A dedicated BI-RADS training programme: Effect on the inter-observer variation among screening radiologists-Reference-Cited by-同舟云学术

A dedicated BI-RADS training programme: Effect on the inter-observer variation among screening radiologists

Published:2012-09 Issue:9 Volume:81 Page:2184-2188
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Timmers J.M.H.,van Doorne-Nagtegaal H.J.,Verbeek A.L.M.,den Heeten G.J.,Broeders M.J.M.

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference26 articles.

1. National Evaluation Team for Breast cancer screening. National evaluation of breast cancer screening in the Netherlands, 1990–2007. XII. 1-12-2009. Rotterdam, NETB.

2. International comparison of performance measures for screening mammography: can it be done?;Yankaskas;J Med Screen,2004

3. National Expert and Training Centre for Breast Cancer Screening. National Expert and Training Centre for Breast Cancer Screening. Available from: www.lrcb.nl. (accessed 13.1.11).

4. American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS).;American College of Radiology,2003

5. ACR Practice Guideline for the Performance of Screening and Diagnostic Mammography;American College of Radiology,2008

Cited by 35 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. Enhancing breast cancer detection in PTEN Hamartoma Tumor Syndrome through insights into MRI and mammography lesion features;2024-03-05

2. Detecting the Regions-of-Interest that Enclose the Tumors in Breast Ultrasound Images Using the RetinaNet Model;2023 10th International Conference on Electrical and Electronics Engineering (ICEEE);2023-05-08

3. Mammographic calcifications undergoing percutaneous biopsy: outcome in women with and without a personal history of breast cancer;La radiologia medica;2023-01-04

4. Contextual Features and Information Bottleneck-Based Multi-Input Network for Breast Cancer Classification from Contrast-Enhanced Spectral Mammography;Diagnostics;2022-12-12

5. Small lesion classification on abbreviated breast MRI: training can improve diagnostic performance and inter-reader agreement;European Radiology;2022-02-25