that detected by DXA (unadjusted OR, 6.81 vs. 5.04; adjusted OR, 3.44 vs. 2.66). For discrimination between patients with and without VF, QCT-vBMD (AUC = 0.802) showed better performance than DXA T score (AUC = 0.76). CONCLUSION: In older patients undergoing spinal surgery, QCT-vBMD is more helpful than DXA in terms of osteoporosis detection rate and prediction of patients with prevalent VFs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03963-6.
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spelling pubmed-101084962023-04-18 Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry Lin, Wentao He, Chaoqin Xie, Faqin Chen, Tao Zheng, Guanghao Yin, Houjie Chen, Haixiong Wang, Zhiyun BMC Geriatr Research BACKGROUND: Robust evidence on whether diagnostic discordance exists between lumbar osteoporosis detected by quantitative computed tomography (QCT) vs. dual-energy X-ray absorptiometry (DXA) is still lacking. In this study involving a relatively large prospective cohort of older men (aged > 60 years) and postmenopausal women, we assessed lumbar QCT-derived volumetric bone mineral density (vBMD) and DXA-derived area BMD and evaluated their predictive performance for prevalent vertebral fracture (VF). METHODS: A total of 501 patients who underwent spinal surgery from September 2020 to September 2022 were enrolled. The criteria recommended by the American College of Radiology and the World Health Organization were used for lumbar osteoporosis diagnosis. The osteoporosis detection rates between QCT and DXA were compared. QCT-vBMD was plotted against the DXA T score, and the line of best fit was calculated based on linear regression. Multivariate logistic regression was used to analyze the associations between risk factors and VF. Receiver operating characteristic curve analysis was performed, and the corresponding area under the curve (AUC) was calculated. RESULTS: QCT screening showed that 60.7% of patients had osteoporosis, whereas DXA screening showed that 50.7% of patients had osteoporosis. Diagnoses were concordant for 325 (64.9%) patients. In all, 205 patients suffered a VF of at least one anatomic level. Of these, 84.4% (173/205) were diagnosed with osteoporosis by QCT, while only 73.2% (150/205) were diagnosed by DXA. Multivariate logistic regression showed that osteoporosis detected by QCT exhibited a stronger relationship with VF than that detected by DXA (unadjusted OR, 6.81 vs. 5.04; adjusted OR, 3.44 vs. 2.66). For discrimination between patients with and without VF, QCT-vBMD (AUC = 0.802) showed better performance than DXA T score (AUC = 0.76). CONCLUSION: In older patients undergoing spinal surgery, QCT-vBMD is more helpful than DXA in terms of osteoporosis detection rate and prediction of patients with prevalent VFs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-03963-6. BioMed Central 2023-04-17 /pmc/articles/PMC10108496/ /pubmed/37069511 http://dx.doi.org/10.1186/s12877-023-03963-6 Text en © The Author(s) 2023 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
Lin, Wentao
He, Chaoqin
Xie, Faqin
Chen, Tao
Zheng, Guanghao
Yin, Houjie
Chen, Haixiong
Wang, Zhiyun
Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title_full Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title_fullStr Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title_full_unstemmed Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title_short Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry
title_sort quantitative ct screening improved lumbar bmd evaluation in older patients compared to dual-energy x-ray absorptiometry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108496/
https://www.ncbi.nlm.nih.gov/pubmed/37069511
http://dx.doi.org/10.1186/s12877-023-03963-6
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