Additive value of exposure parameters for breast cancer diagnosis in digital mammography

Objectives To investigate the effect of different breast lesions on exposure parameters in digital mammography and to determine whether the exposure parameters can additively improve diagnostic efficiency. Methods Craniocaudal view and mediolateral view full-field digital mammography images from 982 women with unilateral lesions (341 with malignant lesions, 189 with benign lesions, and 452 healthy women) obtained at Nanfang Hospital were reviewed. Differences in exposure parameters (tube voltage and load, breast thickness (BT), and average glandular dose (AGD)) between breasts were calculated. The relationships between parameter differences and lesion size were explored. A logistic regression model was used based on the AGD and BT differences, and the area under the receiver operating characteristic curve (AUC) was used to assess the performance of these parameters in differentiating malignant from benign and healthy subjects. Independently, data from 129 women (82 with malignant and 47 with benign lesions) treated at Sun Yat-sen Memorial Hospital were collected to validate the model. Results Differences in tube voltage and load, BT, and AGD between breasts were significantly greater in the malignant subjects than benign (p< 0.05) and healthy subjects (p< 0.05). The AUCs for the comparisons of malignant vs. healthy subjects, malignant vs. benign subjects, and benign vs. healthy subjects were 0.77 +/- 0.02, 0.72 +/- 0.02, and 0.57 +/- 0.02, respectively. The model combining the exposure parameters with the BI-RADS category resulted in a higher AUC (0.910 +/- 0.03) compared with physician diagnosis alone (0.820 +/- 0.04) for differentiating between malignant and benign lesions. Conclusions Exposure parameters additively improved diagnostic accuracy for breast cancer and yielded more reliable results.

Automated summary

The study investigated the effects of different breast lesions on exposure parameters in digital mammography, finding significant differences in exposure parameters between malignant, benign, and healthy breasts. By combining exposure parameters with the BI-RADS category, the diagnostic accuracy for differentiating between malignant and benign lesions improved, indicating a potential for more reliable results in breast cancer diagnosis.