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Mammographic density by time and breast: a retrospective cohort study from BreastScreen Norway
by
Backmann, Heinrich A.
, Moshina, Nataliia
, Gjesvik, Jonas
, Hovda, Tone
, Koch, Henrik W.
, Hofvind, Solveig
in
Aged
/ Artificial intelligence
/ Automation
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Breast
/ Breast - diagnostic imaging
/ Breast - pathology
/ Breast cancer
/ Breast Density
/ Breast Neoplasms - diagnosis
/ Breast Neoplasms - diagnostic imaging
/ Breast Neoplasms - epidemiology
/ Breast Neoplasms - pathology
/ Cancer
/ Cancer Research
/ Diagnosis
/ Early Detection of Cancer - methods
/ Female
/ Health aspects
/ Humans
/ Mammography
/ Mammography - methods
/ Mass Screening
/ Medical screening
/ Middle Aged
/ Norway - epidemiology
/ Oncology
/ Oncology, Experimental
/ Physiological aspects
/ Post-menopause
/ Questionnaires
/ Retrospective Studies
/ Risk
/ Risk factors
/ Screening
/ Surgical Oncology
/ Testing
/ Time Factors
/ Tumors
/ Womens health
2025
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Mammographic density by time and breast: a retrospective cohort study from BreastScreen Norway
by
Backmann, Heinrich A.
, Moshina, Nataliia
, Gjesvik, Jonas
, Hovda, Tone
, Koch, Henrik W.
, Hofvind, Solveig
in
Aged
/ Artificial intelligence
/ Automation
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Breast
/ Breast - diagnostic imaging
/ Breast - pathology
/ Breast cancer
/ Breast Density
/ Breast Neoplasms - diagnosis
/ Breast Neoplasms - diagnostic imaging
/ Breast Neoplasms - epidemiology
/ Breast Neoplasms - pathology
/ Cancer
/ Cancer Research
/ Diagnosis
/ Early Detection of Cancer - methods
/ Female
/ Health aspects
/ Humans
/ Mammography
/ Mammography - methods
/ Mass Screening
/ Medical screening
/ Middle Aged
/ Norway - epidemiology
/ Oncology
/ Oncology, Experimental
/ Physiological aspects
/ Post-menopause
/ Questionnaires
/ Retrospective Studies
/ Risk
/ Risk factors
/ Screening
/ Surgical Oncology
/ Testing
/ Time Factors
/ Tumors
/ Womens health
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Mammographic density by time and breast: a retrospective cohort study from BreastScreen Norway
by
Backmann, Heinrich A.
, Moshina, Nataliia
, Gjesvik, Jonas
, Hovda, Tone
, Koch, Henrik W.
, Hofvind, Solveig
in
Aged
/ Artificial intelligence
/ Automation
/ Biomedical and Life Sciences
/ Biomedicine
/ Body mass index
/ Breast
/ Breast - diagnostic imaging
/ Breast - pathology
/ Breast cancer
/ Breast Density
/ Breast Neoplasms - diagnosis
/ Breast Neoplasms - diagnostic imaging
/ Breast Neoplasms - epidemiology
/ Breast Neoplasms - pathology
/ Cancer
/ Cancer Research
/ Diagnosis
/ Early Detection of Cancer - methods
/ Female
/ Health aspects
/ Humans
/ Mammography
/ Mammography - methods
/ Mass Screening
/ Medical screening
/ Middle Aged
/ Norway - epidemiology
/ Oncology
/ Oncology, Experimental
/ Physiological aspects
/ Post-menopause
/ Questionnaires
/ Retrospective Studies
/ Risk
/ Risk factors
/ Screening
/ Surgical Oncology
/ Testing
/ Time Factors
/ Tumors
/ Womens health
2025
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Mammographic density by time and breast: a retrospective cohort study from BreastScreen Norway
Journal Article
Mammographic density by time and breast: a retrospective cohort study from BreastScreen Norway
2025
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Overview
Background
Mammographic density is known to decrease over time in postmenopausal women. Longitudinal changes in mammographic density prior to breast cancer diagnosis have been widely discussed and less density reduction has been observed for breast developing versus not developing cancer. We aimed to verify these findings among participants of BreastScreen Norway.
Methods
In this retrospective cohort study, data from 78,182 women aged 50–69 years who attended three consecutive screening rounds between 2007 and 2020 were included. Among those women, 970 were diagnosed with screen-detected and 308 with interval cancer. Mammographic density data was obtained from an automated software and included absolute (cm
3
) and percent (%) dense volume for each breast and for each woman, per examination. A linear mixed-effects regression model estimating differences in density between the breast developing and not developing cancer was applied to evaluate longitudinal changes, separately for absolute and percent dense volume. The model was adjusted for age at first screening examination, breast volume, follow-up time, history of benign breast disease, body mass index, family history, hormone therapy, use of alcohol and smoking. Results were presented as linear regression coefficient estimates with 95% confidence intervals (CI).
Results
Mean age at the third screening examination for women without breast cancer was 62.5 (standard deviation, SD: 5.1) years, while mean age at diagnosis was 62.3 (SD: 4.4) years for women with screen-detected cancer and 61.9 (SD: 4.8) years for women with interval cancer. In our model, absolute and percent dense volume decreased with follow-up time, estimate=-0.010 (95%CI -0.010; -0.009) and estimate=-0.013 (95%CI -0.014; -0.013), respectively, indicating the overall negative effect of time on mammographic density. The interaction between time and development of breast cancer was positive for absolute and percent dense volume, estimate = 0.009 (95%CI 0.004; 0.014) for both, which implied that mammographic density in breasts developing cancer was stable or slightly decreasing.
Conclusions
Less reduction in longitudinally assessed mammographic density was observed for breasts developing versus not developing cancer in our study. This difference might be used for more precise 4–6 years breast cancer risk prediction and screening personalization.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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