Accuracy and reading time for six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts.
Eur Radiol
; 27(12): 5179-5184, 2017 Dec.
Article
em En
| MEDLINE
| ID: mdl-28643094
ABSTRACT
OBJECTIVE:
To compare six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts. MATERIALS ANDMETHODS:
This 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.RESULTS:
The 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.CONCLUSION:
Double 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.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Mama
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Neoplasias da Mama
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Mamografia
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Interpretação de Imagem Radiográfica Assistida por Computador
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Guias de Prática Clínica como Assunto
Tipo de estudo:
Clinical_trials
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Guideline
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Observational_studies
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article