Abstract
AIM: To examine the interpretive performance of digital breast tomosynthesis (DBT) as an
adjunct to digital mammography (DM) compared to DM alone in a series of invasive lobular
carcinomas (ILCs) and to assess whether DBT can be used to characterise ILC.
MATERIALS AND METHODS: A retrospective, multi-reader study was conducted of 83
mammographic examinations of women with 107 newly diagnosed ILCs ascertained at histology.
Consenting women underwent both DM and DBT acquisitions. Twelve radiologists, with
varying mammography experience, interpreted DM images alone, reporting lesion location,
mammographic features, and malignancy probability using the Breast Imaging-Reporting and
Data System (BI-RADS) categories 1e5; they then reviewed DBT images in addition to DM, and
reported the same parameters. Statistical analyses compared sensitivity, false-positive rates
(FPR), and interpretive performance using the receiver operating characteristics (ROC) curve
and the area under the curve (AUC), for reading with DM versus DM plus DBT.
adjunct to digital mammography (DM) compared to DM alone in a series of invasive lobular
carcinomas (ILCs) and to assess whether DBT can be used to characterise ILC.
MATERIALS AND METHODS: A retrospective, multi-reader study was conducted of 83
mammographic examinations of women with 107 newly diagnosed ILCs ascertained at histology.
Consenting women underwent both DM and DBT acquisitions. Twelve radiologists, with
varying mammography experience, interpreted DM images alone, reporting lesion location,
mammographic features, and malignancy probability using the Breast Imaging-Reporting and
Data System (BI-RADS) categories 1e5; they then reviewed DBT images in addition to DM, and
reported the same parameters. Statistical analyses compared sensitivity, false-positive rates
(FPR), and interpretive performance using the receiver operating characteristics (ROC) curve
and the area under the curve (AUC), for reading with DM versus DM plus DBT.
Original language | English |
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Journal | Clinical Radiology |
Publication status | Published - 2016 |