Li Yang1, Shengxiang Rao1, Wentao Wang1, Caizhong Chen1, Ying Ding1, Chun Yang1, Robert Grimm2, Xu Yan3, Caixia Fu4, Mengsu Zeng5. 1. Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China. 2. MR Applications Predevelopment, Siemens Healthcare, Erlangen, Germany. 3. MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China. 4. Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China. 5. Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China. zengmengsu@outlook.com.
Abstract
OBJECTIVES: To assess liver fibrosis in patients with chronic liver disease using diffusion kurtosis imaging (DKI) in comparison with conventional diffusion-weighted imaging, with histology as reference standard. METHODS: This prospective study included 81 patients and DKI with b-values of 0, 200, 500, 1,000, 1,500, 2,000 s/mm2 were performed. Mean diffusivity (MD), mean kurtosis (MK) and apparent diffusion coefficient (ADC) maps were calculated. The diagnostic efficacy of MD, MK and ADC for predicting stage 2 fibrosis or greater, and stage 3 fibrosis or greater were compared. RESULTS: The MD (rho=-0.491, p<0.001), MK (rho=0.537, p<0.001) and ADC (rho=-0.496, p<0.001) correlated significantly with fibrosis stages, and ADC exhibited a strong negative correlation with MK (rho=-0.968; p<0.001) and a moderate association with MD (rho=0.601, p<0.001). Areas under the curves (AUCs) for predicting stage 2 fibrosis or greater were not significantly different (p>0.05) between MK (0.809) and ADC (0.797) as well as between MD (0.715) and ADC. AUCs were also similar for MD (0.710), MK (0.768) and ADC (0.747) for predicting stage 3 fibrosis or greater. CONCLUSION: Although DKI is feasible for predicting liver fibrosis in patients with chronic liver disease, MD and MK offer similar diagnostic performance to ADC values. KEY POINTS: • Diffusion kurtosis imaging is feasible for staging liver fibrosis. • Diffusion kurtosis and monoexponential model are highly correlated. • The kurtosis model offers no added value to the conventional, monoexponential model.
OBJECTIVES: To assess liver fibrosis in patients with chronic liver disease using diffusion kurtosis imaging (DKI) in comparison with conventional diffusion-weighted imaging, with histology as reference standard. METHODS: This prospective study included 81 patients and DKI with b-values of 0, 200, 500, 1,000, 1,500, 2,000 s/mm2 were performed. Mean diffusivity (MD), mean kurtosis (MK) and apparent diffusion coefficient (ADC) maps were calculated. The diagnostic efficacy of MD, MK and ADC for predicting stage 2 fibrosis or greater, and stage 3 fibrosis or greater were compared. RESULTS: The MD (rho=-0.491, p<0.001), MK (rho=0.537, p<0.001) and ADC (rho=-0.496, p<0.001) correlated significantly with fibrosis stages, and ADC exhibited a strong negative correlation with MK (rho=-0.968; p<0.001) and a moderate association with MD (rho=0.601, p<0.001). Areas under the curves (AUCs) for predicting stage 2 fibrosis or greater were not significantly different (p>0.05) between MK (0.809) and ADC (0.797) as well as between MD (0.715) and ADC. AUCs were also similar for MD (0.710), MK (0.768) and ADC (0.747) for predicting stage 3 fibrosis or greater. CONCLUSION: Although DKI is feasible for predicting liver fibrosis in patients with chronic liver disease, MD and MK offer similar diagnostic performance to ADC values. KEY POINTS: • Diffusion kurtosis imaging is feasible for staging liver fibrosis. • Diffusion kurtosis and monoexponential model are highly correlated. • The kurtosis model offers no added value to the conventional, monoexponential model.
Authors: Siddharth Singh; Sudhakar K Venkatesh; Rohit Loomba; Zhen Wang; Claude Sirlin; Jun Chen; Meng Yin; Frank H Miller; Russell N Low; Tarek Hassanein; Edmund M Godfrey; Patrick Asbach; Mohammad Hassan Murad; David J Lomas; Jayant A Talwalkar; Richard L Ehman Journal: Eur Radiol Date: 2015-08-28 Impact factor: 5.315
Authors: Helena S Leitão; Sabrina Doblas; Philippe Garteiser; Gaspard d'Assignies; Valérie Paradis; Feryel Mouri; Carlos F G C Geraldes; Maxime Ronot; Bernard E Van Beers Journal: Radiology Date: 2016-10-27 Impact factor: 11.105