BACKGROUND: To develop and evaluate a diffusion MRI-based apparent muscle fiber diameter (AFD) method in patients with muscle denervation. It was hypothesized that AFD differences between denervated, non-denervated and control muscles would be greater than those from standard diffusion metrics. METHODS: A spin-echo diffusion acquisition with multi-b-valued diffusion sampling was used. An orientation-invariant dictionary approach utilized a cylinder-based forward model and multi-compartment model for obtaining restricted and free fractions. Simulations were performed to determine precision, bias, and optimize dictionary parameters. In all, 18 exams of patients with muscle denervation and 8 exams of healthy subjects were performed at 3T. Six regions of interests (ROIs) within separate shoulder muscles were selected, yielding three groups consisting 47 control (healthy), 36 non-denervated (patients), and 68 denervated (patients) muscle ROIs. Two-sample t-tests (α=0.05) between groups were performed with Holm-Bonferroni correction. T2- and fat fraction (FF)-mapping were acquired for comparison. RESULTS: Mean AFD was 89.7±13.6 µm in control, 71.6±15.3 µm in non-denervated, and 60.7±15.9 µm in denervated muscles and were significantly different (P<0.001) in paired comparisons and in 10/12 individual muscle region comparisons. Correlation between AFD and FF (-0.331, P<0.001) was low, but correlation between FA and FF was negligible (0.197, P=0.016). Correlation was low between AFD and T2 (-0.395, P<0.001) and between FA and T2 (0.359, P<0.001). CONCLUSIONS: Diffusion MRI-based AFD complements T2- and FF-mapping techniques to non-invasively assess muscle denervation. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.
BACKGROUND: To develop and evaluate a diffusion MRI-based apparent muscle fiber diameter (AFD) method in patients with muscle denervation. It was hypothesized that AFD differences between denervated, non-denervated and control muscles would be greater than those from standard diffusion metrics. METHODS: A spin-echo diffusion acquisition with multi-b-valued diffusion sampling was used. An orientation-invariant dictionary approach utilized a cylinder-based forward model and multi-compartment model for obtaining restricted and free fractions. Simulations were performed to determine precision, bias, and optimize dictionary parameters. In all, 18 exams of patients with muscle denervation and 8 exams of healthy subjects were performed at 3T. Six regions of interests (ROIs) within separate shoulder muscles were selected, yielding three groups consisting 47 control (healthy), 36 non-denervated (patients), and 68 denervated (patients) muscle ROIs. Two-sample t-tests (α=0.05) between groups were performed with Holm-Bonferroni correction. T2- and fat fraction (FF)-mapping were acquired for comparison. RESULTS: Mean AFD was 89.7±13.6 µm in control, 71.6±15.3 µm in non-denervated, and 60.7±15.9 µm in denervated muscles and were significantly different (P<0.001) in paired comparisons and in 10/12 individual muscle region comparisons. Correlation between AFD and FF (-0.331, P<0.001) was low, but correlation between FA and FF was negligible (0.197, P=0.016). Correlation was low between AFD and T2 (-0.395, P<0.001) and between FA and T2 (0.359, P<0.001). CONCLUSIONS: Diffusion MRI-based AFD complements T2- and FF-mapping techniques to non-invasively assess muscle denervation. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Authors: Stefan Klein; Marius Staring; Keelin Murphy; Max A Viergever; Josien P W Pluim Journal: IEEE Trans Med Imaging Date: 2009-11-17 Impact factor: 10.048
Authors: David B Berry; Benjamin Regner; Vitaly Galinsky; Samuel R Ward; Lawrence R Frank Journal: Magn Reson Med Date: 2017-10-31 Impact factor: 4.668
Authors: Christopher D J Sinclair; Jasper M Morrow; Robert L Janiczek; Matthew R B Evans; Elham Rawah; Sachit Shah; Michael G Hanna; Mary M Reilly; Tarek A Yousry; John S Thornton Journal: NMR Biomed Date: 2016-11-03 Impact factor: 4.044
Authors: Ek T Tan; Kenneth C Serrano; Pravjit Bhatti; Farhad Pishgar; Alyssa M Vanderbeek; Carlo J Milani; Darryl B Sneag Journal: J Magn Reson Imaging Date: 2022-02-23 Impact factor: 5.119