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dc.creatorKarahaliou, A.en
dc.creatorVassiou, K.en
dc.creatorArikidis, N. S.en
dc.creatorSkiadopoulos, S.en
dc.creatorKanavou, T.en
dc.creatorCostaridou, L.en
dc.date.accessioned2015-11-23T10:33:00Z
dc.date.available2015-11-23T10:33:00Z
dc.date.issued2010
dc.identifier10.1259/bjr/50743919
dc.identifier.issn0007-1285
dc.identifier.urihttp://hdl.handle.net/11615/28959
dc.description.abstractThe 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.sourceBritish Journal of Radiologyen
dc.source.uri<Go to ISI>://WOS:000275949800004
dc.subjectMAGNETIC-RESONANCE IMAGESen
dc.subjectTEXTURE ANALYSISen
dc.subjectSEGMENTATIONen
dc.subjectCLASSIFICATIONen
dc.subjectVARIABILITYen
dc.subjectDIFFERENTIATIONen
dc.subjectCOOCCURRENCEen
dc.subjectACCURACYen
dc.subjectFEATURESen
dc.subjectCRITERIAen
dc.subjectRadiology, Nuclear Medicine & Medical Imagingen
dc.titleAssessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosisen
dc.typejournalArticleen


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