Detection of hepatocellular carcinoma (HCC) using super paramagnetic iron oxide (SPIO)-enhanced mri: Added value of diffusion-weighted imaging (DWI)

Akihiro Nishie, Tsuyoshi Tajima, Kousei Ishigami, Yasuhiro Ushijima, Daisuke Okamoto, Masakazu Hirakawa, Yunosuke Nishihara, Akinobu Taketomi, Masamitsu Hatakenaka, Hiroyuki Irie, Kengo Yoshimitsu, Hiroshi Honda

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

Purpose: To evaluate whether diffusion-weighted imaging (DWI) improves the detection of hepatocellular carcinoma (HCC) on super paramagnetic iron oxide (SPIO)-enhanced MRI. Materials and Methods: This retrospective study group consisted of 30 patients with 50 HCC nodules who underwent MRI at 1.5 Tesla. Two combined MR sequence sets were compared for detecting HCC: SPIO-enhanced MRI (axial T2-weighted fast spin-echo (FSE) and T1-/T2*-weighted fast field echo (FFE) scanned before and after administration of ferucarbotran) and SPIO-enhanced MRI + DWI (SPIO-enhanced MRI with axial DWI scanned before and after administration of ferucarbotran). Three blinded readers independently reviewed for the presence of HCC on a segment-by-segment basis using a four-point confidence scale. The performance of the two combined MR sequence sets was evaluated using receiver operating characteristic (ROC) analysis. Results: The average area under the ROC curve (Az) of the three readers for the SPIO-enhanced MRI + DWI set (0.870 ± 0.046) was significantly higher that that for the SPIO-enhanced MRI set (0.820 ± 0.055) (P = .025). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for detection of HCC were 66.0%, 98.0%, 90.0%, and 91.4%, respectively, for the SPIO-enhanced MRI set, and 70.0%, 98.6%, 92.9%, and 92.4%, respectively, for the SPIO-enhanced MRI + DWI set. Conclusion: The SPIO-enhanced MRI + DWI set outperformed the SPIO-enhanced MRI set for depicting HCC.

Original languageEnglish
Pages (from-to)373-382
Number of pages10
JournalJournal of Magnetic Resonance Imaging
Volume31
Issue number2
DOIs
Publication statusPublished - Feb 2010

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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