Abstract Archives of the RSNA, 2014
SSJ01-01
3D Computer-Aided Detection (CAD) System for Breast Tomosynthesis in the Detection of Microcalcifications: Initial Experience
Scientific Papers
Presented on December 2, 2014
Presented as part of SSJ01: Breast Imaging (Quantitative Imaging)
A Jung Chu MD, Presenter: Nothing to Disclose
Nariya Cho MD, Abstract Co-Author: Nothing to Disclose
Jung Min Chang MD, Abstract Co-Author: Nothing to Disclose
Won Hwa Kim MD, PhD, Abstract Co-Author: Nothing to Disclose
Min Sun Bae MD, PhD, Abstract Co-Author: Nothing to Disclose
Su Hyun Lee MD, Abstract Co-Author: Nothing to Disclose
Woo Kyung Moon, Abstract Co-Author: Nothing to Disclose
Sung Ui Shin MD, Abstract Co-Author: Nothing to Disclose
Sung Eun Song MD, Abstract Co-Author: Nothing to Disclose
To evaluate the performance of a 3D computer-aided detection (CAD) system for breast tomosynthesis (DBT) in the detection of microcalcifications in comparison with 2D CAD for digital mammography.
3D CAD (ImageChecker 1.0, Hologic) and 2D CAD systems (R2 ImageChecker CAD 9.3, Hologic) were retrospectively applied to combined DBT-digital mammograms of 68 women (mean age, 51 years; range, 30-77 years) with 68 microcalcifications (31 malignant [14 invasive, 17 DCIS], 37 benign; BI-RADS category 2 in 19, category 3 in 2, category 4 in 31, and category 5 in 16). Number of DBT reconstructed slices obtained per breast ranged from 36 to 76 (mean, 56.7). CAD marks were considered positive if the location of the corresponding lesions were correctly identified on at least one slice of DBT or one view of digital mammograms. Sensitivities for malignancy and for recalled lesions were defined as the number of lesions correctly marked divided by the total number of malignant lesions and by the number of the BI-RADS category 3, 4, or 5 lesions, respectively. To evaluate the false-positive mark rate, 20 mammograms with no clinical or radiologic abnormalities during 2-year follow-up in 20 women were used. Differences between 3D and 2D CAD systems were compared by using McNemar test and Wilcoxon signed rank test.
Sensitivities of 3D CAD were similar to those of 2D CAD for both malignancies (97% [30/31] vs. 100% [31/31], P = 1.0) and recalled lesions (97% [48/49] vs. 100% [49/49], P = 1.0). 2D CAD correctly marked one additional cancer at one view, which was missed by 3D CAD. For the 20 normal mammograms, mean false-positive marks per view with 3D CAD was similar to that of 2D CAD (0.13 vs. 0.14, P = 0.48).
3D CAD for DBT achieved 97% sensitivities for both malignant and recalled microcalcifications with 0.13 false-positive marks per view, which was comparable to those of 2D CAD.
3D CAD is expected to reduce the interpretation time for radiologists in the detection of suspicious microcalcifications in reconstructed DBT slices with high sensitivity and an acceptable false positive rate.
Chu, A,
Cho, N,
Chang, J,
Kim, W,
Bae, M,
Lee, S,
Moon, W,
Shin, S,
Song, S,
3D Computer-Aided Detection (CAD) System for Breast Tomosynthesis in the Detection of Microcalcifications: Initial Experience. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14009252.html