Single breath-hold diffusion-weighted MRI of the liver with parallel imaging: initial experience

Clin Radiol. 2006 Nov;61(11):959-65. doi: 10.1016/j.crad.2006.06.014.

Abstract

Aim: To evaluate prospectively the improvement in the signal:noise ratio (SNR), with the use of parallel technique in single breath-hold diffusion-weighted imaging (DWI) of the liver and its affect on apparent diffusion coefficient (ADC) measurements.

Materials and methods: This study was approved by our institutional review board. Written informed consent was obtained from all participants. Fifteen patients underwent single breath-hold DWI of the liver with and without parallel imaging technique. SNR and ADC values were measured over a lesion-free right hepatic lobe by two radiologists in both series. When a focal hepatic lesion was present the contrast:noise ratio (CNR) and ADC were also measured. Paired Student's t-tests were used for statistical analysis.

Results: Mean SNR values of the liver were 20.82+/-7.54 and 15.83+/-5.95 for DWI with and without parallel imaging, respectively. SNR values measured in DWI using parallel imaging were found to be significantly higher (p<0.01). Mean ADC of the liver were 1.61+/-0.45 x 10(-3)mm(2)/s and 1.56+/-0.28 x 10(-3)mm(2)/s for DWI with and without parallel imaging, respectively. No significant difference was found between the two sequences for hepatic ADC measurement (p>0.05). Overall lesion CNR was found to be higher in DWI with parallel imaging.

Conclusion: Parallel imaging is useful in improving SNR of single breath-hold DWI of the liver without compromising ADC measurements.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Carcinoma / diagnosis
  • Carcinoma / secondary
  • Carcinoma, Hepatocellular / diagnosis
  • Colonic Neoplasms / pathology
  • Female
  • Hemangioma / diagnosis
  • Humans
  • Liver / pathology*
  • Liver Diseases / diagnosis*
  • Liver Neoplasms / diagnosis
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Prospective Studies
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Retrospective Studies
  • Sensitivity and Specificity