title: Diagnostic abilities of three CAD methods for assessing microcalcifications in mammograms and an aspect of equivocal cases decisions by radiologists.
abstract: 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.
authors: Key University Research Centre for Health Technologies, University of Technology, Sydney, Australia.
authors: W T
authors: WT
authors: Hung
authors: H T
authors: HT
authors: Nguyen
authors: W B
authors: WB
authors: Lee
authors: M T
authors: MT
authors: Rickard
authors: B S
authors: BS
authors: Thornton
authors: A
authors: A
authors: Blinowska
mesh_terms: D000465:Algorithms; D001941:Breast Diseases / Q000145:classification* / Q000000981:diagnostic imaging* / Q000473:pathology; D002114:Calcinosis / Q000145:classification* / Q000000981:diagnostic imaging* / Q000473:pathology; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D003937:Diagnosis, Differential; D006801:Humans; D008327:Mammography / Q000379:methods*; D015588:Observer Variation; D011237:Predictive Value of Tests; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index