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Mammographic features differ with body composition in women with breast cancer

Sartor, Hanna LU ; Sturesdotter, Li LU orcid ; Larsson, Anna Maria LU ; Rosendahl, Ann H. LU and Zackrisson, Sophia LU (2024) In European Radiology 35(1). p.151-159
Abstract

Objectives: There are several breast cancer (BC) risk factors—many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image. Materials and methods: The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and... (More)

Objectives: There are several breast cancer (BC) risk factors—many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image. Materials and methods: The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and mode of detection). We investigated associations between anthropometric measures and mammographic features via logistic regression analyses, yielding odds ratios (OR) with 95% confidence intervals (CI). Results: There was an association between high body mass index (BMI) (≥ 30) at baseline and spiculated tumor appearance (OR 1.370 (95% CI: 0.941–2.010)), primarily in women with clinically detected cancers (OR 2.240 (95% CI: 1.280–3.940)), and in postmenopausal women (OR 1.580 (95% CI: 1.030–2.440)). Furthermore, an inverse association between high BMI (≥ 30) and high breast density (OR 0.270 (95% CI: 0.166–0.438)) was found. Conclusion: This study demonstrated an association between obesity and a spiculated mass on mammography—especially in women with clinically detected cancers and in postmenopausal women. These findings offer insights on the relationship between risk factors in healthy women and related mammographic features in subsequent BC. Clinical relevance statement: With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight. Key Points: Women with obesity and BC may present with certain mammographic features. Spiculated masses were more common in women with obesity, especially postmenopausal women, and those with clinically detected BCs. Insights on the relationship between obesity and related mammographic features will aid mammographic interpretation.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Anthropometry, Breast, Breast density, Cancer, Mammography
in
European Radiology
volume
35
issue
1
pages
9 pages
publisher
Springer
external identifiers
  • scopus:85198397965
  • pmid:38992111
ISSN
0938-7994
DOI
10.1007/s00330-024-10937-8
language
English
LU publication?
yes
id
04a9fefa-7509-4f04-80ac-50c584bb140a
date added to LUP
2024-11-27 15:19:47
date last changed
2025-06-12 07:06:11
@article{04a9fefa-7509-4f04-80ac-50c584bb140a,
  abstract     = {{<p>Objectives: There are several breast cancer (BC) risk factors—many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image. Materials and methods: The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and mode of detection). We investigated associations between anthropometric measures and mammographic features via logistic regression analyses, yielding odds ratios (OR) with 95% confidence intervals (CI). Results: There was an association between high body mass index (BMI) (≥ 30) at baseline and spiculated tumor appearance (OR 1.370 (95% CI: 0.941–2.010)), primarily in women with clinically detected cancers (OR 2.240 (95% CI: 1.280–3.940)), and in postmenopausal women (OR 1.580 (95% CI: 1.030–2.440)). Furthermore, an inverse association between high BMI (≥ 30) and high breast density (OR 0.270 (95% CI: 0.166–0.438)) was found. Conclusion: This study demonstrated an association between obesity and a spiculated mass on mammography—especially in women with clinically detected cancers and in postmenopausal women. These findings offer insights on the relationship between risk factors in healthy women and related mammographic features in subsequent BC. Clinical relevance statement: With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight. Key Points: Women with obesity and BC may present with certain mammographic features. Spiculated masses were more common in women with obesity, especially postmenopausal women, and those with clinically detected BCs. Insights on the relationship between obesity and related mammographic features will aid mammographic interpretation.</p>}},
  author       = {{Sartor, Hanna and Sturesdotter, Li and Larsson, Anna Maria and Rosendahl, Ann H. and Zackrisson, Sophia}},
  issn         = {{0938-7994}},
  keywords     = {{Anthropometry; Breast; Breast density; Cancer; Mammography}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{151--159}},
  publisher    = {{Springer}},
  series       = {{European Radiology}},
  title        = {{Mammographic features differ with body composition in women with breast cancer}},
  url          = {{http://dx.doi.org/10.1007/s00330-024-10937-8}},
  doi          = {{10.1007/s00330-024-10937-8}},
  volume       = {{35}},
  year         = {{2024}},
}