Computerized localization of breast lesions from two views. An experimental comparison of two methods

Invest Radiol. 1999 Sep;34(9):585-8. doi: 10.1097/00004424-199909000-00006.

Abstract

Rationale and objectives: The authors compared two computerized methods, the arc and cartesian straight-line, for the localization of breast lesions in two mammographic views.

Methods: A total of 571 craniocaudal and 571 mediolateral oblique matched mammographic image pairs (or 1142 individual images) depicting 290 pathology-verified masses on both views were selected from our image database. Using a previously developed computer-aided detection scheme, all 290 masses and 3992 suspicious but negative regions were identified. After pairing all identified regions from both views, all masses (true-positive-true-positive matched pairs) and a total of 10330 false-positive pairs (including false-positive-false-positive, true-positive-false-positive, and false-positive-true positive pairs) were assessed as to their position in relation to the nipple using both the arc and the cartesian straight-line methods. Receiver operating characteristic methodology was used to evaluate the performance levels for each method in determining, based solely on location, whether a pair of suspicious regions represented a true mass or a false-positive combination.

Results: The areas under the receiver operating characteristic curves (Az) were 0.79 and 0.78 for the arc and cartesian straight-line methods, respectively. The difference between the two techniques (as measured by Az) was not statistically significant (P > 0.99).

Conclusions: These preliminary results demonstrated that the two methods are comparable in identifying true masses from triangulated observations on two views. However, the arc method is somewhat favorable because only the nipple location is required for localization.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Biopsy
  • Breast Diseases / diagnostic imaging*
  • Breast Diseases / pathology
  • Diagnosis, Computer-Assisted / methods*
  • Diagnostic Errors
  • False Positive Reactions
  • Female
  • Humans
  • Mammography / methods*
  • Predictive Value of Tests
  • ROC Curve