Additive value of exposure parameters for breast cancer diagnosis in digital mammography
| Autor: | Genggeng Qin, Lin Xiaojia, Bingjia Lai, Weiguo Chen, Ma Le, Wenshang Wang, Cai Yuxing |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Digital mammography Breast Neoplasms Logistic regression 030218 nuclear medicine & medical imaging Lesion 03 medical and health sciences 0302 clinical medicine Breast cancer medicine Mammography Humans Radiology Nuclear Medicine and imaging Breast Neuroradiology Receiver operating characteristic medicine.diagnostic_test business.industry Ultrasound General Medicine medicine.disease Radiographic Image Enhancement ROC Curve 030220 oncology & carcinogenesis Female Radiology medicine.symptom business |
| Zdroj: | European radiology. 31(4) |
| ISSN: | 1432-1084 |
| Popis: | 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. 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. 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. Exposure parameters additively improved diagnostic accuracy for breast cancer and yielded more reliable results. • Differences in kVp, mAs, BT, and AGD between breasts were significantly greater in the malignant subjects than benign and healthy subjects. • The model combining exposure parameters with the BI-RADS category resulted in a higher AUC compared with the physician’s diagnosis for differentiating between malignant and benign lesions. • Exposure parameters additively improved diagnostic accuracy for breast cancer. |
| Databáze: | OpenAIRE |
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