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Radiologia Brasileira

On-line version ISSN 1678-7099


AZEVEDO, Carolina Maria de; ALVARENGA, André Victor; PEREIRA, Wagner Coelho de Albuquerque  and  INFANTOSI, Antonio Fernando Catelli. Computer-assisted analysis of breast tumors texture on sonographic images of patients submitted to breast-conserving surgery. Radiol Bras [online]. 2009, vol.42, n.6, pp.363-369. ISSN 1678-7099.

OBJECTIVE: The purpose of this study was to assess the features of breast lesion texture on sonographic images of patients submitted to breast-conserving surgery, with or without tumor recurrence. MATERIALS AND METHODS: Sonographic images of 36 patients submitted to conservative surgery for breast cancer, 12 of them with, and 24 without local recurrence, included 3 contralateral malignant lesions, 7 benign lumps (3 cysts and 4 fibroadenomas), 5 atypical hyperplasias and 9 fibrocystic changes. The quantification of features of breast lesion texture was based on ten parameters calculated from gray-level co-occurrence matrix and complexity curve. Linear discriminant analysis was applied to the texture parameters for differentiating between breast lesions in women submitted to conservative surgery with and without tumor recurrence. RESULTS: The assessment of performance of texture parameters in distinguishing lesion recurrences in a group including benign lumps and atypical hyperplasias demonstrated specificity of 100%, and accuracy and sensitivity > 91%. Another test demonstrated that texture parameters were useful in the differentiation between atypical hyperplasias and benign lumps. CONCLUSION: Despite the limited number of cases, the present results can be considered as promising, suggesting that texture parameters may help in the differentiation among benign lumps, atypical hyperplasias and recurrent malignant lesions.

Keywords : Computer-assisted image processing; Computer-assisted image interpretation; Computer-assisted decision making; Recurrence; Breast ultrasonography.

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