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American Journal of Roentgenology, June, Vol. 206, No. 6 : pp. 1341-1350

https://doi.org/10.2214/AJR.15.15367


ABSTRACT :

OBJECTIVE. The objective of our study was to assess and compare, in a reader study, radiologists' performance in the detection of breast cancer using full-field digital mammography (FFDM) alone and using FFDM with 3D automated breast ultrasound (ABUS).

MATERIALS AND METHODS. In this multireader, multicase, sequential-design reader study, 17 Mammography Quality Standards Act–qualified radiologists interpreted a cancer-enriched set of FFDM and ABUS examinations. All imaging studies were of asymptomatic women with BI-RADS C or D breast density. Readers first interpreted FFDM alone and subsequently interpreted FFDM combined with ABUS. The analysis included 185 cases: 133 noncancers and 52 biopsy-proven cancers. Of the 52 cancer cases, the screening FFDM images were interpreted as showing BI-RADS 1 or 2 findings in 31 cases and BI-RADS 0 findings in 21 cases. For the cases interpreted as BI-RADS 0, a forced BI-RADS score was also given. Reader performance was compared in terms of AUC under the ROC curve, sensitivity, and specificity.

RESULTS. The AUC was 0.72 for FFDM alone and 0.82 for FFDM combined with ABUS, yielding a statistically significant 14% relative improvement in AUC (i.e., change in AUC = 0.10 [95% CI, 0.07–0.14]; p < 0.001). When a cutpoint of BI-RADS 3 was used, the sensitivity across all readers was 57.5% for FFDM alone and 74.1% for FFDM with ABUS, yielding a statistically significant increase in sensitivity (p < 0.001) (relative increase = 29%). Overall specificity was 78.1% for FFDM alone and 76.1% for FFDM with ABUS (p = 0.496). For only the mammography-negative cancers, the average AUC was 0.60 for FFDM alone and 0.75 for FFDM with ABUS, yielding a statistically significant 25% relative improvement in AUC with the addition of ABUS (p < 0.001).

CONCLUSION. Combining mammography with ABUS, compared with mammography alone, significantly improved readers' detection of breast cancers in women with dense breast tissue without substantially affecting specificity.

Keywords: breast imaging, screening, ultrasound, whole-breast ultrasound

Acknowledgments
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We thank Dave P. Miller, Ingrid Reiser, and Robert M. Nishikawa for their help with this study.

Address correspondence to M. L. Giger ().

M. L. Giger, A. Edwards, J. Papaioannou, and Y. Jiang received a research grant from U-Systems to conduct an independent reader study for use in a U.S. Food and Drug Administration application. The readers' rating data used for the analysis in the study described in this AJR article came from that study. M. F. Inciardi received financial compensation for physician training for automated breast ultrasound interpretation and consulting, and R. Brem received compensation for consulting from U-Systems.

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