Diagnostic abilities of three CAD methods for assessing microcalcifications in mammograms and an aspect of equivocal cases decisions by radiologists

  • W. T. Hung
  • H. T. Nguyen
  • W. B. Lee
  • M. T. Rickard
  • B. S. Thornton
  • A. Blinowska
Scientific Papers


Radiologists use an “Overall impression” rating to assess a suspicious region on a mammogram. The value ranges from 1 to 5. They will definitely send a patient for biopsy if the rating is 4 or 5. They will send the patient for core biopsy when a rating of 3 (indeterminate) is given. We have developed three methods to aid diagnosis of cases with microcalcifications. The first two methods, namely, Bayesian and multiple logistic regression (with a special “cutting score” technique), utilise six parameter ratings which minimise subjectivity in characterising the microcalcifications. The third method uses three parameters (age of patient, uniformity of size of microcalcification and their distribution) in a multiple stepwise regression. For both training set and test set, all three methods are as good as the two radiologists in terms of percentages of correct classification. Therefore, all three proposed methods potentially can be used as second readers.

Key words

computer aided diagnosis bayesian method multiple logistic regression multiple stepwise regression microcalcifications 


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Copyright information

© Australasian College of Physical Scientists and Engineers in Medicine 2003

Authors and Affiliations

  • W. T. Hung
    • 1
  • H. T. Nguyen
    • 1
  • W. B. Lee
    • 2
  • M. T. Rickard
    • 3
  • B. S. Thornton
    • 1
  • A. Blinowska
    • 4
  1. 1.Faculty of EngineeringKey University Research Centre for Health TechnologiesSydneyAustralia
  2. 2.BreastScreen NSW-WesternSydneyAustralia
  3. 3.BreastScreen NSW-Central & EasternSydneyAustralia
  4. 4.INSERMHospital BroussaiParisFrance

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