Comparison of monopolar and bipolar diffusion weighted imaging sequences for detection of small hepatic metastases

Eur J Radiol. 2014 Sep;83(9):1626-30. doi: 10.1016/j.ejrad.2014.06.003. Epub 2014 Jun 17.

Abstract

Objective: To compare monopolar (MP) and bipolar (BP) diffusion weighted imaging (DWI) in detecting small liver metastases.

Materials and methods: Eighty-eight patients underwent 3-T MRI. The signal-to-noise ratios (SNR) of the liver parenchyma and lesions, the lesion-to-liver contrast-to-noise ratios (CNR), and the detection sensitivities were compared. The lesion distortion was scored (LDS) from 4 (no distortion) to 1 (excessive distortion), dichotomised as no-distortion and distortion, and the association between detected lesions for each reader in the MP or BP DWI group and the dichotomised lesion distortion degree was assessed.

Result: Forty-six hepatic metastases were confirmed. The CNR with BP images showed significantly higher values than with MP (P=0.017). The detection sensitivities of the three readers were higher in the BP sequence than in MP, and one reader detected significantly more hepatic lesions with BP images (P=0.04). LDS was significantly improved with BP sequence (P=0.002). In the no-distortion group, excluding the MP DWI assessments of one reader, detection sensitivities were significantly higher than in the distortion group (P<0.001 and P=0.002, respectively).

Conclusion: Reduced lesion distortion improves the detection of small liver metastases, and BP is more sensitive in detecting small liver metastases than MP DWI.

Keywords: Artefact; Diffusion weighted imaging; Distortion; Eddy currents; Image quality; Liver metastases.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Diffusion Magnetic Resonance Imaging / methods*
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted / methods
  • Liver / pathology*
  • Liver Neoplasms / diagnosis*
  • Liver Neoplasms / secondary*
  • Male
  • Middle Aged
  • Reproducibility of Results
  • Retrospective Studies
  • Sensitivity and Specificity
  • Signal-To-Noise Ratio