Speckle reduction approach for breast ultrasound image and its application to breast cancer diagnosis.

Abstract:

OBJECTIVES:To retrospectively evaluate the effects of a speckle reduction algorithm on radiologists' diagnosis of malignant and benign breast lesions on ultrasound (US) images. METHODS:Using a database of 603 breast (US) images of 211 cases (109 benign lesions and 102 malignant ones), the original and speckle-reduced images were assessed by five radiologists and final assessment categories were assigned to indicate the probability of malignancy according to BI-RADS-US. The diagnostic sensitivity and specificity were investigated by the areas (Az) under the receiver operating characteristic (ROC) curves. RESULTS:The sensitivity and specificity of breast lesions on Ultrasound images improved from 88.7% to 94.3%, from 68.6% to 75.2%, respectively, and the area (Az) under ROC curve of diagnosis also increased from 0.843 to 0.939, Z=4.969, there were significant differences in the Az between the original breast lesions and speckle-reduced ones on Ultrasound images (P<0.001). The diagnostic accuracy of breast lesions had been highly improved from 78.67% to 92.73% after employing this algorithm. CONCLUSIONS:The results demonstrate the promising performance of the proposed speckle reduction algorithm in distinguishing malignant from benign breast lesions which will be useful for breast cancer diagnosis.

journal_name

Eur J Radiol

authors

Su Y,Wang H,Wang Y,Guo Y,Cheng H,Zhang Y,Tian J

doi

10.1016/j.ejrad.2009.10.001

subject

Has Abstract

pub_date

2010-07-01 00:00:00

pages

e136-41

issue

1

eissn

0720-048X

issn

1872-7727

pii

S0720-048X(09)00548-8

journal_volume

75

pub_type

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