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

Author(s)

Jamilly Gomes Maciel ^[1] ; Iana Mizumukai de Araújo ^[2] ; Lucio C. Trazzi ^[3] ; Paulo Mazzoncini de Azevedo-Marques ^[4] ; Carlos Ernesto Garrido Salmon ^[5] ; Francisco José Albuquerque de Paula ^[6] ; Marcello Henrique Nogueira-Barbosa ^[7]

Affiliation

^[1] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Departamento de Imagens Medicas, Hematologia e Oncologia Clinica - Brasil

^[2] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Medicina Interna - Brasil

^[3] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Departamento de Imagens Medicas, Hematologia e Oncologia Clinica - Brasil

^[4] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Departamento de Imagens Medicas, Hematologia e Oncologia Clinica - Brasil

^[5] Universidade de São Paulo. Faculdade de Filosofia, Ciencias e Letras (FFCL). Departamento de Fisica - Brasil

^[6] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Medicina Interna - Brasil

^[7] Universidade de Sao Paulo. Faculdade de Medicina de Ribeirao Preto (FMRP). Departamento de Imagens Medicas, Hematologia e Oncologia Clinica - Brasil

• Document type: Journal article
• Source: Clinics; v. 75, 2020-08-26.

Abstract

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) gray-level 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; p<0.05). 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; p<0.05), whereas five TAs (dissimilarity, difference entropy, entropy, sum entropy, and information measure corr 1) positively correlated with BMD (r=0.29-0.39; p<0.05). The interobserver agreement was almost perfect for all significant TAs (95% confidence interval, 0.92-1.00; p<0.05). 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. (AU)

• FAPESP's process: 18/04266-9 - Multiparametric analysis of lumbar vertebrae texture on magnetic resonance imaging and correlation with fragility fractures.
• Grantee: Marcello Henrique Nogueira Barbosa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/14060-9 - The use of magnetic resonance imaging in the quantitative study of bone microarchitecture and its relatioship with the accumulation of muscle and bone marrow adipose tissue in type 2 diabetes mellitus
• Grantee: Francisco José Albuquerque de Paula
• Support Opportunities: Regular Research Grants