Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems

Purpose of Study: The aim of the study is to compare inter-observer agreement between general radiologists in classification of mammographic breast density using TABAR’s pattern and BI-RADS classification systems on Full-Field Digital Mammography (FFDM). Materials and Method A 400 data set of mam...

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Main Authors: Hassan, Radhiana, Ab Rahman, Jamalludin, Zaini, Izwan Zanni, Mohammed Saeed Abdulateef, Reem, Yahaya, Azura Sharena
Format: Proceeding Paper
Language:English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/39190/
http://irep.iium.edu.my/39190/20/radhiana.pdf
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author Hassan, Radhiana
Ab Rahman, Jamalludin
Zaini, Izwan Zanni
Mohammed Saeed Abdulateef, Reem
Yahaya, Azura Sharena
author_facet Hassan, Radhiana
Ab Rahman, Jamalludin
Zaini, Izwan Zanni
Mohammed Saeed Abdulateef, Reem
Yahaya, Azura Sharena
author_sort Hassan, Radhiana
building IIUM Repository
collection Online Access
description Purpose of Study: The aim of the study is to compare inter-observer agreement between general radiologists in classification of mammographic breast density using TABAR’s pattern and BI-RADS classification systems on Full-Field Digital Mammography (FFDM). Materials and Method A 400 data set of mammograms in mediolateral and craniocaudal views was independently evaluated by three radiologists. Breast density was classified using BI-RADS and TABAR classification systems. The three radiologists interpreting the mammogram images were general radiologists with three, four and one years’ experience respectively. There was no special coaching conducted prior to data interpretation. Results: Inter-observer agreement for the BI-RADS are slight to fair (reviewer 1 vs reviewer 2: k=0.19, reviewer 1 vs reviewer 3, k=0.07 and reviewer 2 vs reviewer 3, k=0.49) and for TABAR is fair to moderate (reviewer 1 vs reviewer 2: k=0.23, reviewer1 vs reviewer 3, k=0.31 and reviewer 2 vs reviewer 3, k=0.50). Conclusion: Our study demonstrates that the assessment and classification of the breast density is difficult with slightly better performance using TABAR classification system compared to BI-RADS classification. If breast density is to be used as part of risk predictors of breast cancer, a consistent, quantitative and observer-independent method for characterizing mammographic breast density is needed in local clinical practice.
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format Proceeding Paper
id iium-39190
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T15:54:20Z
publishDate 2014
recordtype eprints
repository_type Digital Repository
spelling iium-391902017-06-19T01:23:42Z http://irep.iium.edu.my/39190/ Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems Hassan, Radhiana Ab Rahman, Jamalludin Zaini, Izwan Zanni Mohammed Saeed Abdulateef, Reem Yahaya, Azura Sharena R Medicine (General) Purpose of Study: The aim of the study is to compare inter-observer agreement between general radiologists in classification of mammographic breast density using TABAR’s pattern and BI-RADS classification systems on Full-Field Digital Mammography (FFDM). Materials and Method A 400 data set of mammograms in mediolateral and craniocaudal views was independently evaluated by three radiologists. Breast density was classified using BI-RADS and TABAR classification systems. The three radiologists interpreting the mammogram images were general radiologists with three, four and one years’ experience respectively. There was no special coaching conducted prior to data interpretation. Results: Inter-observer agreement for the BI-RADS are slight to fair (reviewer 1 vs reviewer 2: k=0.19, reviewer 1 vs reviewer 3, k=0.07 and reviewer 2 vs reviewer 3, k=0.49) and for TABAR is fair to moderate (reviewer 1 vs reviewer 2: k=0.23, reviewer1 vs reviewer 3, k=0.31 and reviewer 2 vs reviewer 3, k=0.50). Conclusion: Our study demonstrates that the assessment and classification of the breast density is difficult with slightly better performance using TABAR classification system compared to BI-RADS classification. If breast density is to be used as part of risk predictors of breast cancer, a consistent, quantitative and observer-independent method for characterizing mammographic breast density is needed in local clinical practice. 2014-04-02 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/39190/20/radhiana.pdf Hassan, Radhiana and Ab Rahman, Jamalludin and Zaini, Izwan Zanni and Mohammed Saeed Abdulateef, Reem and Yahaya, Azura Sharena (2014) Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems. In: Malaysian Congress of Radiology (MCoR) incorporating 2014 Annual Scientific Meeting KSR-MCoR friendship symposium, 3rd-5th April 2014, Kuala Lumpur. (Unpublished)
spellingShingle R Medicine (General)
Hassan, Radhiana
Ab Rahman, Jamalludin
Zaini, Izwan Zanni
Mohammed Saeed Abdulateef, Reem
Yahaya, Azura Sharena
Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title_full Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title_fullStr Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title_full_unstemmed Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title_short Breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
title_sort breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
topic R Medicine (General)
url http://irep.iium.edu.my/39190/
http://irep.iium.edu.my/39190/20/radhiana.pdf