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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Relationship of temporal resolution to diagnostic performance for dynamic contrast enhanced MRI of the breast
Journal of Magnetic Resonance Imaging, Volume 30, No. 5, Year 2009
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Description
Purpose: To investigate the relationship between temporal resolution of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and classification of breast lesions as benign versus malignant. Materials and Methods: Patients underwent T1-weighted DCE MRI with 15 s/acquisition temporal resolution using 1.5 Tesla (n = 48) and 3.0T (n = 33) MRI scanners. Seventy-nine patients had pathologically proven diagnosis and 2 had 2 years follow-up showing no change in lesion size. The temporal resolution of DCE MRI was systematically reduced as a postprocessing step from 15 to 30, 45, and 60 s/acquisition by eliminating intermediate time points. Average wash-in and wash-out slopes, wash-out percentage changes, and kinetic curve shape (persistently enhancing, plateau, or wash-out) were compared for each temporal resolution. Logistic regression and receiver operating characteristic (ROC) curve analysis were used to compare kinetic parameters and diagnostic accuracy. Results: Sixty patients (74%) had malignant lesions and 21 patients (26%) had benign lesions. All temporal-resolution parameters significantly predicted benign versus malignant diagnosis (P < 0.05). However, 45 s/acquisition and higher temporal-resolution datasets showed higher accuracy than the 60 s/acquisition dataset by ROC curve analysis (0.72 versus 0.69 for average wash-in slope; 0.85 versus 0.82, for average wash-out slope; and 0.88 versus 0.80 for kinetic curve shape assessment, for 45 s/acquisition versus 60 s/acquisition temporal-resolution datasets, respectively (P = 0.027). Conclusion: DCE MRI data with at least 45-s temporal resolution maximized the agreement between the kinetic parameters and correct classification of benign versus malignant diagnosis. © 2009 Wiley-Liss, Inc.
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
Barker, Peter B.
United States, Baltimore
Johns Hopkins School of Medicine
Habba, Mohamed Refaat
Egypt, Ismailia
Faculty of Medicine
Jacobs, Michael A.
United States, Baltimore
Johns Hopkins School of Medicine
Bluemke, David A.
United States, Bethesda
National Institutes of Health Nih
Statistics
Citations: 175
Authors: 6
Affiliations: 3
Identifiers
Doi:
10.1002/jmri.21947
ISSN:
10531807
e-ISSN:
15222586
Research Areas
Cancer
Study Design
Cohort Study