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:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/39190/ http://irep.iium.edu.my/39190/20/radhiana.pdf

id	iium-39190
recordtype	eprints
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 Conference or Workshop Item 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)
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 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
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.
format	Conference or Workshop Item
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
title	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_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_sort	breast density estimation on full-field-digital mammography (ffdm) by general radiologists: comparison of bi-rads and tabar classification sytems
publishDate	2014
url	http://irep.iium.edu.my/39190/ http://irep.iium.edu.my/39190/20/radhiana.pdf
first_indexed	2023-09-18T20:56:17Z
last_indexed	2023-09-18T20:56:17Z
_version_	1777410326093889536

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

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