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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Dynamic contrast-enhanced MRI of the breast: Quantitative method for kinetic curve type assessment
American Journal of Roentgenology, Volume 193, No. 4, Year 2009
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Description
OBJECTIVE. The type of contrast enhancement kinetic curve (i.e., persistently enhancing, plateau, or washout) seen on dynamic contrast-enhanced MRI (DCE-MRI) of the breast is predictive of malignancy. Qualitative estimates of the type of curve are most commonly used for interpretation of DCE-MRI. The purpose of this study was to compare qualitative and quantitative methods for determining the type of contrast enhancement kinetic curve on DCE-MRI. MATERIALS AND METHODS. Ninety-six patients underwent breast DCE-MRI. The type of DCE-MRI kinetic curve was assessed qualitatively by three radiologists on two occasions. For quantitative assessment, the slope of the washout curve was calculated. Kappa statistics were used to determine inter- and intraobserver agreement for the qualitative method. Matched sample tables, the McNemar test, and receiver operating characteristic (ROC) curve statistics were used to compare quantitative versus qualitative methods for establishing or excluding malignancy. RESULTS. Seventy-eight lesions (77.2%) were malignant and 23 (22.8%) were benign. For the qualitative assessment, the intra- and interobserver agreement was good (κ = 0.76-0.88), with an area under the ROC curve (AUC) of 0.73-0.77. For the quantitative method, the highest AUC was 0.87, reflecting significantly higher diagnostic accuracies compared with qualitative assessment (p < 0.01 for the difference between the two methods). CONCLUSION. Quantitative assessment of the type of contrast enhancement kinetic curve on breast DCE-MRI resulted in significantly higher diagnostic performance for establishing or excluding malignancy compared with assessment based on the standard qualitative method. © American Roentgen Ray Society.
Authors & Co-Authors
El-Khouli, Riham H.
United States, Bethesda
National Institutes of Health Nih
United States, Baltimore
Johns Hopkins School of Medicine
Egypt, Ismailia
Faculty of Medicine
MacUra, Katarzyna Jadwiga
United States, Baltimore
Johns Hopkins School of Medicine
Jacobs, Michael A.
United States, Baltimore
Johns Hopkins School of Medicine
United States, Baltimore
The Sidney Kimmel Comprehensive Cancer Center
Khalil, Tarek Hassan
Egypt, Ismailia
Faculty of Medicine
Kamel, Ihab R.
United States, Baltimore
Johns Hopkins School of Medicine
Dwyer, Andrew J.
United States, Bethesda
National Institutes of Health Nih
Bluemke, David A.
United States, Bethesda
National Institutes of Health Nih
Statistics
Citations: 126
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.2214/AJR.09.2483
ISSN:
0361803X
Research Areas
Cancer
Study Approach
Qualitative
Quantitative