Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study

Jamie C. Sergeant; Jane Warwick; Gareth Evans; Anthony Howell; Michael Berks; Paula Stavrinos; Sarah Sahin; Mary Wilson; Alan Hufton; Iain Buchan; Susan M. Astley

doi:10.1007/978-3-642-31271-7_30

Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study

Jamie C. Sergeant, Jane Warwick, Gareth Evans, Anthony Howell, Michael Berks, Paula Stavrinos, Sarah Sahin, Mary Wilson, Alan Hufton, Iain Buchan, Susan M. Astley

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Mammographic density, defined as the proportion of the breast area in a mammogram that contains fibroglandular tissue, is associated with risk of breast cancer. However, measures of mammographic density are subject to variation in the underlying imaging process and in the assessments of observers. Automatic volumetric measures of breast density remove much of this variability, but their association with risk is less well established. We present density measurements produced using area-based visual analogue scales (VAS) and by volumetric assessment software (Quantra TM, Hologic Inc.) in the PROCAS study. The distributions of VAS scores (n = 22 327) and volumetric quantities (n = 11 653) are given, as are their relationships for subjects with results by both (n = 11 096), but these are not directly comparable as one is area-based and the other volumetric. Inter-observer variability in visual area-based estimation is examined by a scatter plot matrix. © 2012 Springer-Verlag Berlin Heidelberg.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	228-235
Number of pages	7
Volume	7361
ISBN (Print)	9783642312700
DOIs	https://doi.org/10.1007/978-3-642-31271-7_30
Publication status	Published - 2012
Event	11th International Workshop on Breast Imaging, IWDM 2012 - Philadelphia, PA Duration: 1 Jul 2012 → …

Conference

Conference	11th International Workshop on Breast Imaging, IWDM 2012
City	Philadelphia, PA
Period	1/07/12 → …

Keywords

area-based measures
Breast density
interobserver variation
Quantra
volumetric measures

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-31271-7_30

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Sergeant, J. C., Warwick, J., Evans, G., Howell, A., Berks, M., Stavrinos, P., Sahin, S., Wilson, M., Hufton, A., Buchan, I., & Astley, S. M. (2012). Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 7361, pp. 228-235). Springer Nature. https://doi.org/10.1007/978-3-642-31271-7_30

Sergeant, Jamie C. ; Warwick, Jane ; Evans, Gareth et al. / Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7361 Springer Nature, 2012. pp. 228-235

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abstract = "Mammographic density, defined as the proportion of the breast area in a mammogram that contains fibroglandular tissue, is associated with risk of breast cancer. However, measures of mammographic density are subject to variation in the underlying imaging process and in the assessments of observers. Automatic volumetric measures of breast density remove much of this variability, but their association with risk is less well established. We present density measurements produced using area-based visual analogue scales (VAS) and by volumetric assessment software (Quantra TM, Hologic Inc.) in the PROCAS study. The distributions of VAS scores (n = 22 327) and volumetric quantities (n = 11 653) are given, as are their relationships for subjects with results by both (n = 11 096), but these are not directly comparable as one is area-based and the other volumetric. Inter-observer variability in visual area-based estimation is examined by a scatter plot matrix. {\textcopyright} 2012 Springer-Verlag Berlin Heidelberg.",

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Sergeant, JC, Warwick, J, Evans, G , Howell, A, Berks, M, Stavrinos, P, Sahin, S, Wilson, M, Hufton, A, Buchan, I & Astley, SM 2012, Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 7361, Springer Nature, pp. 228-235, 11th International Workshop on Breast Imaging, IWDM 2012, Philadelphia, PA, 1/07/12. https://doi.org/10.1007/978-3-642-31271-7_30

Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study. / Sergeant, Jamie C.; Warwick, Jane; Evans, Gareth et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7361 Springer Nature, 2012. p. 228-235.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Astley, Susan M.

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N2 - Mammographic density, defined as the proportion of the breast area in a mammogram that contains fibroglandular tissue, is associated with risk of breast cancer. However, measures of mammographic density are subject to variation in the underlying imaging process and in the assessments of observers. Automatic volumetric measures of breast density remove much of this variability, but their association with risk is less well established. We present density measurements produced using area-based visual analogue scales (VAS) and by volumetric assessment software (Quantra TM, Hologic Inc.) in the PROCAS study. The distributions of VAS scores (n = 22 327) and volumetric quantities (n = 11 653) are given, as are their relationships for subjects with results by both (n = 11 096), but these are not directly comparable as one is area-based and the other volumetric. Inter-observer variability in visual area-based estimation is examined by a scatter plot matrix. © 2012 Springer-Verlag Berlin Heidelberg.

AB - Mammographic density, defined as the proportion of the breast area in a mammogram that contains fibroglandular tissue, is associated with risk of breast cancer. However, measures of mammographic density are subject to variation in the underlying imaging process and in the assessments of observers. Automatic volumetric measures of breast density remove much of this variability, but their association with risk is less well established. We present density measurements produced using area-based visual analogue scales (VAS) and by volumetric assessment software (Quantra TM, Hologic Inc.) in the PROCAS study. The distributions of VAS scores (n = 22 327) and volumetric quantities (n = 11 653) are given, as are their relationships for subjects with results by both (n = 11 096), but these are not directly comparable as one is area-based and the other volumetric. Inter-observer variability in visual area-based estimation is examined by a scatter plot matrix. © 2012 Springer-Verlag Berlin Heidelberg.

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ER -

Sergeant JC, Warwick J, Evans G , Howell A, Berks M, Stavrinos P et al. Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 7361. Springer Nature. 2012. p. 228-235 doi: 10.1007/978-3-642-31271-7_30

Volumetric and area-based breast density measurement in the predicting risk of cancer at screening (PROCAS) study

Abstract

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Keywords

UN SDGs

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