Literature DB >> 17082996

A review of breast ultrasound.

Chandra M Sehgal1, Susan P Weinstein, Peter H Arger, Emily F Conant.   

Abstract

Frequent advances in transducer design, electronics, computers, and signal processing have improved the quality of ultrasound images to the extent that sonography is now a major mode of imaging for the clinical diagnosis of breast cancer. Breast ultrasound is routinely used for differentiating cysts and solid nodules with high specificity. In combination with mammography, ultrasound is used to characterize solid masses as benign or malignant. There is growing interest in using Doppler ultrasound and contrast agents for measuring tumor blood flow and for imaging tumor vascularity. Ease of use and real-time imaging capability make breast ultrasound a method of choice for guiding breast biopsies and other interventional procedures. Breast ultrasound is used in many forms. B-mode is the most common form of imaging for the breast, although compound imaging and harmonic imaging are being increasingly applied to better visualize breast lesions and to reduce image artifacts. These developments, together with the formulation of a standardized lexicon of solid mass features, have improved the diagnostic performance of breast ultrasound. Several approaches that are currently being investigated to further improve performance include: (1) computer-aided-diagnosis; (2) the assessment of tumor vascularity and tumor blood flow with Doppler ultrasound and contrast agents; and (3) tissue elasticity imaging. In the future, ultrasound will play a greater role in differentiating benign from malignant masses and in the diagnosis of breast cancer.

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Year:  2006        PMID: 17082996     DOI: 10.1007/s10911-006-9018-0

Source DB:  PubMed          Journal:  J Mammary Gland Biol Neoplasia        ISSN: 1083-3021            Impact factor:   2.673


  85 in total

Review 1.  Elastography: ultrasonic estimation and imaging of the elastic properties of tissues.

Authors:  J Ophir; S K Alam; B Garra; F Kallel; E Konofagou; T Krouskop; T Varghese
Journal:  Proc Inst Mech Eng H       Date:  1999       Impact factor: 1.617

Review 2.  Rationale for a trial of screening breast ultrasound: American College of Radiology Imaging Network (ACRIN) 6666.

Authors:  Wendie A Berg
Journal:  AJR Am J Roentgenol       Date:  2003-05       Impact factor: 3.959

3.  Computer-aided diagnosis of breast tumors with different US systems.

Authors:  Wen-Jia Kuo; Ruey-Feng Chang; Woo Kyung Moon; Cheng Chun Lee; Dar-Ren Chen
Journal:  Acad Radiol       Date:  2002-07       Impact factor: 3.173

4.  BI-RADS for sonography: positive and negative predictive values of sonographic features.

Authors:  Andrea S Hong; Eric L Rosen; Mary S Soo; Jay A Baker
Journal:  AJR Am J Roentgenol       Date:  2005-04       Impact factor: 3.959

5.  Malignant breast masses detected only by ultrasound. A retrospective review.

Authors:  P B Gordon; S L Goldenberg
Journal:  Cancer       Date:  1995-08-15       Impact factor: 6.860

6.  Management of solid breast nodules: what is the role of sonography?

Authors:  V P Jackson
Journal:  Radiology       Date:  1995-07       Impact factor: 11.105

7.  Breast tumors: computer-assisted quantitative assessment with color Doppler US.

Authors:  S Huber; S Delorme; M V Knopp; H Junkermann; I Zuna; D von Fournier; G van Kaick
Journal:  Radiology       Date:  1994-09       Impact factor: 11.105

8.  Determination of the nonlinearity parameter B/A of biological media.

Authors:  W K Law; L A Frizzell; F Dunn
Journal:  Ultrasound Med Biol       Date:  1985 Mar-Apr       Impact factor: 2.998

9.  Computer-aided diagnosis applied to US of solid breast nodules by using neural networks.

Authors:  D R Chen; R F Chang; Y L Huang
Journal:  Radiology       Date:  1999-11       Impact factor: 11.105

10.  Computerized detection and classification of cancer on breast ultrasound.

Authors:  Karen Drukker; Maryellen L Giger; Carl J Vyborny; Ellen B Mendelson
Journal:  Acad Radiol       Date:  2004-05       Impact factor: 3.173

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  28 in total

1.  A pilot study to evaluate assisted freehand ultrasound elasticity imaging in the sizing of early breast cancer: a comparison of B-mode and AFUSON elasticity ultrasound with histopathology measurements.

Authors:  R E English; J Li; A J C Parker; D Roskell; R F Adams; V Parulekar; J Baldwin; Y Chi; J A Noble
Journal:  Br J Radiol       Date:  2011-06-01       Impact factor: 3.039

Review 2.  Accuracy of ultrasound-guided, large-core needle breast biopsy.

Authors:  G Schueller; C Schueller-Weidekamm; T H Helbich
Journal:  Eur Radiol       Date:  2008-04-15       Impact factor: 5.315

Review 3.  Current and future trends in photoacoustic breast imaging.

Authors:  Srirang Manohar; Maura Dantuma
Journal:  Photoacoustics       Date:  2019-06-30

4.  Unifocal Invasive Lobular Carcinoma: Tumor Size Concordance Between Preoperative Ultrasound Imaging and Postoperative Pathology.

Authors:  Gopal R Vijayaraghavan; Srinivasan Vedantham; Gabriela Santos-Nunez; Rebecca Hultman
Journal:  Clin Breast Cancer       Date:  2018-07-27       Impact factor: 3.225

5.  Preoperatively determining the margins of subcutaneous malignant soft tissue tumours using contrast-enhanced ultrasonography.

Authors:  Sota Oguro; Kazutaka Kikuta; Aya Sasaki; Kiyoshi Okuma; Shunsuke Matsumoto; Hiroaki Sugiura; Hideo Morioka; Masaya Nakamura; Morio Matsumoto; Masahiro Jinzaki
Journal:  J Med Ultrason (2001)       Date:  2017-09-11       Impact factor: 1.314

Review 6.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

7.  Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

8.  Correlation between Blood Flow Signal of Color Flow Imaging and Nottingham Prognostic Index in Patients with Breast Carcinoma.

Authors:  Zhi-Yong Shen; Bing Hu; Ming-Feng Wu
Journal:  Breast Care (Basel)       Date:  2012-04-24       Impact factor: 2.860

9.  PHOTOACOUSTIC IMAGING FOR MEDICAL DIAGNOSTICS.

Authors:  Carolyn L Bayer; Geoffrey P Luke; Stanislav Y Emelianov
Journal:  Acoust Today       Date:  2012-10-01

10.  Modern breast cancer detection: a technological review.

Authors:  Adam B Nover; Shami Jagtap; Waqas Anjum; Hakki Yegingil; Wan Y Shih; Wei-Heng Shih; Ari D Brooks
Journal:  Int J Biomed Imaging       Date:  2009-12-28
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