Comparison of fat suppression capability for chest MR imaging with Dixon, SPAIR and STIR techniques at 3 Tesla MR system

Yuji Kishida, Hisanobu Koyama, Shinichiro Seki, Takeshi Yoshikawa, Katsusuke Kyotani, Tomoyuki Okuaki, Kazuro Sugimura, Yoshiharu Ohno

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Purpose To directly compare fat suppression efficacy of Dixon, spectral attenuated inversion recovery (SPAIR) and short tau inversion recovery (STIR) techniques for a 3 T MR system. Materials and methods Nineteen consecutive patients (11 men, 8 women; mean age 67.9 years) underwent chest MR imaging. Contrast-noise ratio (CNR) between muscle and fat (CNRFat) was calculated by ROI measurement. Then, two radiologists used a five-point scale for visual assessment of image quality, fat suppression capability and lesion detection. Next, the quantitative calculations obtained with all three techniques were compared by means of Tukey's honest significant difference (HSD) test. Inter-observer agreements were assessed by kappa statistics and χ2 test. Fisher's least significant difference (LSD) test was used for comparison among all scores. Results CNRFat of SPAIR were significantly higher than those of Dixon and STIR (p < 0.001). Inter-observer agreements were assessed as significantly moderate, substantial or almost perfect (0.51 < κ < 0.89, p < 0.0001). Total image quality and fat suppression capability of Dixon and STIR were significantly higher than those of SPAIR (p < 0.001). Conclusion Dixon technique has better fat suppression capability on T2-weighted turbo SE imaging than SPAIR technique on chest MR imaging examined with a 3 T MR system, although it can't substitute STIR technique on fat suppression and lesion visualization.

Original languageEnglish
Pages (from-to)89-96
Number of pages8
JournalMagnetic Resonance Imaging
Volume47
DOIs
Publication statusPublished - 04-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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