Literature DB >> 11179616

Computerized ultrasound B-scan characterization of breast nodules.

F Lefebvre1, M Meunier, F Thibault, P Laugier, G Berger.   

Abstract

The ability of computerized parameters to discriminate benign from malignant breast nodules from digitized ultrasonic acquisitions has been assessed. The images of 75 lesions, including 19 lesions proved to be malignant at histology and 56 found to be benign, were digitized and characterized by morphometric and texture parameters. The texture parameters, derived from first-order statistics, run-length matrices and co-occurrence matrices, were computed in the entire lesion and in a ring-shape region surrounding the contour of the lesion. The strongest features were found to be issued from the second region. Further investigations confirmed that the discriminant information was contained in the external part of the lesion and, to a lesser extent, in the neighboring tissue. A linear discriminant analysis using three features yielded a sensitivity of 94.7% for a specificity of 80.4% and the "leave-one-out" technique confirmed the results. Comparison with the classifications given by radiologists let us assume that information revealed by texture features is able to help the physician in reducing the number of unnecessary biopsies.

Mesh:

Year:  2000        PMID: 11179616     DOI: 10.1016/s0301-5629(00)00302-1

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  6 in total

1.  Real-time texture analysis for identifying optimum microbubble concentration in 2-D ultrasonic particle image velocimetry.

Authors:  Lili Niu; Ming Qian; Liang Yan; Wentao Yu; Bo Jiang; Qiaofeng Jin; Yanping Wang; Robin Shandas; Xin Liu; Hairong Zheng
Journal:  Ultrasound Med Biol       Date:  2011-06-17       Impact factor: 2.998

2.  Highly sensitive computer aided diagnosis system for breast tumor based on color Doppler flow images.

Authors:  Xian-Fen Diao; Xin-Yu Zhang; Tian-Fu Wang; Si-Ping Chen; Ying Yang; Ling Zhong
Journal:  J Med Syst       Date:  2010-04-23       Impact factor: 4.460

Review 3.  Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review.

Authors:  Lejla Alic; Wiro J Niessen; Jifke F Veenland
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

4.  Robust phase-based texture descriptor for classification of breast ultrasound images.

Authors:  Lingyun Cai; Xin Wang; Yuanyuan Wang; Yi Guo; Jinhua Yu; Yi Wang
Journal:  Biomed Eng Online       Date:  2015-03-24       Impact factor: 2.819

5.  Surface roughness detection of arteries via texture analysis of ultrasound images for early diagnosis of atherosclerosis.

Authors:  Lili Niu; Ming Qian; Wei Yang; Long Meng; Yang Xiao; Kelvin K L Wong; Derek Abbott; Xin Liu; Hairong Zheng
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

Review 6.  Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

Authors:  Afsaneh Jalalian; Syamsiah Mashohor; Rozi Mahmud; Babak Karasfi; M Iqbal B Saripan; Abdul Rahman B Ramli
Journal:  EXCLI J       Date:  2017-02-20       Impact factor: 4.068

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.