Digital Breast Tomosynthesis: A New Diagnostic Method for Mass-Like Lesions in Dense Breasts.
To compare the rates and accuracy of digital breast tomosynthesis (DBT) and 2D digital mammography (DM) for detecting and diagnosing mass-like lesions in dense breasts. Mediolateral and craniocaudal images taken with DBT (affected breast) and DM (both breasts) of the dense breasts of 631 women were assessed independently using Breast Imaging Reporting and Data System (BI-RADS) scores. Images were compared for detection and diagnostic accuracy for masses; sensitivity and specificity of diagnosis; false-negative and recall rates; and clarity of display, particularly of margins and spicules. Histopathology was conducted via surgical biopsies of all patients. The detection and diagnostic accuracy rates of DBT images (84.3% and 82.3%, respectively) were significantly higher than that of DM (77.3% and 73.4%; p < 0.01, both). The sensitivity and specificity of DBT (68.1% and 95.2%) were higher than that of DM (58.8% and 86.7%), whereas the recall rate of DBT was lower (3.6% cf. 9.8%). The number of cases of benign circumscribed masses and malignant spiculated masses detected by DBT (172 and 182) was significantly higher than the number detected through DM (75 and 115; p < 0.01, both). Radiologists assigned higher BI-RADS scores for probability of malignancy to DBT images than DM, to lesions proved malignant (p = 0.025); for benign cases, the methods were comparable (p = 0.065). Compared with DM, DBT yielded significantly higher rates of detection and diagnostic accuracy for benign and malignant masses, with greater sensitivity and specificity and lower recall rates. In addition, DBT images facilitated analysis of margins, and the rate of accuracy for judgments of malignancy probability was higher, as proved on biopsy.
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Tiantian
T
Bian
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Qing
Q
Lin
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Chunxiao
C
Cui
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Lili
L
Li
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Chunhua
C
Qi
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Jie
J
Fei
Department of Breast Imaging and Radiology, The Affiliated Hospital of Qingdao University, Qingdao City, Shandong Province, China.
Xiaohui
X
Su
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001706:Biopsy; D000071060:Breast Density; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D005260:Female; D006801:Humans; D008327:Mammography / Q000379:methods*; D000072662:Margins of Excision; D008875:Middle Aged; D012680:Sensitivity and Specificity
dense breast; digital breast tomosynthesis; mammography; mass-like lesion