» Articles » PMID: 22011830

Quantification of the UK 5-point Breast Imaging Classification and Mapping to BI-RADS to Facilitate Comparison with International Literature

Overview
Journal Br J Radiol
Specialty Radiology
Date 2011 Oct 21
PMID 22011830
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: The UK 5-point breast imaging scoring system, recently formalised by the Royal College of Radiologists Breast Group, does not specify the likelihood of malignancy in each category. The breast imaging and reporting data system (BI-RADS) is widely used throughout North America and much of Europe. The main purpose of this study is to quantify the cancer likelihood of each of the UK 5-point categories and map them to comparable BI-RADS categories to facilitate comparison with North American and European literature and publication of UK research abroad.

Methods: During the 8 year study period, mammogram and ultrasound results were UK scored and the percentage of cancer outcomes within each group calculated. These were then compared with the percentage incidence of the BI-RADS categories.

Results: Of 23 741 separate assessment episodes, 15 288 mammograms and 10 642 ultrasound examinations were evaluated. There was a direct correlation between UK scoring and BI-RADS for categories 1 and 5. UK Score 2 lipomas and simple cysts correlated with BI-RADS 2, with the remaining UK Score 2 lesions (mostly fibroadenomas) assigned to BI-RADS 3. BI-RADS 4 incorporates a wide range of cancer risk (2-95%) with subdivisions a, b and c indicating increasing, but unspecified, likelihood of malignancy. UK Score 3 correlated with BI-RADS 4 a/b and UK Score 4 corresponded with BI-RADS 4c.

Conclusion: This study quantifies the cancer likelihood of the UK scoring and maps them to parallel BI-RADS categories, with equivalent cancer risks. This facilitates the ability to share UK research data and clinical practice on an international scale.

Citing Articles

Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI (FAST MRI) through interpretation-training: a multicentre e-learning study, mapping the learning curve of NHS Breast Screening Programme (NHSBSP) mammogram readers using....

Jones L, Marshall A, Geach R, Elangovan P, OFlynn E, Timlin T Breast Cancer Res. 2024; 26(1):85.

PMID: 38807211 PMC: 11134713. DOI: 10.1186/s13058-024-01846-1.


Development and Validation of a Nomogram for Predicting Breast Malignancy in Male Patients Based on Clinical and Ultrasound Features.

Dong W, Wu G, Zhao N, Zhang J Curr Radiopharm. 2024; 17(3):266-275.

PMID: 38288830 DOI: 10.2174/0118744710274400231219060149.


[Breast Imaging Reporting and Data System (BI-RADS): Advantages and Limitations].

Choi J J Korean Soc Radiol. 2023; 84(1):3-14.

PMID: 36818717 PMC: 9935970. DOI: 10.3348/jksr.2022.0142.


Evaluating the effectiveness of abbreviated breast MRI (abMRI) interpretation training for mammogram readers: a multi-centre study assessing diagnostic performance, using an enriched dataset.

Jones L, Marshall A, Elangovan P, Geach R, McKeown-Keegan S, Vinnicombe S Breast Cancer Res. 2022; 24(1):55.

PMID: 35907862 PMC: 9338668. DOI: 10.1186/s13058-022-01549-5.


Evaluation of the Clinical and Imaging Findings of Breast Examinations in a Tertiary Facility in Ghana.

Edzie E, Dzefi-Tettey K, Gorleku P, Amankwa A, Aidoo E, Agyen-Mensah K Int J Breast Cancer. 2021; 2021:5541230.

PMID: 34336291 PMC: 8315890. DOI: 10.1155/2021/5541230.


References
1.
Berg W, Campassi C, Langenberg P, Sexton M . Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment. AJR Am J Roentgenol. 2000; 174(6):1769-77. DOI: 10.2214/ajr.174.6.1741769. View

2.
Hofvind S, Geller B, Rosenberg R, Skaane P . Screening-detected breast cancers: discordant independent double reading in a population-based screening program. Radiology. 2009; 253(3):652-60. DOI: 10.1148/radiol.2533090210. View

3.
. Guidelines for the management of symptomatic breast disease. Eur J Surg Oncol. 2005; 31 Suppl 1:1-21. DOI: 10.1016/j.ejso.2005.02.006. View

4.
Maxwell A, Ridley N, Rubin G, Wallis M, Gilbert F, Michell M . The Royal College of Radiologists Breast Group breast imaging classification. Clin Radiol. 2009; 64(6):624-7. DOI: 10.1016/j.crad.2009.01.010. View

5.
Zonderland H, Pope Jr T, Nieborg A . The positive predictive value of the breast imaging reporting and data system (BI-RADS) as a method of quality assessment in breast imaging in a hospital population. Eur Radiol. 2004; 14(10):1743-50. DOI: 10.1007/s00330-004-2373-6. View