Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms (CROSBI ID 200053)
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Božek, Jelena ; Kallenberg, Michiel ; Grgić, Mislav ; Karssemeijer, Nico
engleski
Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms
Temporal comparison of lesions might improve classification between benign and malignant lesions in FFDM mammograms. We compare the use of volumetric features for lesion classication, which are computed from dense tissue thickness maps, to the use of mammographic lesion area. Use of dense tissue thickness maps for lesion characterization is advantageous, since it results in lesion features that are invariant to acquisition parameters. The dataset used in the analysis consisted of 60 temporal mammogram pairs comprising 120 MLO or CC views with a total of 65 lesions, of which 41 were benign and 24 malignant. We analysed the performance of four volumetric features, area and four other commonly used features obtained from temporal mammogram pairs, current mammograms and prior mammograms. We evaluated the individual performance of all features and of different feature sets. We used linear discriminant analysis with leave-one-out cross validation to classify di fferent feature sets. Volumetric features from temporal mammogram pairs achieved the best individual performance, as measured by the area under the ROC curve (Az value). Volume change (Az = 0.88) achieved higer Az value than projected lesion area change (Az = 0.78) in the temporal comparison of lesions. Best performance was achieved with a set that consisted of a set of features extracted from the current exam combined with four volumetric features representing changes with respect to the prior mammogram (Az = 0.90). This was significantly better (p = 0.005) than the performance obtained using features from the current exam only (Az = 0.77). Volumetric features from temporal mammogram pairs combined with features from the single exam significantly improve discrimination of benign and malignant lesions in FFDM mammograms compared to using only single exam features. In the comparison with prior mammograms, use of volumetric change may lead to better performance than use of lesion area change.
volumetric features; dense tissue thickness; temporal comparison; digital mammography; CAD
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