Liver Failure Clinical Trial
Official title:
Comparing the Value of the Circular Region-of-interest- and Whole-liver Histogram-based Analysis on Gd-EOB-DTPA-enhanced T1 Map for Predicting Postoperative Liver Failure
Researchers designed this study to compare the value of the conventional circular region-of-interest (ROI) and whole-liver histogram-based analysis on gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced T1 map for predicting postoperative liver failure (PHLF). Researchers collected and analyzed the data of patients who underwent partial hepatectomy for focal liver lesions. Researchers drew circular ROIs on Gd-EOB-DTPA-enhanced T1 maps to get the mean T1 values. Researchers used a multiparametric analysis software to get histogram parameters. Then researchers compared the differences of these parameters between the PHLF group and non-PHLF group.
The objective of this study is to compare the value of the circular region-of-interest (ROI) and whole-liver histogram-based analysis on gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced T1 map for predicting postoperative liver failure. Forty patients who underwent partial hepatectomy for focal liver lesions were retrospectively analyzed. All subjects underwent 1.5T Gd-EOB-DTPA-enhanced MRI including pre-contrast and hepatobiliary-phase T1 mapping. Patients were divided into two groups with (16 patients) and without (24 patients) postoperative liver failure according to the criteria established by the International Study Group for Liver Surgery (ISGLS). T1 values before enhancement (T1pre) and in the hepatobiliary phase (T1HBP) were measured by outlining a circular ROI on the axial T1 maps. The reduction rate of T1 relaxation time (rrT1) = (T1 pre - T1HBP) / T1 pre. The whole-liver histogram analysis was performed using the prototype MR Multiparametric Analysis software (Siemens Healthcare, Erlangen, Germany). Differences of the circular ROI-based mean values and the histogram parameters between the two groups were compared. The receiver operating characteristic curve (ROC) was plotted. The circular ROI-based mean values and the histogram parameters for predicting PHLF was assessed by the area under the curve (AUC). ;
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