title: Is there a role for BLADE acquisition in T2-weighted breast MRI?
abstract: BACKGROUND
  standard T2-weighted (T2W) magnetic resonance imaging (MRI) is a necessary component of routine breast MRI. However, breast MRI suffers from minor subject movements, which degrade the image quality. BLADE acquisition MRI is a promising motion degradation method currently used in brain imaging.
  
  
  OBJECTIVE
  to compare T2W BLADE acquisition breast MR images with routine T2W images in the evaluation of motion artifacts and overall image quality.
  
  
  METHODS
  MRI was performed with a 1.5 T system on 25 volunteers and 25 consecutive patients with identical imaging parameters for both MRI sequences (TR 5240 ms, TE 112-108 ms, acquisition 1, spatial resolution 0.9×0.9× 4 mm). Motion and flow artifacts and pectoral muscle and lesion contour delineations were assessed. Signal to noise ratios (SNRs) of images and contrast to noise ratios (CNRs) of the incidental lesions were calculated. The results were evaluated with the Wilcoxon signed-ranks test.
  
  
  RESULTS
  of the 50 patients, 44 were included in the analysis (mean age 42.1 years). Motion artifacts were prominent in 48% cases on routine T2W and in only 2% of BLADE cases. The SNR values of BLADE images were significantly higher than routine T2W (P<0.05). Pectoral muscle contours were better assessed on BLADE in all cases. Sequence performances were similar in flow artifacts, CNR values, and contour delineation of incidental lesions. The readers chose BLADE sequence MRI in 25 cases and found the overall performance of sequences equal in 19 cases. None of the readers preferred routine T2W to BLADE.
  
  
  CONCLUSIONS
  the performance of BLADE is superior to routine T2W images in eliminating motion artifacts, provides better SNRs, shows detailed pectoral muscle contours, and may be the sequence of choice.
authors.affiliation: Department of Radiology, Acibadem University School of Medicine, Istanbul. uozcan@asg.com.tr
authors.forename: Umit Aksoy
authors.initials: UA
authors.lastname: Ozcan
authors.forename: Alp
authors.initials: A
authors.lastname: Dincer
authors.forename: M
authors.initials: M
authors.lastname: Erdem Yildiz
authors.forename: Murat
authors.initials: M
authors.lastname: Cinko
authors.forename: M
authors.initials: M
authors.lastname: Olcay Cizmeli
mesh_terms: D000328:Adult; D000368:Aged; D016477:Artifacts; D001940:Breast; D001943:Breast Neoplasms / Q000175:diagnosis*; D018270:Carcinoma, Ductal, Breast / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D015588:Observer Variation; D011446:Prospective Studies; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D055815:Young Adult