Literature DB >> 21102341

Mammographic density as a risk factor for breast cancer in a German case-control study.

Katharina Heusinger1, Christian R Loehberg, Lothar Haeberle, Sebastian M Jud, Peter Klingsiek, Alexander Hein, Christian M Bayer, Claudia Rauh, Michael Uder, Alexander Cavallaro, Matthias S May, Boris Adamietz, Ruediger Schulz-Wendtland, Thomas Wittenberg, Florian Wagner, Matthias W Beckmann, Peter A Fasching.   

Abstract

Mammographic percent density (MD) is recognized as one of the strongest risk factors associated with breast cancer. This matched case-control study investigated whether MD represents an independent risk factor. Mammograms were obtained from 1025 breast cancer patients and from 520 healthy controls. MD was measured using a quantitative computer-based threshold method (0-100%). Breast cancer patients had a higher MD than healthy controls (38 vs. 32%, P<0.01). MD was significantly higher in association with factors such as age over 60 years, body mass index (BMI) of 25-30 kg/m², nulliparity or low parity (one to two births). Average MD was inversely associated with age, BMI, parity and positively associated with age at first full-term pregnancy. MD was higher in women with at least one first-degree relative affected, but only among patients and not in the group of healthy controls (P<0.01/P=0.61). In women with an MD of 25% or more, the risk of breast cancer was doubled compared with women with an MD of less than 10% (odds ratio: 2.1; 95% confidence interval: 1.3-3.4; P<0.01); in the postmenopausal subgroup, the risk was nearly tripled (odds ratio: 2.7; 95% confidence interval: 1.6-4.7; P<0.001). This study provides further evidence that MD is an important risk factor for breast cancer. These results indicate strong associations between MD and the risk of breast cancer in a matched case-control study in Germany.

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Year:  2011        PMID: 21102341     DOI: 10.1097/CEJ.0b013e328341e2ce

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  24 in total

1.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

Review 2.  [New prognostic and predictive markers for breast cancer].

Authors:  D L Wachter
Journal:  Pathologe       Date:  2016-11       Impact factor: 1.011

3.  Risk Factors for Endometriosis in a German Case-Control Study.

Authors:  S Burghaus; P Klingsiek; P A Fasching; A Engel; L Häberle; P L Strissel; M Schmidt; K Jonas; J D Strehl; A Hartmann; J Lermann; A Boosz; F C Thiel; A Müller; M W Beckmann; S P Renner
Journal:  Geburtshilfe Frauenheilkd       Date:  2011-12       Impact factor: 2.915

4.  Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer.

Authors:  C Rauh; C C Hack; L Häberle; A Hein; A Engel; M G Schrauder; P A Fasching; S M Jud; A B Ekici; C R Loehberg; M Meier-Meitinger; S Ozan; R Schulz-Wendtland; M Uder; A Hartmann; D L Wachter; M W Beckmann; K Heusinger
Journal:  Geburtshilfe Frauenheilkd       Date:  2012-08       Impact factor: 2.915

Review 5.  Mammographic density is not a worthwhile examination to distinguish high cancer risk women in screening.

Authors:  Catherine Colin; Anne-Marie Schott; Pierre-Jean Valette
Journal:  Eur Radiol       Date:  2014-06-28       Impact factor: 5.315

6.  [Future of mammography-based imaging].

Authors:  R Schulz-Wendtland; T Wittenberg; T Michel; A Hartmann; M W Beckmann; C Rauh; S M Jud; B Brehm; M Meier-Meitinger; G Anton; M Uder; P A Fasching
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

7.  Breast Cancer Risk - Genes, Environment and Clinics.

Authors:  P A Fasching; A B Ekici; B R Adamietz; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2011-12       Impact factor: 2.915

8.  Mammographic Density and Prediction of Nodal Status in Breast Cancer Patients.

Authors:  C C Hack; L Häberle; K Geisler; R Schulz-Wendtland; A Hartmann; P A Fasching; M Uder; D L Wachter; S M Jud; C R Loehberg; M P Lux; C Rauh; M W Beckmann; K Heusinger
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-02       Impact factor: 2.915

9.  Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis.

Authors:  P A Fasching; A B Ekici; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; M Schneider; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-12       Impact factor: 2.915

10.  Progesterone in Peri- and Postmenopause: A Review.

Authors:  P-A Regidor
Journal:  Geburtshilfe Frauenheilkd       Date:  2014-11       Impact factor: 2.915

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