title: Diagnostic efficacy of compressed digitized real-time sonography of uterine fibroids.
abstract: OBJECTIVE
  The authors investigated the diagnostic efficacy of compression of real-time ultrasound (US) examinations.
  
  
  METHODS
  Low- and high-compression recordings (9:1 and 15:1, respectively) of examinations were generated by using Joint Photographic Experts Group algorithms. Seven radiologists used a five-level response scale to answer questions about the presence, number, and location of focal fibroid tumors in 67 randomly sorted uterine examinations. The images were viewed after no, low, and high compression. Results were evaluated by using multipatient, multireader receiver operating characteristic jack-knife analysis.
  
  
  RESULTS
  Given the reduction in the US digital video rates from 74 Mbit/sec for uncompressed images to 8 Mbit/sec for low compression and 4.7 Mbit/sec for high compression, there were no statistically significant differences in accuracy between the compression schemes. Confidence intervals suggested that the sample size was adequate.
  
  
  CONCLUSIONS
  Compressed images with compression ratios of 9:1 and 15:1 were diagnostically equivalent to uncompressed images of uterine fibroid tumors.
authors.affiliation: Department of Radiology, University of Virginia Health Sciences Center, Charlottesville 22908, USA.
authors.forename: G A
authors.initials: GA
authors.lastname: DeAngelis
authors.forename: B
authors.initials: B
authors.lastname: Dempsey
authors.forename: S
authors.initials: S
authors.lastname: Berr
authors.forename: L L
authors.initials: LL
authors.lastname: Fajardo
authors.forename: J
authors.initials: J
authors.lastname: Sublett
authors.forename: B J
authors.initials: BJ
authors.lastname: Hillman
authors.forename: A
authors.initials: A
authors.lastname: Weaver
authors.forename: K
authors.initials: K
authors.lastname: Berbaum
authors.forename: S J
authors.initials: SJ
authors.lastname: Dwyer
mesh_terms: D005260:Female; D006801:Humans; D007889:Leiomyoma / Q000000981:diagnostic imaging*; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography; D014594:Uterine Neoplasms / Q000000981:diagnostic imaging*