Literature DB >> 9714387

The accuracy of breast ultrasound in the evaluation of clinically benign discrete, symptomatic breast lumps.

D Lister1, A J Evans, H C Burrell, R W Blamey, A R Wilson, S E Pinder, I O Ellis, C W Elston, J Kollias.   

Abstract

INTRODUCTION: Recent reports have suggested that breast ultrasound (US) is of value in distinguishing malignant from benign processes. The aim of this study was to establish the accuracy of US in detecting invasive malignancy in clinically benign, discrete, symptomatic breast lumps.
METHODS: The US appearances of 205 clinically benign breast masses were documented prospectively and prior to mammography by one radiologist (AJE). The US appearances were then correlated with the fine needle aspiration (FNA), core biopsy and surgical findings and compared with the mammographic findings.
RESULTS: The US findings were normal 72 (35%), simple cyst 63 (31%), solid benign 51 (25%), solid indeterminate 15 (7%) and solid malignant four (2%). Ultrasound characterized 13 (93%) of the 14 patients found to have invasive carcinoma as indeterminate or malignant. No patients with normal or simple cyst US findings had invasive malignancy. Ultrasound had significantly better accuracy (97% vs 87%, P < 0.02) sensitivity (93% vs 57%, P < 0.05) and negative predictive value (99% vs 92%, P < 0.002) than mammography in the detection of invasive carcinoma when indeterminate and malignant imaging findings were taken as positive.
CONCLUSION: US is a useful adjunct to FNA/core biopsy in confirming the nature of symptomatic, clinically benign breast masses and is superior to mammography in this clinical setting.

Entities:  

Mesh:

Year:  1998        PMID: 9714387     DOI: 10.1016/s0009-9260(98)80167-0

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Isolated adenocarcinoma of the nipple.

Authors:  M Ahmed; A Basit
Journal:  BMJ Case Rep       Date:  2011-07-27

2.  Evaluating thin compression paddles for mammographically compatible ultrasound.

Authors:  Rebecca C Booi; Jochen F Krücker; Mitchell M Goodsitt; Matthew O'Donnell; Ajay Kapur; Gerald L LeCarpentier; Marilyn A Roubidoux; J Brian Fowlkes; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2007-03       Impact factor: 2.998

3.  Use of shear wave elastography to differentiate benign and malignant breast lesions.

Authors:  Deniz Çebi Olgun; Bora Korkmazer; Fahrettin Kılıç; Atilla Süleyman Dikici; Mehmet Velidedeoğlu; Fatih Aydoğan; Fatih Kantarcı; Mehmet Halit Yılmaz
Journal:  Diagn Interv Radiol       Date:  2014 May-Jun       Impact factor: 2.630

4.  Thyroid nodules coexisting with either cystic or solid breast nodules: a new clue for this association between nodules coming from ultrasonography.

Authors:  Alessandro Sindoni; Fausto Fama'; Antonio Rosano'; Claudio Scisca; Gianlorenzo Dionigi; Christian A Koch; Maria Gioffrè-Florio; Salvatore Benvenga
Journal:  Gland Surg       Date:  2017-12

5.  Value of Ultrasound in the Detection of Benign and Malignant Breast Diseases: A Diagnostic Accuracy Study.

Authors:  Farideh Gharekhanloo; Mostafa Morad Haseli; Saadat Torabian
Journal:  Oman Med J       Date:  2018-09

6.  The significance of dual-mode elastography in the diagnosis of breast lesions by physicians with different levels of experience.

Authors:  Sijing Huang; Xiuqin Ye; Keen Yang; Hongtian Tian; Zhimin Ding; Jing Chen; Jinfeng Xu; Fajin Dong
Journal:  Quant Imaging Med Surg       Date:  2022-02

7.  Quantitative shear wave ultrasound elastography: initial experience in solid breast masses.

Authors:  Andrew Evans; Patsy Whelehan; Kim Thomson; Denis McLean; Katrin Brauer; Colin Purdie; Lee Jordan; Lee Baker; Alastair Thompson
Journal:  Breast Cancer Res       Date:  2010-12-01       Impact factor: 6.466

8.  Pilomatrixoma of the adult male breast: a rare tumor with typical ultrasound features.

Authors:  Charles M Hubeny; Jeremy B Sykes; Avice O'Connell; Vikram S Dogra
Journal:  J Clin Imaging Sci       Date:  2011-02-11

9.  Benign and malignant breast lesions identification through the values derived from shear wave elastography: evidence for the meta-analysis.

Authors:  Yan Xue; Shuxin Yao; Xiaodong Li; Huarong Zhang
Journal:  Oncotarget       Date:  2017-09-21
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.