document: Breast cancer : effectiveness of computer-aided diagnosis-observer study with independent database of mammograms Evaluates the effectiveness of a computerized classification method as an aid to radiologists reviewing clinical mammograms for which the diagnoses were unknown to both the radiologists and the computer . Six mammographers and six community radiologists participated in an observer study . These 12 radiologists interpreted , with and without the computer aid , 110 cases that were unknown to both the 12 radiologist observers and the trained computer classification scheme . The radiologists ' performances in differentiating between benign and malignant masses without and with the computer aid were evaluated with receiver operating characteristic -LRB- ROC -RRB- analysis . Two-tailed P values were calculated for the Student t test to indicate the statistical significance of the differences in performances with and without the computer aid . When the computer aid was used , the average performance of the 12 radiologists improved , as indicated by an increase in the area under the ROC curve -LRB- A/sub z / -RRB- from 0.93 to 0.96 -LRB- P < .001 -RRB- , by an increase in partial area under the ROC curve -LRB- / sub 0.9 / 0A ' / sub z / -RRB- from 0.56 to 0.72 -LRB- P < .001 -RRB- , and by an increase in sensitivity from 94 % to 98 % -LRB- P = .022 -RRB- . No statistically significant difference in specificity was found between readings with and those without computer aid -LRB- Delta + -0.014 ; P = .46 ; 95 % Cl : -0.054 , 0.026 -RRB- , where Delta is difference in specificity . When we analyzed results from the mammographers and community radiologists as separate groups , a larger improvement was demonstrated for the community radiologists . Computer-aided diagnosis can potentially help radiologists improve their diagnostic accuracy in the task of differentiating between benign and malignant masses seen on mammograms
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