Fatma Bilge Ergen1, Gulsah Gulal, Adalet Elcin Yildiz, Azim Celik, Jale Karakaya, Ustun Aydingoz. 1. From the *Department of Radiology, Hacettepe University School of Medicine, Ankara, Turkey; † Department of Radiology, Göztepe Teaching and Research Hospital, Istanbul, Turkey; ‡GE Healthcare, Istanbul, Turkey; and §Department of Biostatistics, Hacettepe University School of Medicine, Ankara, Turkey.
Abstract
OBJECTIVE: The aim of this study was to use the T2*-iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL) technique to estimate vertebral fat fraction (FF) and compare it with bone mineralization levels in females. MATERIALS AND METHODS: Forty-five (mean age, 49.5 years) consecutive women who underwent magnetic resonance imaging and spinal dual-energy x-ray absorptiometry bone mineral density (BMD) examination constituted the study population. Depending on t scores derived from dual-energy x-ray absorptiometry, the vertebrae were classified into 3 groups (1, healthy; 2, osteopenia; and 3, osteoporosis). The Spearman ρ test was used to investigate the presence of correlation between FF and BMD. Analysis of covariance was performed to compare the differences among the groups. The FF cutoff value for the prediction of osteoporosis/osteopenia was evaluated with the receiver operating characteristic curve analysis. RESULTS: We found a moderate negative correlation between BMD (grams per square centimeter) and FF (r = - 0.42), and it was statistically significant (P < 0.001). The FF mean of age-corrected group 1 (45.17%; SD, 1.3) was lower than that of groups 2 (51.77%; SD, 0.69) and 3 (50.82%; SD, 1.5), and the difference was statistically significant (P < 0.001, P = 0.021). The area under the receiver operating characteristic curve for FF was 0.80 (95% confidence interval, 0.72-0.86). The optimal cutoff point was obtained as 39%, and for this cutoff point, the sensitivity and the specificity were 93% and 60.3%, respectively. CONCLUSIONS: The T2*-IDEAL technique can be used as an alternative technique in estimation of FF, and it is possible to detect reduced bone mineralization of the vertebrae by estimation of FF value with this technique.
OBJECTIVE: The aim of this study was to use the T2*-iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL) technique to estimate vertebral fat fraction (FF) and compare it with bone mineralization levels in females. MATERIALS AND METHODS: Forty-five (mean age, 49.5 years) consecutive women who underwent magnetic resonance imaging and spinal dual-energy x-ray absorptiometry bone mineral density (BMD) examination constituted the study population. Depending on t scores derived from dual-energy x-ray absorptiometry, the vertebrae were classified into 3 groups (1, healthy; 2, osteopenia; and 3, osteoporosis). The Spearman ρ test was used to investigate the presence of correlation between FF and BMD. Analysis of covariance was performed to compare the differences among the groups. The FF cutoff value for the prediction of osteoporosis/osteopenia was evaluated with the receiver operating characteristic curve analysis. RESULTS: We found a moderate negative correlation between BMD (grams per square centimeter) and FF (r = - 0.42), and it was statistically significant (P < 0.001). The FF mean of age-corrected group 1 (45.17%; SD, 1.3) was lower than that of groups 2 (51.77%; SD, 0.69) and 3 (50.82%; SD, 1.5), and the difference was statistically significant (P < 0.001, P = 0.021). The area under the receiver operating characteristic curve for FF was 0.80 (95% confidence interval, 0.72-0.86). The optimal cutoff point was obtained as 39%, and for this cutoff point, the sensitivity and the specificity were 93% and 60.3%, respectively. CONCLUSIONS: The T2*-IDEAL technique can be used as an alternative technique in estimation of FF, and it is possible to detect reduced bone mineralization of the vertebrae by estimation of FF value with this technique.
Authors: Dimitrios C Karampinos; Stefan Ruschke; Michael Dieckmeyer; Maximilian Diefenbach; Daniela Franz; Alexandra S Gersing; Roland Krug; Thomas Baum Journal: J Magn Reson Imaging Date: 2017-06-01 Impact factor: 4.813
Authors: Michael Dieckmeyer; Stefan Ruschke; Alexander Rohrmeier; Jan Syväri; Ingo Einspieler; Vanadin Seifert-Klauss; Monika Schmidmayr; Stephan Metz; Jan S Kirschke; Ernst J Rummeny; Claus Zimmer; Dimitrios C Karampinos; Thomas Baum Journal: BMC Musculoskelet Disord Date: 2019-11-06 Impact factor: 2.362