False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)

Introduction: Interpretation of mammogram is a challenging task and the performance level of readers is known to vary widely between general radiologist and breast imaging experts. R2-CAD is a software-based system to identify regions of the mammogram with suspicious features and to draw the reader’...

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Main Authors:	Hassan, Radhiana, Samad Cheung, Humairah, Abdul Rashid, Mohd Amran, Che Mohamed, Siti Kamariah, Y, Fitrina Yusrin
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	R Medicine (General) RC Internal medicine
Online Access:	http://irep.iium.edu.my/2138/ http://irep.iium.edu.my/2138/ http://irep.iium.edu.my/2138/1/2009_ABDA_R2CAD_STUDY.pdf

id	iium-2138
recordtype	eprints
spelling	iium-21382011-10-06T00:58:36Z http://irep.iium.edu.my/2138/ False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM) Hassan, Radhiana Samad Cheung, Humairah Abdul Rashid, Mohd Amran Che Mohamed, Siti Kamariah Y, Fitrina Yusrin R Medicine (General) RC Internal medicine Introduction: Interpretation of mammogram is a challenging task and the performance level of readers is known to vary widely between general radiologist and breast imaging experts. R2-CAD is a software-based system to identify regions of the mammogram with suspicious features and to draw the reader’s attention to these areas and decide whether they are genuinely abnormal. It has been available for several years with FDA Approval and was recently brought to our centre with the use of FFDM. Method: This is a retrospective study of cases from January 2008 until May 2008. We collected all 191 cases of mammogram with R2-CAD highlighted lesion during this period. The images were traced and reviewed. The CAD-prompt lesion was documented and correlation with supplementary imaging, FNAC or biopsy was done to conclude the CAD-prompt lesion. Result: R2-CAD highlighted calcification in 41 patients (21.5%), lump in 122 patients (63.9%) and both calcification and lump in 28 patients (14.7%). The R2-CAD detected malignant lesions in 13 patients (6.8%), benign lesions in 67 patients (35.1%) and normal breast tissue (false positive) in 111 patients (58.1%) Conclusion: R2-CAD has a high false positive rate and low detection rate for malignant lesions. As such, it should be used as an aid not the first line mammographic interpretation. 2009 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/2138/1/2009_ABDA_R2CAD_STUDY.pdf Hassan, Radhiana and Samad Cheung, Humairah and Abdul Rashid, Mohd Amran and Che Mohamed, Siti Kamariah and Y, Fitrina Yusrin (2009) False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM). In: 7th Asian Breast Disease Association (ABDA) Teaching Course and Workshop, 31 October - 2 November 2009, Kuantan, Pahang, Malaysia. (Unpublished) http://www.abda-breast.org/TC-Kuantan2009.html
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) RC Internal medicine
spellingShingle	R Medicine (General) RC Internal medicine Hassan, Radhiana Samad Cheung, Humairah Abdul Rashid, Mohd Amran Che Mohamed, Siti Kamariah Y, Fitrina Yusrin False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
description	Introduction: Interpretation of mammogram is a challenging task and the performance level of readers is known to vary widely between general radiologist and breast imaging experts. R2-CAD is a software-based system to identify regions of the mammogram with suspicious features and to draw the reader’s attention to these areas and decide whether they are genuinely abnormal. It has been available for several years with FDA Approval and was recently brought to our centre with the use of FFDM. Method: This is a retrospective study of cases from January 2008 until May 2008. We collected all 191 cases of mammogram with R2-CAD highlighted lesion during this period. The images were traced and reviewed. The CAD-prompt lesion was documented and correlation with supplementary imaging, FNAC or biopsy was done to conclude the CAD-prompt lesion. Result: R2-CAD highlighted calcification in 41 patients (21.5%), lump in 122 patients (63.9%) and both calcification and lump in 28 patients (14.7%). The R2-CAD detected malignant lesions in 13 patients (6.8%), benign lesions in 67 patients (35.1%) and normal breast tissue (false positive) in 111 patients (58.1%) Conclusion: R2-CAD has a high false positive rate and low detection rate for malignant lesions. As such, it should be used as an aid not the first line mammographic interpretation.
format	Conference or Workshop Item
author	Hassan, Radhiana Samad Cheung, Humairah Abdul Rashid, Mohd Amran Che Mohamed, Siti Kamariah Y, Fitrina Yusrin
author_facet	Hassan, Radhiana Samad Cheung, Humairah Abdul Rashid, Mohd Amran Che Mohamed, Siti Kamariah Y, Fitrina Yusrin
author_sort	Hassan, Radhiana
title	False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
title_short	False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
title_full	False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
title_fullStr	False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
title_full_unstemmed	False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)
title_sort	false positive detection rate of r2-cad in evaluation of breast lesions at full-field-digital mammogram (ffdm)
publishDate	2009
url	http://irep.iium.edu.my/2138/ http://irep.iium.edu.my/2138/ http://irep.iium.edu.my/2138/1/2009_ABDA_R2CAD_STUDY.pdf
first_indexed	2023-09-18T20:09:40Z
last_indexed	2023-09-18T20:09:40Z
_version_	1777407392628080640

False positive detection rate of R2-CAD in evaluation of breast lesions at Full-Field-Digital Mammogram (FFDM)

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