Jun Ran1, Cuilin Yin1, Chanyuan Liu1, Yitong Li1, Bowen Hou1, John N Morelli2, Bin Dai3, Xiaoming Li4. 1. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China. 2. Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. 3. Department of General Surgery, General Hospital of the Central Theater Command of the People's Liberation Army, Wuhan, People's Republic of China. 4. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095, Jiefang Road, Wuhan 430030, Hubei Province, People's Republic of China. Electronic address: lilyboston2002@sina.com.
Abstract
RATIONALE AND OBJECTIVES: To confirm the feasibility and compare the accuracy of magnetic resonance imaging intravoxel incoherent motion (IVIM) and T2 mapping models for the differentiation of autoimmune myositis from muscular dystrophy. MATERIALS AND METHODS: Fourty-two autoimmune myositis and 11 muscular dystrophy patients proven by diagnostic criteria were enrolled in the study. Conventional MR sequences, IVIM, and T2 mapping through the bilateral thighs were obtained as well as blood samples for all patients. IVIM and T2 mapping parameters as well as serum markers were compared between the autoimmune myositis and muscular dystrophy groups. Mann-Whitney U tests were performed for statistical analysis along with receiver operating characteristic curves. Spearman correlation coefficient models were constructed to analyze the correlation between IVIM and T2 mapping with serological parameters. RESULTS: The intramuscular apparent diffusion coefficient, tissue diffusivity (D), perfusion fraction (fp), and T2 relaxation time values were statistically significantly different between the autoimmune myositis and muscular dystrophy groups (p < 0.05). Pseudo diffusivity (Dp) values showed no statistical difference between the groups (p > 0.05). D parameter of IVIM sequences differentiated autoimmune and muscular dystrophy with a higher specificity of 75.60%. T2 values within the thighs were correlated with serum creatine kinase and lactate dehydrogenase levels (p < 0.05). CONCLUSION: Thigh muscle IVIM and T2 mapping parameters are useful in differentiating autoimmune myositis from muscular dystrophy, particularly the IVIM parameters.
RATIONALE AND OBJECTIVES: To confirm the feasibility and compare the accuracy of magnetic resonance imaging intravoxel incoherent motion (IVIM) and T2 mapping models for the differentiation of autoimmune myositis from muscular dystrophy. MATERIALS AND METHODS: Fourty-two autoimmune myositis and 11 muscular dystrophypatients proven by diagnostic criteria were enrolled in the study. Conventional MR sequences, IVIM, and T2 mapping through the bilateral thighs were obtained as well as blood samples for all patients. IVIM and T2 mapping parameters as well as serum markers were compared between the autoimmune myositis and muscular dystrophy groups. Mann-Whitney U tests were performed for statistical analysis along with receiver operating characteristic curves. Spearman correlation coefficient models were constructed to analyze the correlation between IVIM and T2 mapping with serological parameters. RESULTS: The intramuscular apparent diffusion coefficient, tissue diffusivity (D), perfusion fraction (fp), and T2 relaxation time values were statistically significantly different between the autoimmune myositis and muscular dystrophy groups (p < 0.05). Pseudo diffusivity (Dp) values showed no statistical difference between the groups (p > 0.05). D parameter of IVIM sequences differentiated autoimmune and muscular dystrophy with a higher specificity of 75.60%. T2 values within the thighs were correlated with serum creatine kinase and lactate dehydrogenase levels (p < 0.05). CONCLUSION: Thigh muscle IVIM and T2 mapping parameters are useful in differentiating autoimmune myositis from muscular dystrophy, particularly the IVIM parameters.
Authors: Karl Ludger Radke; Daniel B Abrar; Miriam Frenken; Lena Marie Wilms; Benedikt Kamp; Matthias Boschheidgen; Patrick Liebig; Alexandra Ljimani; Timm Joachim Filler; Gerald Antoch; Sven Nebelung; Hans-Jörg Wittsack; Anja Müller-Lutz Journal: Tomography Date: 2022-05-07