Abstract

Synthesized 2D images can be reconstructed from tomosynthesis images in breast imaging. This study aims to investigate the diagnostic efficacy of synthesized 2D images (C-View) in comparison to full field digital mammography (FFDM) when used with digital breast tomosynthesis (DBT) in multi-ethnic Malaysian population. FFDM and C-View images (n = 380) were independently evaluated by three readers through Breast Imaging Reporting and Data System (BI-RADS) categorisation, breast density and lesion characterisation. Statistical analysis was done comparing sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of C-View + DBT with FFDM + DBT as standard of reference. Very good interreader agreement in BI-RADS category and density assessment between C-View + DBT and FFDM + DBT, with high sensitivity, specificity, PPV and NPV of C-View + DBT when compared with FFDM + DBT. There was comparable PPV between C-View + DBT and FFDM + DBT, with histopathology as gold standard. High level of interreader agreement in BI-RADS category and density assessment for FFDM + DBT and C-View + DBT. There was good agreement between FFDM + DBT and C-View + DBT in mass characterization, and almost perfect agreement in calcification and asymmetric density. 52.2% lower radiation dose incurred when using C-View + DBT. Hence, synthesized 2D images are comparable to FFDM with reduction in radiation dose within the limits of Malaysian multi-ethnic population.

Details

Title
Diagnostic Efficacy of Synthesized 2D Digital Breast Tomosynthesis in Multi-ethnic Malaysian Population
Author
Ab, Mumin N 1   VIAFID ORCID Logo  ; Rahmat, K 2 ; Fadzli, F 2 ; Ramli, M T 3   VIAFID ORCID Logo  ; Westerhout C J 2 ; Ramli, N 2 ; Rozalli, F I 2 ; Ng, K H 2 

 Faculty of Medicine, University Teknologi MARA, Radiology Department, Selangor, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343); University Malaya Research Imaging Centre, Biomedical Imaging Department, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949) 
 University Malaya Research Imaging Centre, Biomedical Imaging Department, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949) 
 University Malaya Research Imaging Centre, Biomedical Imaging Department, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949); Faculty of Medicine, University Teknologi MARA, Radiology Department, Selangor, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
Publication year
2019
Publication date
Feb 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2176707537
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.