MR Prediction of Liver Function and Pathology Using Gd-EOB-DTPA: Effect of Liver Volume Consideration

作者：Shimamoto Dai; Nishie Akihiro^*; Asayama Yoshiki; Ushijima Yasuhiro; Takayama Yukihisa; Fujita Nobuhiro; Shirabe Ken; Hida Tomoyuki; Kubo Yuichiro; Honda Hiroshi

来源：Biomed Research International, 2015, 2015: 141853.

DOI：10.1155/2015/141853

Purpose. To evaluate whether the diagnostic performance of Gd-EOB-DTPA-enhanced MRI in evaluating liver function and pathology is improved by considering liver volume (LV). Methods. This retrospective study included 104 patients who underwent Gd-EOB-DTPA-enhanced MRI before liver surgery. For each patient, using the precontrast and hepatobiliary phase images, we calculated the increase rate of the liver-to-spleen signal intensity ratio (LSR), that is, the "Delta LSR," and the increase rate of the liver-to-muscle signal intensity ratio (LMR), that is, the "Delta LMR." Delta LSR x LV and Delta LMR x LV were also calculated. The correlation of each MR parameter with liver function data or liver pathology was assessed. The correlation coefficients were compared between Delta LSR (Delta LMR) and Delta LSR (Delta LMR) x LV. Results. The correlation coefficient between Delta LSR (Delta LMR) x LV and cholinesterase was significantly higher than that between Delta LSR (Delta LMR) and cholinesterase. The correlation coefficient between Delta LSR (Delta LMR) x LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between Delta LSR (Delta LMR) and the degree of fibrosis or necroinflammatory activity. Conclusion. The inclusion of liver volume may improve Gd-EOB-DTPA-based predictions of liver function, but not in predictions of liver pathology.

• 出版日期2015