Lianjun Lan*, Xiaofei Lu and Jian Shu Pages 1 - 7 ( 7 )
Objectives: The aim of this study was to investigate the value of hepatic T2 imaging for the evaluation of chronic hepatitis-B-related acute-on-chronic liver failure (HBV-ACLF).
Methods: Three groups of patients underwent liver MRI utilising m-GRASE sequence (multi-echo gradient and spin echo): HBV-ACLF patients (n = 28), chronic hepatitis B patients (n = 11), and healthy control patients (n = 14). A T2 image was produced using post-processing software, and the mean T2 (relaxation time) value was calculated. Blood biochemical indices for the HBV-ACLF and Chronic Hepatitis B were obtained within 2 days pre- or post-MR scanning. The patients’ T2 values, and the correlation between their biochemical indices and T2 values, were analysed. A receiver operating characteristic curve was employed to evaluate the efficiency of utilising T2 values in the diagnosis of HBV-ACLF.
Results: There were significant variations in the T2 values (χ 2 = 19.074, P < 0.001) among the 3 groups. The AUC of T2 values for diagnosing HBV-ACLF was 0.86 (P < 0.001), with a cut-off value of 57.73 ms. A moderately positive correlation was observed between the T2 value and the international normalised ratio, prothrombin time, and hyaluronic acid values (rs = 0.65, P < 0.001; rs = 0.67, P < 0.001; rs = 0.39, P = 0.025). A moderately negative correlation was observed between the T2 value and the prothrombin activity, albumin, and prealbumin values (rs = -0.67, P < 0.001; rs = -0.48, P = 0.004; rs = -0.37, P = 0.030).
Conclusion: T2 values could accurately reflect liver function state, as they correlated well with certain biochemical indices, illustrating good diagnostic efficiency for diagnosing HBV-ACLF.
Liver failure, magnetic resonance imaging, T2 relaxation time, HBV-ACLF, hepatic T2 imaging, hepatic inflammation.
Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000, Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou 646000