期刊
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
卷 77, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2022.103752
关键词
Digital breast tomosynthesis; Full-field digital mammography; Breast lesion; Exposure parameter
资金
- Clinical Research Program of Nanfang Hospital, Southern Medical University [2020CR006]
- President Foundation of Nanfang Hospital, Southern Medical University [2021C044]
- National Natural Science Foundation of China [82171929]
- Natural Science Foundation of Guangdong Province, China [2019A1515011168, 2018A0303130215, 2018A030313951]
This study explored lesion-specific exposure parameters on digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) and evaluated their efficiency for breast cancer diagnosis. The results showed that breast lesion type has an influence on exposure parameters, providing evidence for distinguishing between benign and malignant lesions.
Objectives: To explore lesion-specific exposure parameters on digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) and evaluate their efficiency for breast cancer diagnosis. Methods: We reviewed the DBT and FFDM images of 492 women with unilateral breast lesions and compared the findings with a healthy group comprising the contralateral breasts of all patients. The tube voltage (kVp), tube load (mAs), compressed breast thickness (CBT), and mean glandular dose (MGD) for each image were retrieved from the DICOM metadata, and the difference in MGD between DBT and FFDM images (oMGD) was calculated. Three models were developed to discriminate breast cancer: logistic model, comprising traditional risk factors alone; FFDM model, comprising exposure parameters from FFDM images alone, and a hybrid model, comprising traditional risk factors and exposure parameters from DBT and FFDM images. Model performance was assessed in an independent dataset of 189 women by determining the area under the receiver operating characteristic curve (AUC).Results: The malignant group showed greater kVp, mAs, CBT, and MGD values than the benign and healthy groups on both FFDM and DBT. Breast thickness, density, and lesion size were independently associated with oMGD. The hybrid model showed a significantly higher AUC value (0.78 +/- 0.04) than the logistic (0.68 +/- 0.05) and FFDM models (0.56 +/- 0.05).Conclusions: The breast lesion type has an influence on exposure parameters when using automatic exposure control. Our results provide evidence for lesion-specific exposure parameters, which can be helpful in distinguishing benign lesions from malignancies.
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