dc.creator | Karahaliou, A. | en |
dc.creator | Vassiou, K. | en |
dc.creator | Arikidis, N. S. | en |
dc.creator | Skiadopoulos, S. | en |
dc.creator | Kanavou, T. | en |
dc.creator | Costaridou, L. | en |
dc.date.accessioned | 2015-11-23T10:33:00Z | |
dc.date.available | 2015-11-23T10:33:00Z | |
dc.date.issued | 2010 | |
dc.identifier | 10.1259/bjr/50743919 | |
dc.identifier.issn | 0007-1285 | |
dc.identifier.uri | http://hdl.handle.net/11615/28959 | |
dc.description.abstract | The current study investigates the feasibility of using texture analysis to quantify the heterogeneity of lesion enhancement kinetics in order to discriminate malignant from benign breast lesions. A total of 82 biopsy-proven breast lesions (51 malignant, 31 benign), originating from 74 women subjected to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were analysed. Pixel-wise analysis of DCE-MRI lesion data was performed to generate initial enhancement, post-initial enhancement and signal enhancement ratio (SER) parametric maps; these maps were subsequently subjected to co-occurrence matrix texture analysis. The discriminating ability of texture features extracted from each parametric map was investigated using a least-squares minimum distance classifier and further compared with the discriminating ability of the same texture features extracted from the first post-contrast frame. Selected texture features extracted from the SER map achieved an area under receiver operating characteristic curve of 0.922 +/- 0.029, a performance similar to post-initial enhancement map features (0.906 +/- 0.032) and statistically significantly higher than for initial enhancement map (0.767 +/- 0.053) and first post-contrast frame (0.756 +/- 0.060) features. Quantifying the heterogeneity of parametric maps that reflect lesion washout properties could contribute to the computer-aided diagnosis of breast lesions in DCE-MRI. | en |
dc.source | British Journal of Radiology | en |
dc.source.uri | <Go to ISI>://WOS:000275949800004 | |
dc.subject | MAGNETIC-RESONANCE IMAGES | en |
dc.subject | TEXTURE ANALYSIS | en |
dc.subject | SEGMENTATION | en |
dc.subject | CLASSIFICATION | en |
dc.subject | VARIABILITY | en |
dc.subject | DIFFERENTIATION | en |
dc.subject | COOCCURRENCE | en |
dc.subject | ACCURACY | en |
dc.subject | FEATURES | en |
dc.subject | CRITERIA | en |
dc.subject | Radiology, Nuclear Medicine & Medical Imaging | en |
dc.title | Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis | en |
dc.type | journalArticle | en |