Bhaskar Roy1, Basil T Darras2, Craig M Zaidman3, Jim S Wu1, Kush Kapur2, Seward B Rutkove4. 1. Beth Israel Deaconess Medical Center, Boston, MA, USA. 2. Boston Children's Hospital, Boston, MA, USA. 3. Washington University in St. Louis, MO, USA. 4. Beth Israel Deaconess Medical Center, Boston, MA, USA. Electronic address: srutkove@bidmc.harvard.edu.
Abstract
OBJECTIVES: Quantitative ultrasound (QUS), including grayscale level analysis (GLA) and quantitative backscatter analysis (QBA), and electrical impedance myography (EIM) have been proposed as biomarkers in Duchenne muscular dystrophy (DMD). However, the relationship between these methods has not been assessed. METHODS: QUS values (including GLA and QBA) and several EIM measures were recorded from six muscles in 36 DMD and 29 healthy boys between ages 5 and 13 years at baseline, 6-months, and 12-months. RESULTS: In the DMD boys, a moderate correlation was noted between QUS and EIM parameters, with the strongest correlations being identified for averaged muscle values. Of the individual muscles, biceps brachii and deltoid showed the strongest correlations. For example, in biceps, the QBA/EIM correlation coefficient (Spearman rho) was ≥0.70 (p < 0.01). Importantly, changes in QUS values over 12 months also correlated moderately with changes in EIM parameters and EIM/QBA rho values mostly varied between -0.53 and -0.70 (p ≤ 0.02). No significant correlations were identified in the healthy boys. CONCLUSIONS: A moderate correlation of QUS with EIM in DMD boys suggests that the two technologies provide related data but are sensitive to different pathological features of muscle. SIGNIFICANCE: The use of both technologies jointly in assessing DMD progression and response to therapy should be considered.
OBJECTIVES: Quantitative ultrasound (QUS), including grayscale level analysis (GLA) and quantitative backscatter analysis (QBA), and electrical impedance myography (EIM) have been proposed as biomarkers in Duchenne muscular dystrophy (DMD). However, the relationship between these methods has not been assessed. METHODS: QUS values (including GLA and QBA) and several EIM measures were recorded from six muscles in 36 DMD and 29 healthy boys between ages 5 and 13 years at baseline, 6-months, and 12-months. RESULTS: In the DMDboys, a moderate correlation was noted between QUS and EIM parameters, with the strongest correlations being identified for averaged muscle values. Of the individual muscles, biceps brachii and deltoid showed the strongest correlations. For example, in biceps, the QBA/EIM correlation coefficient (Spearman rho) was ≥0.70 (p < 0.01). Importantly, changes in QUS values over 12 months also correlated moderately with changes in EIM parameters and EIM/QBA rho values mostly varied between -0.53 and -0.70 (p ≤ 0.02). No significant correlations were identified in the healthy boys. CONCLUSIONS: A moderate correlation of QUS with EIM in DMDboys suggests that the two technologies provide related data but are sensitive to different pathological features of muscle. SIGNIFICANCE: The use of both technologies jointly in assessing DMD progression and response to therapy should be considered.
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