A comparative study of conventional mammography film interpretations with soft copy readings of the same examinations

Joseph N. Gitlin, Anand K. Narayan, Chad A. Mitchell, Ali M. Akmal, David J. Eisner, Lindsy M. Peterson, Daisy Nie, Tyler R. McClintock

Research output: Contribution to journalArticle

Abstract

An acceptable mammography film digitizer must provide high-quality images at a level of diagnostic accuracy comparable to reading conventional film examinations. The purpose of this study was to determine if there are significant differences between the interpretations of conventional film-screen mammography examinations and soft copy readings of the images produced by a mammography film digitizer. Eight radiologists interpreted 120 mammography examinations, half as original films and the other half as digital images on a soft copy work station. No radiologist read the same examination twice. The interpretations were recorded in accordance with the Breast Imaging Reporting and Data System and included other variables such as perceived image quality and diagnostic difficulty and confidence. The results provide support for the hypothesis that there are no significant differences between the interpretations of conventional film-screen mammography examinations and soft copy examinations produced by a mammography film digitizer.

Original languageEnglish (US)
Pages (from-to)42-52
Number of pages11
JournalJournal of Digital Imaging
Volume20
Issue number1
DOIs
StatePublished - Mar 2007

Keywords

  • Digitized mammography
  • Interpreting digitized mammography images
  • ROC-based analysis
  • Transition to digital imaging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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    Gitlin, J. N., Narayan, A. K., Mitchell, C. A., Akmal, A. M., Eisner, D. J., Peterson, L. M., Nie, D., & McClintock, T. R. (2007). A comparative study of conventional mammography film interpretations with soft copy readings of the same examinations. Journal of Digital Imaging, 20(1), 42-52. https://doi.org/10.1007/s10278-006-1046-1