Abstract
Objectives: To compare the diagnostic performance of the stretched exponential model to those of other DWI models and transient elastography (TE) and to evaluate the influence of confounding factors on the staging of liver fibrosis. Methods: This retrospective study included 78 consecutive patients who underwent both DWI and TE. The distributed diffusion coefficient (DDC) and intravoxel heterogeneity index (α) from the stretched exponential model, apparent diffusion coefficient (ADC), perfusion fraction (f), pseudodiffusion coefficient (Dp), true diffusion coefficient (Dt), and TE were obtained. Associations between imaging parameters and pathological fibrosis, inflammation, and steatosis were evaluated using Spearman’s correlation and multiple regression analysis. Diagnostic accuracy of parameters for fibrosis staging was assessed via the Obuchowski measures. Results: DDC was the only parameter to differ between F0–1 and F2–3 (p < 0.001) and between F2–3 and F4 (p = 0.013). DDC showed significant correlation with fibrosis (p < 0.001) and inflammation (p = 0.001), but not with steatosis (p = 0.619), and was independently associated with only fibrosis in multiple regression analysis (β = − 0.114, p < 0.001). ADC, Dp, and Dt showed a significant correlation with steatosis (ps ≤ 0.038). DDC showed the highest diagnostic performance for liver fibrosis (0.717; 95% confidence interval, 0.653–0.765) followed by TE (0.681, 0.623–0.733) without a significant difference between DDC and TE (p > 0.999). Conclusions: DDC from the stretched exponential model is the most accurate DWI parameter with no confounding effect from steatosis and with overall similar diagnostic performance to TE. Key Points: • The distributed diffusion coefficient (DDC) from the stretched exponential model is the most accurate DWI parameter for staging liver fibrosis. • DDC and transient elastography have similar good diagnostic performance for evaluating liver fibrosis. • The stretched exponential DWI model has no confounding effect by steatosis, unlike other DWI models.
Original language | English |
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Pages (from-to) | 4813-4823 |
Number of pages | 11 |
Journal | European Radiology |
Volume | 31 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2021 Jul |
Bibliographical note
Funding Information:This study has received funding by a new faculty research seed money grant of Yonsei University College of Medicine for 2020 (2020-32-0040) and National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. NRF-2018R1C1B6002747).
Publisher Copyright:
© 2021, European Society of Radiology.
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging