J Korean Soc Radiol.  2017 Aug;77(2):105-112. 10.3348/jksr.2017.77.2.105.

3D Computer-Aided Detection for Digital Breast Tomosynthesis: Comparison with 2D Computer-Aided Detection for Digital Mammography in the Detection of Calcifications

Affiliations
  • 1Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea. river7774@gmail.com
  • 2Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.
  • 3Department of Radiology, Kyungpook National University School of Medicine, Kyungpook National University Hospital, Daegu, Korea.
  • 4Department of Radiology, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea.

Abstract

PURPOSE
To retrospectively evaluate the performance of 3D computer-aided detection (CAD) for digital breast tomosynthesis (DBT) in the detection of calcifications in comparison with 2D CAD for digital mammography (DM).
MATERIALS AND METHODS
Between 2012 and 2013, both 3D CAD and 2D CAD systems were retrospectively applied to the calcification data set including 69 calcifications (31 malignant calcifications and 38 benign calcifications) and the normal data set including 20 bilateral normal mammograms. Each data set consisted of paired DBT and DM images. Sensitivities for the detection of malignant calcifications were calculated from the calcification data set. False-positive mark rates were calculated from the normal data set. They were compared between the two systems.
RESULTS
Sensitivities of 3D CAD [100% (31/31) at levels 2, 1, and 0] were same as those of the 2D CAD system [100% (31/31) at levels 2 and 1] (p = 1.0, respectively). The mean value of false-positive marks per view with 3D CAD was higher than that with 2D CAD at level 2 (0.52 marks ± 0.91 vs. 0.07 marks ± 0.26, p = 0.009).
CONCLUSION
3D CAD for DBT showed equivalent sensitivity, albeit with a higher false-positive mark rate, than 2D CAD for DM in the detection of calcifications.


MeSH Terms

Breast*
Dataset
Mammography*
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies

Figure

  • Fig. 1 Screening mammography of a 46-year-old woman with invasive ductal carcinoma. A. A mediolateral oblique (right) digital mammogram shows a cluster of amorphous grouped calcifications, hardly detectable by bare eyes. B. 2D CAD correctly marks the calcifications in the posterior breast (triangle). C. 3D CAD also correctly marks the calcifications as overlying dots with dashed boundary lines on the same slice of the reconstructed image with digital breast tomosynthesis. This is a true-positive case both for 3D CAD and 2D CAD. The lesion was confirmed to be a 1.0 cm invasive ductal carcinoma. CAD = computer-aided detection

  • Fig. 2 Screening mammography of a 77-year-old woman with benign calcifications. A. A mediolateral oblique (left) digital mammogram shows benign round calcifications. B. 3D CAD marks the typical benign calcifications as overlying dots with dashed boundary lines on the same slice of the reconstructed image with digital breast tomosynthesis. On the contrary, 2D CAD does not mark the calcifications (data not shown). This is a false-positive case for 3D CAD, but a true-negative case for 2D CAD. The stability of calcifications was confirmed by previous mammograms taken 5 years ago. CAD = computer-aided detection


Cited by  1 articles

Digital Breast Tomosynthesis Screening
Eun Young Chae, Hak Hee Kim
J Korean Soc Radiol. 2019;80(1):19-31.    doi: 10.3348/jksr.2019.80.1.19.


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