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Journal of Imaging Informatics in Medicine

Published in:

01-09-2006

Impact of Breast Density on Computer-Aided Detection in Full-Field Digital Mammography

Authors: Silvia Obenauer, Christian Sohns, Carola Werner, Eckhardt Grabbe

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2006

Abstract

The goal of this study was to evaluate the performance of a computer-aided detection (CAD) system in full-field digital mammography (Senographe 2000D, General Electric, Buc, France) in finding out carcinomas depending on the parenchymal density. A total of 226 mediolateral oblique (MLO) and 186 craniocaudal (CC) mammographic views of histologically proven cancers were retrospectively evaluated with a digital CAD system (ImageChecker V2.3 R2 Technology, Los Altos, CA, USA). Malignant tumors were detected correctly by CAD in MLO view in 84.85% in breasts with parenchymal tissue density of the American College of Radiology (ACR) type 1, in 70.33% of the ACR type 2, in 68.12% of the ACR type 3, and in 69.70% of the ACR type 4. For the CC view, similar results were found according to the ACR types. Using the chi-square and McNemar tests, there was no statistical significance. However, a trend of better detection could be seen with decreasing ACR type. In conclusion, there seems to be a tendency for breast tissue density to affect the detection rate of breast cancer when using the CAD system.

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Title: Impact of Breast Density on Computer-Aided Detection in Full-Field Digital Mammography
Authors: Silvia Obenauer
Christian Sohns
Carola Werner
Eckhardt Grabbe
Publication date: 01-09-2006
Publisher: Springer-Verlag
Published in: Journal of Imaging Informatics in Medicine / Issue 3/2006
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-006-0592-x

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Impact of Breast Density on Computer-Aided Detection in Full-Field Digital Mammography

Abstract

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Abstract

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