Biomedical Imaging Department, University Malaya Research Imaging Centre, Kuala Lumpur, Malaysia.
Radiology Department, Faculty of Medicine, University Teknologi MARA, Selangor, Malaysia.
Sci Rep. 2019 Feb 6;9(1):1459. doi: 10.1038/s41598-018-37451-4.
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.
在乳腺成像中，可以从断层合成图像重建合成的 2D 图像。本研究旨在探讨在多民族马来西亚人群中使用数字乳腺断层合成术（DBT）时，与全数字化乳腺摄影（FFDM）相比，合成的 2D 图像（C-View）的诊断效能。通过乳腺影像报告和数据系统（BI-RADS）分类、乳腺密度和病变特征，三位读者分别独立评估 FFDM 和 C-View 图像（n=380）。通过比较 C-View+DBT 与 FFDM+DBT 作为标准参考的灵敏度、特异性、阳性预测值（PPV）和阴性预测值（NPV），进行统计分析。C-View+DBT 与 FFDM+DBT 之间的 BI-RADS 分类和密度评估具有很好的读者间一致性，C-View+DBT 的灵敏度、特异性、PPV 和 NPV 均高于 FFDM+DBT。与 FFDM+DBT 相比，以组织病理学为金标准时，C-View+DBT 的 PPV 具有可比性。FFDM+DBT 和 C-View+DBT 的 BI-RADS 分类和密度评估具有很高的读者间一致性。FFDM+DBT 和 C-View+DBT 在肿块特征方面具有良好的一致性，在钙化和不对称密度方面具有近乎完美的一致性。使用 C-View+DBT 可降低 52.2%的辐射剂量。因此，合成的 2D 图像与 FFDM 相当，同时降低了马来西亚多民族人群的辐射剂量。
