Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary Results

Abstract

Purpose: The staging of liver fibrosis is clinically important, and a less invasive method is preferred. Quantitative susceptibility mapping (QSM) has shown a great potential in estimating liver fibrosis in addition to R2* relaxometry. However, few studies have compared QSM analysis and liver fibrosis. We aimed to evaluate the feasibility of estimating liver fibrosis by using QSM and R2*-based histogram analyses by comparing it with ultrasound-based transient elastography and the stage of histologic fibrosis. Methods: Fourteen patients with liver disease were enrolled.Datasetsofmulti-echogradientecho sequence with breath-holding were acquired on a 3-Tesla scanner. QSM and R2* were reconstructed by water–fat separation method, and ROIs were analyzed for these images. Quantitative parameters with histogram features (mean, variance, skewness, kurtosis, and 1st, 10th, 50th, 90th, and 99th percentiles) were extracted. These data were compared with the elasticity measured by ultrasound transient elastography and histological stage of liver fibrosis (F0 to F4, based on the new Inuyama classification) determined by biopsy or hepatectomy. The correlation of histogram parameters with intrahepatic elasticity and histologically confirmed fibrosis stage was examined. Texture parameters were compared between subgroups divided according to fibrosis stage. Receiver operating character-istic (ROC) analysis was also performed. P < 0.05 indicated statistical significance. Results: The six histogram parameters of both QSM and R2*were significantly correlated with intrahe-patic elasticity. In particular, three parameters (variance, percentiles [90th and 99th]) of QSM showed high correlation (r = 0.818–0.844), whereas R2* parameters showed a moderate correlation with elasticity. Four parameters of QSM were significantly correlated with fibrosis stage (ρ =0.637–0.723) and differentiated F2–4fromF0–1fibrosisandF3–4fromF0–2 fibrosis with areas under the ROC curve of > 0.8, but those of R2* did not. Conclusion: QSM may serve as a promising surrogate indicator in detecting liver fibrosis.