MR prediction of liver function and pathology using gd-eob-dtpa: Effect of liver volume consideration

Dai Shimamoto, Akihiro Nishie, Yoshiki Asayama, Yasuhiro Ushijima, Yukihisa Takayama, Nobuhiro Fujita, Ken Shirabe, Tomoyuki Hida, Yuichiro Kubo, Hiroshi Honda

研究成果: ジャーナルへの寄稿学術誌査読

6 被引用数 (Scopus)

抄録

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 "ΔLSR," and the increase rate of the liver-to-muscle signal intensity ratio (LMR), that is, the "ΔLMR." ΔLSR × LV and ΔLMR × 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 ΔLSR (ΔLMR) and ΔLSR (ΔLMR) × LV. Results. The correlation coefficient between ΔLSR (ΔLMR) × LV and cholinesterase was significantly higher than that between ΔLSR (ΔLMR) and cholinesterase. The correlation coefficient between ΔLSR (ΔLMR) × LV and the degree of fibrosis or necroinflammatory activity was significantly lower than that between ΔLSR (ΔLMR) 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.

本文言語英語
論文番号141853
ジャーナルBioMed Research International
2015
DOI
出版ステータス出版済み - 2015

!!!All Science Journal Classification (ASJC) codes

  • 生化学、遺伝学、分子生物学一般
  • 免疫学および微生物学一般

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