title: Novel High Spatiotemporal Resolution Versus Standard-of-Care Dynamic Contrast-Enhanced Breast MRI: Comparison of Image Quality.
abstract: Currently, dynamic contrast-enhanced (DCE) breast magnetic resonance imaging (MRI) prioritizes spatial resolution over temporal resolution given the limitations of acquisition techniques. The purpose of our intrapatient study was to assess the ability of a novel high spatial and high temporal resolution DCE breast MRI method to maintain image quality compared with the clinical standard-of-care (SOC) MRI.
  
  
  
  Thirty patients, each demonstrating a focal area of enhancement (29 benign, 1 cancer) on their SOC MRI, consented to undergo a research DCE breast MRI on a second date. For the research DCE MRI, a method (DIfferential Subsampling with Cartesian Ordering [DISCO]) using pseudorandom k-space sampling, view sharing reconstruction, 2-point Dixon fat-water separation, and parallel imaging was used to produce images with an effective temporal resolution 6 times faster than the SOC MRI (27 vs 168 seconds, respectively). Both the SOC and DISCO MRI scans were acquired with matching spatial resolutions of 0.8 × 0.8 × 1.6 mm. Image quality (distortion/artifacts, resolution, fat suppression, lesion conspicuity, perceived signal-to-noise ratio, and overall image quality) was scored by 3 radiologists in a blinded reader study.
  
  
  
  Differences in image quality scores between the DISCO and SOC images were all less than 0.8 on a 10-point scale, and both methods were assessed as providing diagnostic image quality in all cases. DISCO images with the same high spatial resolution, but 6 times the effective temporal resolution as the SOC MRI scans, were produced, yielding 20 postcontrast time points with DISCO compared with 3 for the SOC MRI, over the same total time interval.
  
  
  
  DISCO provided comparable image quality compared with the SOC MRI, while also providing 6 times faster effective temporal resolution and the same high spatial resolution.
authors.affiliation: From the *Department of Medical Physics, University of Wisconsin; †Department of Radiology, University of Wisconsin School of Medicine and Public Health; and ‡Global MR Applications and Workflow, GE Healthcare, Madison, WI.
authors.forename: Courtney K
authors.initials: CK
authors.lastname: Morrison
authors.forename: Leah C
authors.initials: LC
authors.lastname: Henze Bancroft
authors.forename: Wendy B
authors.initials: WB
authors.lastname: DeMartini
authors.forename: James H
authors.initials: JH
authors.lastname: Holmes
authors.forename: Kang
authors.initials: K
authors.lastname: Wang
authors.forename: Ryan J
authors.initials: RJ
authors.lastname: Bosca
authors.forename: Frank R
authors.initials: FR
authors.lastname: Korosec
authors.forename: Roberta M
authors.initials: RM
authors.lastname: Strigel
mesh_terms: D000328:Adult; D000368:Aged; D016477:Artifacts; D001940:Breast / Q000000981:diagnostic imaging; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003287:Contrast Media; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D015203:Reproducibility of Results; D059629:Signal-To-Noise Ratio
chemical_list: D003287:Contrast Media