Comput Methods Programs Biomed - Computer-aided diagnosis of mass-like lesion in breast MRI: differential analysis of the 3-D morphology between benign and malignant tumors.

Tópicos

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Resumo

This study aimed to evaluate the value of using 3-D breast MRI morphologic features to differentiate benign and malignant breast lesions. The 3-D morphological features extracted from breast MRI were used to analyze the malignant likelihood of tumor from ninety-five solid breast masses (44 benign and 51 malignant) of 82 patients. Each mass-like lesion was examined with regards to three categories of morphologic features, including texture-based gray-level co-occurrence matrix (GLCM) feature, shape, and ellipsoid fitting features. For obtaining a robust combination of features from different categories, the biserial correlation coefficient (|r(pb)|)0.4 was used as the feature selection criterion. Receiver operating characteristic (ROC) curve was used to evaluate performance and Student's t-test to verify the classification accuracy. The combination of the selected 3-D morphological features, including conventional compactness, radius, spiculation, surface ratio, volume covering ratio, number of inside angular regions, sum of number of inside and outside angular regions, showed an accuracy of 88.42% (84/95), sensitivity of 88.24% (45/51), and specificity of 88.64% (39/44), respectively. The AZ value was 0.8926 for these seven combined morphological features. In conclusion, 3-D MR morphological features specified by GLCM, tumor shape and ellipsoid fitting were useful for differentiating benign and malignant breast masses.

Resumo Limpo

studi aim evalu valu use d breast mri morpholog featur differenti benign malign breast lesion d morpholog featur extract breast mri use analyz malign likelihood tumor ninetyf solid breast mass benign malign patient masslik lesion examin regard three categori morpholog featur includ texturebas graylevel cooccurr matrix glcm featur shape ellipsoid fit featur obtain robust combin featur differ categori biseri correl coeffici rpb use featur select criterion receiv oper characterist roc curv use evalu perform student ttest verifi classif accuraci combin select d morpholog featur includ convent compact radius spicul surfac ratio volum cover ratio number insid angular region sum number insid outsid angular region show accuraci sensit specif respect az valu seven combin morpholog featur conclus d mr morpholog featur specifi glcm tumor shape ellipsoid fit use differenti benign malign breast mass

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