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Keywords:
Cancer, Perception image, Ultrasound, Breast
Authors:
M. Costantini1, P. Belli1, E. Bufi2, E. FERRA3, G. T. Bitti4, L. Bonomo1; 1ROME/IT, 2ROMA/IT, 3CAGLIARI /IT, 4cagliari/IT
DOI:
10.1594/ecr2014/C-1640
Aims and objectives
Breast ultrasound is the most important and reliable diagnostic method in adjunct to mammography in the diagnosis of breast disease [1,2] (Fig.
1).
In 2003 The American College of Radiology has been developed a lexicon of sonographic descriptors of breast masses to standardize terms for lesion characterization and reporting (Ultrasound Breast Imaging Reporting and Data System - BI-RADS) [3].
The sonographic BI-RADS lexicon includes sonographic descriptors for shape,
orientation,
margins,
lesion boundary,
echo pattern,
posterior acoustic features,
and surrounding tissue alterations.
On the basis of these descriptors,
each lesion was assigned to a final assessment category associated with a certain risk of malignancy.
On sonography,
a hypoechoic oval,
circumscribed,
parallel breast mass with an abrupt interface is probably benign.
The ACR BI-RADS-US classifies this type of mass as BI-RADS category 3 based on the assumption that there is less than 2% probability of malignancy. All lesions that do not express typical benign signs are classified as class 4 or 5 depending on the association of the various descriptors.
Generally the presence of more highly predictive signs of malignancy allow to assign a lesion to class 5 (more than 95% probability of malignancy) while lesions with intermediate characteristics are assigned to class 4 (2-95% probability of malignancy) [3-5] (Fig.
2).
Innovative features for ultrasound modalities technologies are constantly being developed and recent advanced allow confident characterization of breast masses extracting information regarding tissue structures [6].
However only limited work has been done on establishing correlations between ultrasound imaging features and certain type of biologic behavior of breast cancer [7-12].
The purpose of the present study was to investigate the correlations between ultrasound findings and important prognostic factors in a breast cancer study population.