Literature DB >> 15337424

Problem-solving ultrasound.

Ellen B Mendelson1.   

Abstract

This article addresses the accepted indications for using ultrasound alone or in conjunction with other imaging techniques in solving problems of breast diagnosis and guiding patient management. The indications include evaluation of palpable and mammographic masses; guidance of interventional procedures; evaluating problems with implants; radiation treatment planning; and as the initial imaging technique in young,pregnant, and lactating patients. Evolving indications and controversial applications for breast ultrasound are also discussed.

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Mesh:

Year:  2004        PMID: 15337424     DOI: 10.1016/j.rcl.2004.06.015

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  5 in total

1.  A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability.

Authors:  Sun Mi Kim; Heon Han; Jeong Mi Park; Yoon Jung Choi; Hoi Soo Yoon; Jung Hee Sohn; Moon Hee Baek; Yoon Nam Kim; Young Moon Chae; Jeon Jong June; Jiwon Lee; Yong Hwan Jeon
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

Review 2.  Incorporating new imaging models in breast cancer management.

Authors:  Denise H Reddy; Ellen B Mendelson
Journal:  Curr Treat Options Oncol       Date:  2005-03

3.  Problem-solving breast MRI: useful or a source of new problems?

Authors:  Füsun Taşkın; Yasemin Polat; İbrahim H Erdoğdu; Figen T Türkdoğan; Veli Suha Öztürk; Serdar Özbaş
Journal:  Diagn Interv Radiol       Date:  2018-09       Impact factor: 2.630

4.  Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions.

Authors:  Ying Zhang; Chong-Ke Zhao; Xiao-Long Li; Ya-Ping He; Wei-Wei Ren; Cai-Ping Zou; Yue-Wu Du; Hui-Xiong Xu
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

Review 5.  Molecular imaging as a tool for translating breast cancer science.

Authors:  David A Mankoff
Journal:  Breast Cancer Res       Date:  2008-12-09       Impact factor: 6.466

  5 in total

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