Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging

Detalhes bibliográficos
Autor(a) principal: Maciel, Jamilly Gomes
Data de Publicação: 2020
Outros Autores: Araújo, Iana Mizumukai de, Trazzi, Lucio C., Azevedo-Marques, Paulo Mazzoncini de, Salmon, Carlos Ernesto Garrido, Paula, Francisco José Albuquerque de, Nogueira-Barbosa, Marcello Henrique
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/174199
Resumo: OBJECTIVE: Dual-energy X-ray absorptiometry (DXA)-derived bone mineral density (BMD) often fails to predict fragility fractures. Quantitative textural analysis using magnetic resonance imaging (MRI) may potentially yield useful radiomic features to predict fractures. We aimed to investigate the correlation between BMD and texture attributes (TAs) extracted from MRI scans and the interobserver reproducibility of the analysis. METHODS: Forty-nine volunteers underwent lumbar spine 1.5-T MRI and DXA. Three-dimensional (3-D) graylevel co-occurrence matrices were measured from routine sagittal T2 fast spin-echo images using the IBEX software. Twenty-two TAs were extracted from 3-D segmented L3 vertebrae. The estimated concordance coefficient was calculated using linear regression analysis. A Pearson correlation coefficient analysis was performed to evaluate the correlation between BMD and the TAs. Interobserver reproducibility was assessed with the concordance coefficient described by Lin. RESULTS: The results revealed a fair-to-moderate significant correlation between BMD and 13 TAs (r= 0.20 to 0.39; po0.05). Eight TAs (autocorrelation, energy, homogeneity 1, homogeneity 1.1, maximum probability, sum average, sum variance, and inverse difference normalized) negatively correlated with BMD (r= 0.20 to 0.38; po0.05), whereas five TAs (dissimilarity, difference entropy, entropy, sum entropy, and information measure corr 1) positively correlated with BMD (r=0.29–0.39; po0.05). The interobserver agreement was almost perfect for all significant TAs (95% confidence interval, 0.92–1.00; po0.05). CONCLUSION: Specific TAs could be reliably extracted from routine MRI and correlated with BMD. Our results encourage future evaluation of the potential usefulness of quantitative texture measurements from MRI scans for predicting fragility fractures.
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spelling Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imagingMagnetic Resonance ImagingTextural AttributeBone Mineral DensityOBJECTIVE: Dual-energy X-ray absorptiometry (DXA)-derived bone mineral density (BMD) often fails to predict fragility fractures. Quantitative textural analysis using magnetic resonance imaging (MRI) may potentially yield useful radiomic features to predict fractures. We aimed to investigate the correlation between BMD and texture attributes (TAs) extracted from MRI scans and the interobserver reproducibility of the analysis. METHODS: Forty-nine volunteers underwent lumbar spine 1.5-T MRI and DXA. Three-dimensional (3-D) graylevel co-occurrence matrices were measured from routine sagittal T2 fast spin-echo images using the IBEX software. Twenty-two TAs were extracted from 3-D segmented L3 vertebrae. The estimated concordance coefficient was calculated using linear regression analysis. A Pearson correlation coefficient analysis was performed to evaluate the correlation between BMD and the TAs. Interobserver reproducibility was assessed with the concordance coefficient described by Lin. RESULTS: The results revealed a fair-to-moderate significant correlation between BMD and 13 TAs (r= 0.20 to 0.39; po0.05). Eight TAs (autocorrelation, energy, homogeneity 1, homogeneity 1.1, maximum probability, sum average, sum variance, and inverse difference normalized) negatively correlated with BMD (r= 0.20 to 0.38; po0.05), whereas five TAs (dissimilarity, difference entropy, entropy, sum entropy, and information measure corr 1) positively correlated with BMD (r=0.29–0.39; po0.05). The interobserver agreement was almost perfect for all significant TAs (95% confidence interval, 0.92–1.00; po0.05). CONCLUSION: Specific TAs could be reliably extracted from routine MRI and correlated with BMD. Our results encourage future evaluation of the potential usefulness of quantitative texture measurements from MRI scans for predicting fragility fractures.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2020-08-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/xmlhttps://www.revistas.usp.br/clinics/article/view/17419910.6061/clinics/2020/e1766Clinics; Vol. 75 (2020); e1766Clinics; v. 75 (2020); e1766Clinics; Vol. 75 (2020); e17661980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/174199/163048https://www.revistas.usp.br/clinics/article/view/174199/163049Copyright (c) 2020 Clinicsinfo:eu-repo/semantics/openAccessMaciel, Jamilly GomesAraújo, Iana Mizumukai deTrazzi, Lucio C.Azevedo-Marques, Paulo Mazzoncini deSalmon, Carlos Ernesto GarridoPaula, Francisco José Albuquerque deNogueira-Barbosa, Marcello Henrique2020-08-27T22:07:10Zoai:revistas.usp.br:article/174199Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2020-08-27T22:07:10Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
title Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
spellingShingle Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
Maciel, Jamilly Gomes
Magnetic Resonance Imaging
Textural Attribute
Bone Mineral Density
title_short Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
title_full Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
title_fullStr Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
title_full_unstemmed Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
title_sort Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging
author Maciel, Jamilly Gomes
author_facet Maciel, Jamilly Gomes
Araújo, Iana Mizumukai de
Trazzi, Lucio C.
Azevedo-Marques, Paulo Mazzoncini de
Salmon, Carlos Ernesto Garrido
Paula, Francisco José Albuquerque de
Nogueira-Barbosa, Marcello Henrique
author_role author
author2 Araújo, Iana Mizumukai de
Trazzi, Lucio C.
Azevedo-Marques, Paulo Mazzoncini de
Salmon, Carlos Ernesto Garrido
Paula, Francisco José Albuquerque de
Nogueira-Barbosa, Marcello Henrique
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Maciel, Jamilly Gomes
Araújo, Iana Mizumukai de
Trazzi, Lucio C.
Azevedo-Marques, Paulo Mazzoncini de
Salmon, Carlos Ernesto Garrido
Paula, Francisco José Albuquerque de
Nogueira-Barbosa, Marcello Henrique
dc.subject.por.fl_str_mv Magnetic Resonance Imaging
Textural Attribute
Bone Mineral Density
topic Magnetic Resonance Imaging
Textural Attribute
Bone Mineral Density
description OBJECTIVE: Dual-energy X-ray absorptiometry (DXA)-derived bone mineral density (BMD) often fails to predict fragility fractures. Quantitative textural analysis using magnetic resonance imaging (MRI) may potentially yield useful radiomic features to predict fractures. We aimed to investigate the correlation between BMD and texture attributes (TAs) extracted from MRI scans and the interobserver reproducibility of the analysis. METHODS: Forty-nine volunteers underwent lumbar spine 1.5-T MRI and DXA. Three-dimensional (3-D) graylevel co-occurrence matrices were measured from routine sagittal T2 fast spin-echo images using the IBEX software. Twenty-two TAs were extracted from 3-D segmented L3 vertebrae. The estimated concordance coefficient was calculated using linear regression analysis. A Pearson correlation coefficient analysis was performed to evaluate the correlation between BMD and the TAs. Interobserver reproducibility was assessed with the concordance coefficient described by Lin. RESULTS: The results revealed a fair-to-moderate significant correlation between BMD and 13 TAs (r= 0.20 to 0.39; po0.05). Eight TAs (autocorrelation, energy, homogeneity 1, homogeneity 1.1, maximum probability, sum average, sum variance, and inverse difference normalized) negatively correlated with BMD (r= 0.20 to 0.38; po0.05), whereas five TAs (dissimilarity, difference entropy, entropy, sum entropy, and information measure corr 1) positively correlated with BMD (r=0.29–0.39; po0.05). The interobserver agreement was almost perfect for all significant TAs (95% confidence interval, 0.92–1.00; po0.05). CONCLUSION: Specific TAs could be reliably extracted from routine MRI and correlated with BMD. Our results encourage future evaluation of the potential usefulness of quantitative texture measurements from MRI scans for predicting fragility fractures.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/174199
10.6061/clinics/2020/e1766
url https://www.revistas.usp.br/clinics/article/view/174199
identifier_str_mv 10.6061/clinics/2020/e1766
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/174199/163048
https://www.revistas.usp.br/clinics/article/view/174199/163049
dc.rights.driver.fl_str_mv Copyright (c) 2020 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/xml
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 75 (2020); e1766
Clinics; v. 75 (2020); e1766
Clinics; Vol. 75 (2020); e1766
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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