AustralieFrV1, Main, Exploration, bibRecord, 001B55

Mammographic density and risk of breast cancer by mode of detection and tumor size: a case-control study

Identifieur interne : 001B55 ( Main/Exploration ); précédent : 001B54; suivant : 001B56

Mammographic density and risk of breast cancer by mode of detection and tumor size: a case-control study

Auteurs : Kavitha Krishnan [Australie] ; Laura Baglietto [Australie, France] ; Carmel Apicella [Australie] ; Jennifer Stone [Australie] ; Melissa C. Southey [Australie] ; Dallas R. English [Australie] ; Graham G. Giles [Australie] ; John L. Hopper [Australie, Corée du Sud]

Source :

Breast Cancer Research : BCR [ 1465-5411 ] ; 2016.

RBID : PMC:4912759

Descripteurs français

KwdFr :
- Adulte, Adulte d'âge moyen, Charge tumorale, Densité mammaire, Détection précoce de cancer, Facteurs de risque, Femelle, Humains, Incidence, Indice de masse corporelle, Mammographie (), Risque, Sujet âgé, Tumeurs du sein (anatomopathologie), Tumeurs du sein (épidémiologie), Études cas-témoins.
MESH :
- anatomopathologie : Tumeurs du sein.
- épidémiologie : Tumeurs du sein.
- Adulte, Adulte d'âge moyen, Charge tumorale, Densité mammaire, Détection précoce de cancer, Facteurs de risque, Femelle, Humains, Incidence, Indice de masse corporelle, Mammographie, Risque, Sujet âgé, Études cas-témoins.

English descriptors

KwdEn :
- Adult, Aged, Body Mass Index, Breast Density, Breast Neoplasms (epidemiology), Breast Neoplasms (pathology), Case-Control Studies, Early Detection of Cancer, Female, Humans, Incidence, Mammography (methods), Middle Aged, Risk, Risk Factors, Tumor Burden.
MESH :
- epidemiology : Breast Neoplasms.
- methods : Mammography.
- pathology : Breast Neoplasms.
- Adult, Aged, Body Mass Index, Breast Density, Case-Control Studies, Early Detection of Cancer, Female, Humans, Incidence, Middle Aged, Risk, Risk Factors, Tumor Burden.

Abstract

Background

Risk of screen-detected breast cancer mostly reflects inherent risk, while risk of interval cancer reflects inherent risk and risk of masking (risk of the tumor not being detected due to increased dense tissue). Therefore the predictors of whether a breast cancer is interval or screen-detected include those that predict masking. Our aim was to investigate the associations between mammographic measures and (1) inherent risk, and (2) masking.

Methods

We conducted a case-control study nested within the Melbourne collaborative cohort study of 244 screen-detected cases (192 small tumors (<2 cm)) matched to 700 controls and 148 interval cases (76 small tumors) matched to 446 controls. Dense area (DA), percent dense area (PDA), and non-dense area (NDA) were measured using the Cumulus software. Conditional and unconditional logistic regression were applied as appropriate to estimate the odds per adjusted standard deviation (OPERA) adjusted for age and body mass index (BMI), allowing for the association with BMI to be a function of age at diagnosis. Tests of fit were performed using the Bayesian information criterion (BIC) and the area under the receiver operating characteristic curve.

Results

For screen-detected cancer, the association with BMI had a marginally significant dependence on age at diagnosis, and after adjustment both DA and PDA were associated with risk (OPERA approximately 1.2) and gave a similar fit. NDA was not associated with risk. For interval cancer, the BMI risk association was not dependent on age at diagnosis and the best fitting model was PDA alone (OPERA = 2.24, 95 % confidence interval 1.75, 2.86). Prediction of interval versus screen-detected cancer was best achieved by PDA alone (OPERA = 1.76, 95 % confidence interval 1.39, 2.22) with no association with BMI. When the analysis was restricted to small tumors to reduce the influence of tumor growth, we obtained similar results.

Conclusions

Inherent breast cancer risk is predicted by BMI and DA or PDA, but not NDA. Masking is predicted by PDA, and not by BMI. Understanding risk and masking could help tailor mammographic screening.

Electronic supplementary material

The online version of this article (doi:10.1186/s13058-016-0722-4) contains supplementary material, which is available to authorized users.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912759

DOI: 10.1186/s13058-016-0722-4
PubMed: 27316945
PubMed Central: 4912759

Affiliations:

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term>
<term>Aged</term>
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<term>Risk</term>
<term>Risk Factors</term>
<term>Tumor Burden</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Charge tumorale</term>
<term>Densité mammaire</term>
<term>Détection précoce de cancer</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Indice de masse corporelle</term>
<term>Mammographie ()</term>
<term>Risque</term>
<term>Sujet âgé</term>
<term>Tumeurs du sein (anatomopathologie)</term>
<term>Tumeurs du sein (épidémiologie)</term>
<term>Études cas-témoins</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Tumeurs du sein</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Breast Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Mammography</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Breast Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Tumeurs du sein</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Body Mass Index</term>
<term>Breast Density</term>
<term>Case-Control Studies</term>
<term>Early Detection of Cancer</term>
<term>Female</term>
<term>Humans</term>
<term>Incidence</term>
<term>Middle Aged</term>
<term>Risk</term>
<term>Risk Factors</term>
<term>Tumor Burden</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Charge tumorale</term>
<term>Densité mammaire</term>
<term>Détection précoce de cancer</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Indice de masse corporelle</term>
<term>Mammographie</term>
<term>Risque</term>
<term>Sujet âgé</term>
<term>Études cas-témoins</term>
</keywords>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Risk of screen-detected breast cancer mostly reflects inherent risk, while risk of interval cancer reflects inherent risk and risk of masking (risk of the tumor not being detected due to increased dense tissue). Therefore the predictors of whether a breast cancer is interval or screen-detected include those that predict masking. Our aim was to investigate the associations between mammographic measures and (1) inherent risk, and (2) masking.</p>
</sec>
<sec><title>Methods</title>
<p>We conducted a case-control study nested within the Melbourne collaborative cohort study of 244 screen-detected cases (192 small tumors (<2 cm)) matched to 700 controls and 148 interval cases (76 small tumors) matched to 446 controls. Dense area (DA), percent dense area (PDA), and non-dense area (NDA) were measured using the Cumulus software. Conditional and unconditional logistic regression were applied as appropriate to estimate the odds per adjusted standard deviation (OPERA) adjusted for age and body mass index (BMI), allowing for the association with BMI to be a function of age at diagnosis. Tests of fit were performed using the Bayesian information criterion (BIC) and the area under the receiver operating characteristic curve.</p>
</sec>
<sec><title>Results</title>
<p>For screen-detected cancer, the association with BMI had a marginally significant dependence on age at diagnosis, and after adjustment both DA and PDA were associated with risk (OPERA approximately 1.2) and gave a similar fit. NDA was not associated with risk. For interval cancer, the BMI risk association was not dependent on age at diagnosis and the best fitting model was PDA alone (OPERA = 2.24, 95 % confidence interval 1.75, 2.86). Prediction of interval versus screen-detected cancer was best achieved by PDA alone (OPERA = 1.76, 95 % confidence interval 1.39, 2.22) with no association with BMI. When the analysis was restricted to small tumors to reduce the influence of tumor growth, we obtained similar results.</p>
</sec>
<sec><title>Conclusions</title>
<p>Inherent breast cancer risk is predicted by BMI and DA or PDA, but not NDA. Masking is predicted by PDA, and not by BMI. Understanding risk and masking could help tailor mammographic screening.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s13058-016-0722-4) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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</TEI>
<affiliations><list><country><li>Australie</li>
<li>Corée du Sud</li>
<li>France</li>
</country>
<region><li>Région capitale de Séoul</li>
<li>Victoria (État)</li>
</region>
<settlement><li>Melbourne</li>
<li>Séoul</li>
</settlement>
<orgName><li>Université de Melbourne</li>
<li>Université nationale de Séoul</li>
</orgName>
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<tree><country name="Australie"><region name="Victoria (État)"><name sortKey="Krishnan, Kavitha" sort="Krishnan, Kavitha" uniqKey="Krishnan K" first="Kavitha" last="Krishnan">Kavitha Krishnan</name>
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<name sortKey="Apicella, Carmel" sort="Apicella, Carmel" uniqKey="Apicella C" first="Carmel" last="Apicella">Carmel Apicella</name>
<name sortKey="Baglietto, Laura" sort="Baglietto, Laura" uniqKey="Baglietto L" first="Laura" last="Baglietto">Laura Baglietto</name>
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<name sortKey="English, Dallas R" sort="English, Dallas R" uniqKey="English D" first="Dallas R." last="English">Dallas R. English</name>
<name sortKey="English, Dallas R" sort="English, Dallas R" uniqKey="English D" first="Dallas R." last="English">Dallas R. English</name>
<name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G." last="Giles">Graham G. Giles</name>
<name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G." last="Giles">Graham G. Giles</name>
<name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G." last="Giles">Graham G. Giles</name>
<name sortKey="Hopper, John L" sort="Hopper, John L" uniqKey="Hopper J" first="John L." last="Hopper">John L. Hopper</name>
<name sortKey="Southey, Melissa C" sort="Southey, Melissa C" uniqKey="Southey M" first="Melissa C." last="Southey">Melissa C. Southey</name>
<name sortKey="Stone, Jennifer" sort="Stone, Jennifer" uniqKey="Stone J" first="Jennifer" last="Stone">Jennifer Stone</name>
<name sortKey="Stone, Jennifer" sort="Stone, Jennifer" uniqKey="Stone J" first="Jennifer" last="Stone">Jennifer Stone</name>
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<country name="France"><noRegion><name sortKey="Baglietto, Laura" sort="Baglietto, Laura" uniqKey="Baglietto L" first="Laura" last="Baglietto">Laura Baglietto</name>
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<name sortKey="Baglietto, Laura" sort="Baglietto, Laura" uniqKey="Baglietto L" first="Laura" last="Baglietto">Laura Baglietto</name>
</country>
<country name="Corée du Sud"><region name="Région capitale de Séoul"><name sortKey="Hopper, John L" sort="Hopper, John L" uniqKey="Hopper J" first="John L." last="Hopper">John L. Hopper</name>
</region>
<name sortKey="Hopper, John L" sort="Hopper, John L" uniqKey="Hopper J" first="John L." last="Hopper">John L. Hopper</name>
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Serveur d'exploration sur les relations entre la France et l'Australie

Mammographic density and risk of breast cancer by mode of detection and tumor size: a case-control study

Mammographic density and risk of breast cancer by mode of detection and tumor size: a case-control study

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