Reproducibility of mammographic parenchymal patterns and Breast Density on Full-Field Digital Mammography (FFDM): comparison of the two classification systems
Objective: The aim of the study is to compare inter-observer agreement between general radiologists in the classification of mammographic breast density using TABAR’s pattern and BI-RADS classification from two-view Full-Field Digital Mammography (FFDM). Methods: A data set of 400 mammograms was...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Medicine, International Islamic University Malaysia
2015
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/39216/ http://irep.iium.edu.my/39216/ http://irep.iium.edu.my/39216/1/39216.pdf |
id |
iium-39216 |
---|---|
recordtype |
eprints |
spelling |
iium-392162018-06-12T03:20:39Z http://irep.iium.edu.my/39216/ Reproducibility of mammographic parenchymal patterns and Breast Density on Full-Field Digital Mammography (FFDM): comparison of the two classification systems Hassan, Radhiana Ab Rahman, Jamalludin Zaini, Izwan Zanni Abdulateef, Reem Mohammed Saeed R Medicine (General) Objective: The aim of the study is to compare inter-observer agreement between general radiologists in the classification of mammographic breast density using TABAR’s pattern and BI-RADS classification from two-view Full-Field Digital Mammography (FFDM). Methods: A data set of 400 mammograms was evaluated by three general radiologists. The radiologists independently reviewed the images and classified the parenchymal pattern according to BI-RADS and TABAR classification systems. Inter-observer agreements were analyzed using kappa statistics. Results: Inter-observer agreement for the BI-RADS is slight to fair (Reviewer 1 versus Reviewer 2: k=0.19, Reviewer 1 versus Reviewer 3, k=0.07 and Reviewer 2 versus Reviewer 3, k=0.49) and for TABAR is fair to moderate (Reviewer 1 versus Reviewer 2: k=0.23, Reviewer 1 versus Reviewer 3, k=0.31 and Reviewer 2 versus Reviewer 3, k=0.50). Conclusion: Our study demonstrates a poor level of agreement in breast parenchymal pattern and density based on both BI-RADS and TABAR classifications. Thus, breast density in risk stratification of breast cancer should be used with caution in our local practice. Faculty of Medicine, International Islamic University Malaysia 2015-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/39216/1/39216.pdf Hassan, Radhiana and Ab Rahman, Jamalludin and Zaini, Izwan Zanni and Abdulateef, Reem Mohammed Saeed (2015) Reproducibility of mammographic parenchymal patterns and Breast Density on Full-Field Digital Mammography (FFDM): comparison of the two classification systems. International Medical Journal Malaysia, 14 (supp.1). p. 4. ISSN 1823-4631 http://iiumedic.net/imjm/v1/download/volume_14_supplement/IMJM-Vol-14-Supp-p04-Radhiana-Binti-Hassan.pdf |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
R Medicine (General) |
spellingShingle |
R Medicine (General) Hassan, Radhiana Ab Rahman, Jamalludin Zaini, Izwan Zanni Abdulateef, Reem Mohammed Saeed Reproducibility of mammographic parenchymal patterns and Breast Density on Full-Field Digital Mammography (FFDM): comparison of the two classification systems |
description |
Objective: The aim of the study is to compare inter-observer agreement between general radiologists in the classification
of mammographic breast density using TABAR’s pattern and BI-RADS classification from two-view Full-Field Digital
Mammography (FFDM).
Methods: A data set of 400 mammograms was evaluated by three general radiologists. The radiologists independently
reviewed the images and classified the parenchymal pattern according to BI-RADS and TABAR classification systems.
Inter-observer agreements were analyzed using kappa statistics.
Results: Inter-observer agreement for the BI-RADS is slight to fair (Reviewer 1 versus Reviewer 2: k=0.19, Reviewer
1 versus Reviewer 3, k=0.07 and Reviewer 2 versus Reviewer 3, k=0.49) and for TABAR is fair to moderate (Reviewer
1 versus Reviewer 2: k=0.23, Reviewer 1 versus Reviewer 3, k=0.31 and Reviewer 2 versus Reviewer 3, k=0.50).
Conclusion: Our study demonstrates a poor level of agreement in breast parenchymal pattern and density based on both
BI-RADS and TABAR classifications. Thus, breast density in risk stratification of breast cancer should be used with
caution in our local practice. |
format |
Article |
author |
Hassan, Radhiana Ab Rahman, Jamalludin Zaini, Izwan Zanni Abdulateef, Reem Mohammed Saeed |
author_facet |
Hassan, Radhiana Ab Rahman, Jamalludin Zaini, Izwan Zanni Abdulateef, Reem Mohammed Saeed |
author_sort |
Hassan, Radhiana |
title |
Reproducibility of mammographic parenchymal patterns and
Breast Density on Full-Field Digital Mammography (FFDM):
comparison of the two classification systems |
title_short |
Reproducibility of mammographic parenchymal patterns and
Breast Density on Full-Field Digital Mammography (FFDM):
comparison of the two classification systems |
title_full |
Reproducibility of mammographic parenchymal patterns and
Breast Density on Full-Field Digital Mammography (FFDM):
comparison of the two classification systems |
title_fullStr |
Reproducibility of mammographic parenchymal patterns and
Breast Density on Full-Field Digital Mammography (FFDM):
comparison of the two classification systems |
title_full_unstemmed |
Reproducibility of mammographic parenchymal patterns and
Breast Density on Full-Field Digital Mammography (FFDM):
comparison of the two classification systems |
title_sort |
reproducibility of mammographic parenchymal patterns and
breast density on full-field digital mammography (ffdm):
comparison of the two classification systems |
publisher |
Faculty of Medicine, International Islamic University Malaysia |
publishDate |
2015 |
url |
http://irep.iium.edu.my/39216/ http://irep.iium.edu.my/39216/ http://irep.iium.edu.my/39216/1/39216.pdf |
first_indexed |
2023-09-18T20:56:19Z |
last_indexed |
2023-09-18T20:56:19Z |
_version_ |
1777410327579721728 |