Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass

Elizabeth O. Donovan; Jamie Sargeant; Elaine Harkness; Julie Morris; Mary Wilson; Yit Lim; Paula Stavrinos; Anthony Howell; D. Gareth Evans; Caroline Boggis; Susan Astley

Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass

Elizabeth O. Donovan, Jamie Sargeant, Elaine Harkness, Julie Morris, Mary Wilson, Yit Lim, Paula Stavrinos, Anthony Howell, D. Gareth Evans, Caroline Boggis, Susan Astley

University Hospital of South Manchester NHS Foundation Trust

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

Abstract

Body Mass Index (BMI) is an important confounding factor for breast density assessment, particularly where a relative measure (percentage density) is used. Since height and weight are not routinely collected at screening, we investigated the relationship between breast and fat volumes computed by QuantraTM and VolparaTM and weight/BMI in 6898 women for whom self-reported values are available. A significant positive correlation was found between breast volume and fat volume with both weight and BMI. BMI and VolparaTM average fat volume showed the strongest positive relationship (r = 0.728, p

Original language	English
Title of host publication	Breast Imaging: Lecture Notes in Computer Science 8539
Editors	Hiroshi Fujita, T Hara, C Muramatsu
Place of Publication	Switzerland
Publisher	Springer Nature
Pages	282-289
Number of pages	8
Publication status	Published - 2014
Event	Breast Imaging - Gifu, Japan Duration: 1 Jan 1824 → …

Conference

Conference	Breast Imaging
City	Gifu, Japan
Period	1/01/24 → …

Keywords

BMI
Weight
Breast Volume
Mammography

Cite this

Donovan, E. O., Sargeant, J., Harkness, E., Morris, J., Wilson, M., Lim, Y., Stavrinos, P., Howell, A., Evans, D. G., Boggis, C., & Astley, S. (2014). Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass. In H. Fujita, T. Hara, & C. Muramatsu (Eds.), Breast Imaging: Lecture Notes in Computer Science 8539 (pp. 282-289). Springer Nature.

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title = "Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass",

abstract = "Body Mass Index (BMI) is an important confounding factor for breast density assessment, particularly where a relative measure (percentage density) is used. Since height and weight are not routinely collected at screening, we investigated the relationship between breast and fat volumes computed by QuantraTM and VolparaTM and weight/BMI in 6898 women for whom self-reported values are available. A significant positive correlation was found between breast volume and fat volume with both weight and BMI. BMI and VolparaTM average fat volume showed the strongest positive relationship (r = 0.728, p",

keywords = "BMI, Weight, Breast Volume, Mammography",

author = "Donovan, {Elizabeth O.} and Jamie Sargeant and Elaine Harkness and Julie Morris and Mary Wilson and Yit Lim and Paula Stavrinos and Anthony Howell and Evans, {D. Gareth} and Caroline Boggis and Susan Astley",

year = "2014",

language = "English",

pages = "282--289",

editor = "Hiroshi Fujita and T Hara and C Muramatsu",

booktitle = "Breast Imaging: Lecture Notes in Computer Science 8539",

publisher = "Springer Nature",

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note = "Breast Imaging ; Conference date: 01-01-1824",

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Donovan, EO, Sargeant, J , Harkness, E, Morris, J, Wilson, M, Lim, Y, Stavrinos, P, Howell, A, Evans, DG, Boggis, C & Astley, S 2014, Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass. in H Fujita, T Hara & C Muramatsu (eds), Breast Imaging: Lecture Notes in Computer Science 8539. Springer Nature, Switzerland, pp. 282-289, Breast Imaging, Gifu, Japan, 1/01/24.

Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass. / Donovan, Elizabeth O.; Sargeant, Jamie ; Harkness, Elaine et al.
Breast Imaging: Lecture Notes in Computer Science 8539. ed. / Hiroshi Fujita; T Hara; C Muramatsu. Switzerland: Springer Nature, 2014. p. 282-289.

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

TY - GEN

T1 - Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass

AU - Donovan, Elizabeth O.

AU - Sargeant, Jamie

AU - Harkness, Elaine

AU - Morris, Julie

AU - Wilson, Mary

AU - Lim, Yit

AU - Stavrinos, Paula

AU - Howell, Anthony

AU - Evans, D. Gareth

AU - Boggis, Caroline

AU - Astley, Susan

PY - 2014

Y1 - 2014

N2 - Body Mass Index (BMI) is an important confounding factor for breast density assessment, particularly where a relative measure (percentage density) is used. Since height and weight are not routinely collected at screening, we investigated the relationship between breast and fat volumes computed by QuantraTM and VolparaTM and weight/BMI in 6898 women for whom self-reported values are available. A significant positive correlation was found between breast volume and fat volume with both weight and BMI. BMI and VolparaTM average fat volume showed the strongest positive relationship (r = 0.728, p

AB - Body Mass Index (BMI) is an important confounding factor for breast density assessment, particularly where a relative measure (percentage density) is used. Since height and weight are not routinely collected at screening, we investigated the relationship between breast and fat volumes computed by QuantraTM and VolparaTM and weight/BMI in 6898 women for whom self-reported values are available. A significant positive correlation was found between breast volume and fat volume with both weight and BMI. BMI and VolparaTM average fat volume showed the strongest positive relationship (r = 0.728, p

KW - BMI

KW - Weight

KW - Breast Volume

KW - Mammography

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BT - Breast Imaging: Lecture Notes in Computer Science 8539

A2 - Fujita, Hiroshi

A2 - Hara, T

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CY - Switzerland

T2 - Breast Imaging

Y2 - 1 January 1824

ER -

Use of Volumetric Breast Density Measures for the Prediction of Weight and Body Mass

Abstract

Conference

Keywords

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