Evaluation of contrast-enhanced digital mammography.
OBJECTIVE
The goal of this prospective study was to evaluate the possible diagnostic benefits of contrast-enhanced digital mammography (CEDM) over conventional mammography.


METHODS
Our analysis included data from 70 patients with a total of 80 lesions (30 malignant and 50 benign). A series of contrast-enhanced images was acquired from each patient using a modified imaging system (GE Senographe 2000D with copper filter) suitable for displaying iodine contrast medium. After the mask image had been taken, the contrast medium was administered using a dosage of 1ml/kg body weight at a rate of 4ml/s. Three contrast-enhanced images in the cranio-caudal projection plane were then captured at intervals of 60s. The mask image was logarithmically subtracted from the contrast-enhanced images. We performed a ROC analysis of diagnostic quality with three readers.


RESULTS
On average, 5.66 more malignant lesions were detected with the addition of digital dynamic contrast mammography versus conventional mammography alone. The sensitivity was increased from an average of 0.43 in conventional mammography to an average of 0.62 with contrast mammography. Even in dense breast parenchyma, the sensitivity increased from an average of 0.35-0.59. In the multi-reader-ROC analyses of all readers, the differences in the AUC with p=0.02 (BI-RADS) proved statistically significant in all cases. The Wilcoxon test showed that Readers I and II primarily used the CEDM to upgrade enhancing lesions to a higher BI-RADS category or a higher probability of malignancy. These two readers benefited most from the CEDM in the ROC analysis.


CONCLUSIONS
Overall, we conclude that the addition of dynamic digital subtraction mammography to conventional mammography can significantly improve diagnostic quality. The increased sensitivity is particularly pronounced in the case of dense breast tissue.
Diekmann
Felix
F
Institut für Radiologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. Felix.Diekmann@charite.de
Freyer
Martin
M
Diekmann
Susanne
S
Fallenberg
Eva M
EM
Fischer
Thomas
T
Bick
Ulrich
U
Pöllinger
Alexander
A
D000328:Adult; D019540:Area Under Curve; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D016009:Chi-Square Distribution; D003287:Contrast Media; D003937:Diagnosis, Differential; D004867:Equipment Design; D005260:Female; D006801:Humans; D007472:Iohexol / Q000031:analogs & derivatives*; D008327:Mammography / Q000295:instrumentation / Q000379:methods*; D011446:Prospective Studies; D012372:ROC Curve; D012680:Sensitivity and Specificity; D018709:Statistics, Nonparametric; D013382:Subtraction Technique
D003287:Contrast Media; D007472:Iohexol; C038192:iopromide