Mammography fixed grid versus reciprocating grid: evaluation using cadaveric breasts as test objects

Med Phys. 1996 Jan;23(1):141-7. doi: 10.1118/1.597695.

Abstract

In this study we use unfixed cadaveric breasts to obtain mammography images with fixed and reciprocating grids. Sheets of acrylic, containing one or more clusters of simulated calcifications and masses, were superimposed on two fresh cadaveric breasts (3.4 and 6.5 cm thick), and were imaged with a fixed grid and a reciprocating grid. Six radiologists, working independently, attempted to identify the number of clusters and/or masses in 114 images containing 139 clusters of simulated calcifications and 42 simulated masses. Thirty-four of these images were normal, containing no lesions. For the thinner breast, no statistically significant difference was found in the detection of clusters of calcifications in the images produced with the fixed grid compared to those produced with the reciprocating grid. However, for the detection of calcifications in images of the thicker breast, sensitivity of 74% for detection of calcifications when a fixed grid was used was significantly less than sensitivity of 86% when a reciprocating grid was used (P = 0.006). The mass detection sensitivity was 91% for images made with a fixed grid compared to 96% for images made with a reciprocating grid, but the difference was not statistically significant (P = 0.346). The use of cadaveric breasts as test objects was well accepted by radiologists. Only for the thick cadaveric breast were differences between the two grids significant, and these differences were restricted to the task of finding calcifications.

Publication types

  • Comparative Study

MeSH terms

  • Biophysical Phenomena
  • Biophysics
  • Breast Diseases / diagnostic imaging
  • Breast Neoplasms / diagnostic imaging
  • Cadaver
  • Calcinosis / diagnostic imaging
  • Diagnostic Errors
  • Evaluation Studies as Topic
  • Female
  • Humans
  • Mammography / methods*
  • Mammography / statistics & numerical data
  • Phantoms, Imaging
  • Sensitivity and Specificity