We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Comparing and combining MRE, T1ρ, SWI, IVIM, and DCE‐MRI for the staging of liver fibrosis in rabbits: Assessment of a predictive model based on multiparametric MRI.
- Authors
Zou, Liqiu; Jiang, Jinzhao; Zhang, Hao; Zhong, Wenxin; Xiao, Min; Xin, Shunbao; Wang, Yang; Xing, Wei
- Abstract
Purpose: To establish and validate an optimal predictive model based on multiparametric MRI for staging liver fibrosis (LF) in rabbits with magnetic resonance elastography (MRE), spin‐lattice relaxation time in the rotating frame (T1ρ imaging), SWI, intravoxel incoherent motion (IVIM), and DCE‐MRI. Methods: The LF group included 120 rabbits induced by subcutaneous injections of carbon tetrachloride (CCl4); 30 normal rabbits served as the control group. Multiparametric MRI was performed, including MRE, T1ρ, SWI, IVIM, and DCE‐MRI. The quantitative parameters were analyzed in two groups, with histopathological results serving as the reference standard. The diagnostic performance of multiparametric MRI and the predictive model established by multivariable logistic regression analysis were evaluated by receiver operating characteristic (ROC) curve analysis. Results: In total, 32, 67, and 51 rabbits were histologically diagnosed as no fibrosis (stage F0), early‐stage LF (F1–F2), and advanced‐stage LF (F3–F4), respectively. The LF stages presented a strong correlation with liver stiffness (LS) on MRE (r = 0.90), signal‐intensity ratio (SIR) on SWI (r = −0.84), and Ktrans on DCE‐MRI (r = 0.71; p < 0.05 for all). The LS and SIR parameters had higher AUC values for distinguishing early‐stage LF from both no fibrosis (0.94 and 0.93, respectively) and advanced‐stage LF (0.95 and 0.87, respectively). The predictive model showed a slightly higher AUC value of 0.97 (0.90–0.99) than LS and SIR in distinguishing early‐stage LF from no fibrosis (p > 0.05), a significantly higher AUC value of 0.98 (0.93–0.99) than the SIR in distinguishing early‐stage from advanced‐stage LF (p < 0.05). Conclusion: SWI, DCE‐MRI, and MRE in particular showed improved performance for LF diagnosis and stage. The predictive model based on multiparametric MRI was found to further enhance diagnostic accuracy and could serve as an excellent imaging tool for staging LF.
- Subjects
HEPATIC fibrosis; PREDICTION models; MAGNETIC resonance imaging; RECEIVER operating characteristic curves; SPIN-lattice relaxation
- Publication
Magnetic Resonance in Medicine, 2022, Vol 87, Issue 5, p2424
- ISSN
0740-3194
- Publication type
Article
- DOI
10.1002/mrm.29126