Performance of gadoxetic acid-enhanced MRI for detecting hepatocellular carcinoma in recipients of living-related-liver-transplantation: Comparison with dynamic multidetector row computed tomography and angiography-assisted computed tomography

Daisuke Kakihara, Akihiro Nishie, Noboru Harada, Ken Shirabe, Tsuyoshi Tajima, Yoshiki Asayama, Kousei Ishigami, Tomohiro Nakayama, Yukihisa Takayama, daisuke okamoto, Nobuhiro Fujita, Junji Kishimoto, Hiroshi Honda

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Purpose: To clarify the diagnostic performance of gadoxetic acid-enhanced MRI for the detection of hepatocellular carcinoma (HCC) in recipients of living related-liver transplantation (LRLT).

Materials and Methods: This retrospective study group consisted of 15 patients with 61 HCCs who each underwent multidetector row computed tomography (MDCT), gadoxetic acid-enhanced MRI, and angiography-assisted computed tomography (CT) before LRLT. The three modalities were compared for their ability to detect HCC. Two blinded readers independently reviewed the images obtained by each modality for the presence of HCC on a segment-by-segment basis using a 5-point confidence scale. The diagnostic performance of the modalities was evaluated in a receiver operating characteristic (ROC) analysis. The area under the ROC curve (Az), sensitivity, specificity, and accuracy were compared for the three modalities.

Results: No significant difference in Az, sensitivity, specificity, or accuracy was obtained among gadoxetic acidenhanced MRI, MDCT, and angiography-assisted CT for both readers. For reader 1, the sensitivity (55.6%) and the accuracy (84.7%) of angiography-assisted CT were significantly higher than those of MDCT (33.3% and 78.0%) (P < 0.05).

Conclusion: Gadoxetic acid-enhanced MRI has a relatively high diagnostic ability to detect HCC even in recipients of LRLT, equivalent to the abilities of MDCT and angiography-assisted CT.

Original languageEnglish
Pages (from-to)1112-1120
Number of pages9
JournalJournal of Magnetic Resonance Imaging
Volume40
Issue number5
DOIs
Publication statusPublished - Nov 1 2014

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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