Ultrasound positive predictive values by BI-RADS categories 3–5 for solid masses: An independent reader study-Reference-Cited by-同舟云学术

Ultrasound positive predictive values by BI-RADS categories 3–5 for solid masses: An independent reader study

Published:2017-04-10 Issue:10 Volume:27 Page:4307-4315
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Stavros A. Thomas,Freitas Andrea G.,deMello Giselle G. N.,Barke Lora,McDonald Dennis,Kaske Terese,Wolverton Ducly,Honick Arnold,Stanzani Daniela,Padovan Adriana H.,Moura Ana Paula C.,de Campos Marilia C. V.

Funder

there is no funding for this study

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00330-017-4835-7/fulltext.html

Reference24 articles.

1. American College of Radiology (2013) BI-RADS®—Ultrasound. version 2. In: Breast Imaging Reporting and Data System (BI-RADS) atlas, 5th edn. American College of Radiology, Reston

2. Berg WA, Blume JD, Cormack JB et al (2008) Combined screening with ultrasound and mammography vs. mammography alone in women at elevated risk of breast cancer. JAMA 299:2151–2163

3. Berg WA, Zhang Z, Lehrer D et al (2012) Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA 307:1394–1404

4. Tagliafico AS, Calabrese M, Mariscotti G et al (2016) Adjunct screening with tomosynthesis or ultrasound in women with mammography-negative dense breasts: interim report of a prospective comparative trial. JCO 34:1882–1888

5. Berg WA (2016) Current Status of Supplemental Screening in Dense Breasts. JCO 34:1840–1843

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. US-based radiomics analysis of different machine learning models for differentiating benign and malignant BI-RADS 4A breast lesions;Academic Radiology;2024-08

2. A Nomogram for Enhancing the Diagnostic Effectiveness of Solid Breast BI-RADS 3-5 Masses to Determine Malignancy Based on Imaging Aspects of Conventional Ultrasonography and Contrast-Enhanced Ultrasound;Clinical Breast Cancer;2023-10

3. The feasibility of a novel computer-aided classification system for the characterisation and diagnosis of breast masses on ultrasound: a single-centre preliminary test study;Clinical Radiology;2023-07

4. The Role of Ultrasound in the Diagnosis of Early Breast Cancer. Clinical Case;Journal of oncology: diagnostic radiology and radiotherapy;2023-06-22

5. Development and validation of a transformer-based CAD model for improving the consistency of BI-RADS category 3–5 nodule classification among radiologists: a multiple center study;Quantitative Imaging in Medicine and Surgery;2023-06