Computer-aided diagnosis in breast DCE-MRI鈥擰uantification of the heterogeneity of breast lesions

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• 作者：Uta Preim^a ; ^{uta.preim@googlemail.com} ; Sylvia Glaß ; er^b ; ¹ ; ^{sylvia.glasser@ovgu.de} ; Bernhard Preim^b ; ¹ ; ^{bernhard.preim@ovgu.de} ; Frank Fischbach^c ; ² ; ^{frank.fischbach@med.ovgu.de} ; Jens Ricke^c ; ² ; ^{jens.ricke@med.ovgu.de}
• 关键词：Breast DCE-MRI ; Computer-aided diagnosis ; Breast cancer ; Perfusion parameter ; Heterogeneity
• 刊名：European Journal of Radiology
• 出版年：2012
• 期刊代码：93_0720048x
• 类别：med
• 出版时间：July, 2012
• 卷：81
• 期：7
• 页码：1532-1538
• 文件大小：916 K

摘要

Purpose

In our study we aim at the quantification of the heterogeneity for differential diagnosis of breast lesions in MRI.

Materials and methods

We 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.

Results

The 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.

Conclusion

Our study indicates that the region analysis for quantification of heterogeneity may be a helpful additional method to differentiate benign lesions from malignant ones.