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Accuracy and reading time for six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts

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AbstractObjectiveTo compare six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts.Materials and methodsThis is a substudy of the ‘ASTOUND’ trial. 163 women who underwent tomosynthesis with… Click to show full abstract

AbstractObjectiveTo compare six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts.Materials and methodsThis is a substudy of the ‘ASTOUND’ trial. 163 women who underwent tomosynthesis with synthetically reconstructed projection images (S-2D) inclusive of 13 (7.9%) cases diagnosed with breast cancer at histopathology after surgery were evaluated. Accuracy measures and screen-reading time of six reading strategies were assessed: (A) Single reading of S-2D alone, (B) single reading of tomosynthesis alone, (C) single reading of joint interpretation of tomosynthesis + S-2D, (D) double-reading of S-2D alone, (E) double reading of tomosynthesis alone, (F) double reading of joint interpretation of tomosynthesis + S-2D.ResultsThe median age of the patients was 53 years (range, 36–88 years). The highest global accuracy was obtained with double reading of tomosynthesis + S2D (F) with an AUC of 0.979 (p<0.001) and a mean reading time of 154 s versus 34 s for the fastest strategy (single reading of S-2D alone). The AUCs for the other five strategies did not differ from each other.ConclusionDouble reading of tomosynthesis+ S2D had the best accuracy of six screen-reading strategies although it had the longest reading time.Key Points• Tomosynthesis acquisitions are progressively implemented with reconstructed synthesized 2D images • Double reading using S-2D plus tomosynthesis had the highest global accuracy (p<0.001). • Double reading of S-2D plus tomosynthesis increased reading time.

Keywords: reading time; double reading; tomosynthesis; breast

Journal Title: European Radiology
Year Published: 2017

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