title: Impact of breast density on computer-aided detection in full-field digital mammography.
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.
authors.affiliation: Department of Radiology, Georg August University, Robert-Koch-Str. 40, Göttingen Niedersachsen, 37 075, Germany. soben@med.uni-goettingen.de
authors.forename: Silvia
authors.initials: S
authors.lastname: Obenauer
authors.forename: Christian
authors.initials: C
authors.lastname: Sohns
authors.forename: Carola
authors.initials: C
authors.lastname: Werner
authors.forename: Eckhardt
authors.initials: E
authors.lastname: Grabbe
mesh_terms: D000230:Adenocarcinoma / Q000145:classification / Q000000981:diagnostic imaging* / Q000473:pathology*; D002288:Adenocarcinoma, Mucinous / Q000000981:diagnostic imaging / Q000473:pathology; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D002114:Calcinosis / Q000000981:diagnostic imaging / Q000473:pathology; D018270:Carcinoma, Ductal, Breast / Q000000981:diagnostic imaging / Q000473:pathology; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000000981:diagnostic imaging / Q000473:pathology; D018275:Carcinoma, Lobular / Q000000981:diagnostic imaging / Q000473:pathology; D018276:Carcinoma, Medullary / Q000000981:diagnostic imaging / Q000473:pathology; D002291:Carcinoma, Papillary / Q000000981:diagnostic imaging / Q000473:pathology; D005189:False Positive Reactions; D005260:Female; D005858:Germany; D006394:Hemangiosarcoma / Q000000981:diagnostic imaging / Q000473:pathology; D006801:Humans; D008327:Mammography; D009367:Neoplasm Staging; D011856:Radiographic Image Enhancement; D011857:Radiographic Image Interpretation, Computer-Assisted; D012189:Retrospective Studies; D012680:Sensitivity and Specificity