Computer-aided diagnosis in breast DCE-MRI--quantification of the heterogeneity of breast lesions |
| |
Authors: | Preim Uta Glaßer Sylvia Preim Bernhard Fischbach Frank Ricke Jens |
| |
Affiliation: | 1. Herzzentrum Leipzig, Universitätsklinik, Strümpellstraße 39, 04289 Leipzig, Germany;2. Otto-von-Guericke-Universität Magdeburg, FIN/ISG, Universitätsplatz 2, 39106 Magdeburg, Germany;3. Klinik für Radiologie und Nuklearmedizin der Universitätsklinik Magdeburg, Leipziger Straße 44, 39120 Magdeburg, Germany |
| |
Abstract: | PurposeIn our study we aim at the quantification of the heterogeneity for differential diagnosis of breast lesions in MRI.Materials and methodsWe tested a software tool for quantification of heterogeneity. The software tool provides a three-dimensional analysis of the whole breast lesion. The lesions were divided in regions with similar perfusion characteristics. Voxels were merged to the same region, if the perfusion parameters (wash-in, wash-out, integral, peak enhancement and time to peak) correlated to 99%. We evaluated 68 lesions from 50 patients. 31 lesions proved to be benign (45.6%) and 37 malignant (54.4%). We included small lesions which could only be detected with MRI.ResultsThe analysis of heterogeneity showed significant differences (p < 0.005; AUC 0.7). Malignant lesions were more heterogeneous than benign ones. Significant differences were also found for morphologic parameters such as shape (p < 0.001) and margin (p < 0.007). The analysis of the enhancement dynamics did not prove successful in lesion discrimination.ConclusionOur study indicates that the region analysis for quantification of heterogeneity may be a helpful additional method to differentiate benign lesions from malignant ones. |
| |
Keywords: | Breast DCE-MRI Computer-aided diagnosis Breast cancer Perfusion parameter Heterogeneity |
本文献已被 ScienceDirect PubMed 等数据库收录! |
|