Literature DB >> 23904833

Population-Based Effects of Mammography Screening in Bavaria on the Distribution of TNM-T Categories with Respect to Different Histological Subgroups.

Ulrike Braisch1, Karla Geiss, Martin Radespiel-Tröger, Martin Meyer.   

Abstract

BACKGROUND: Organized mammography screening was implemented in Bavaria in 2003, with a target population of about 1.5 million women (aged 50-69 years). We evaluated the population-based effects of mammography screening on the distribution of tumor-node-metastasis (TNM)-T categories with regard to different histological subgroups of breast cancer. PATIENTS AND METHODS: Women diagnosed with breast cancer between 2002 and 2008 were included. The annual age-specific incidence rates separated by T category were calculated for different histological subgroups and plotted against time. Time trends were analyzed not only in the screening population but also based on women aged 15-49 and ≥70 years, respectively. Furthermore, correlation coefficients were calculated in order to evaluate the possible association between participation rate and incidence of certain TNM-T categories.
RESULTS: With ductal carcinomas, the incidence of early-stage tumors shows a strong increase in the screening population and a significant correlation with the participation rate, whereas with lobular carcinomas there is a stagnation of incidence in women aged 50-69 years irrespective of TNM-T category.
CONCLUSIONS: Short-term effects of mammography screening can already be demonstrated. However, depending on breast cancer type, not all women appear to benefit from screening. The expected long-term reduction of breast cancer mortality remains to be seen.

Entities:  

Keywords:  Breast cancer; Histological types; Mammography; Screening

Year:  2012        PMID: 23904833      PMCID: PMC3515788          DOI: 10.1159/000341369

Source DB:  PubMed          Journal:  Breast Care (Basel)        ISSN: 1661-3791            Impact factor:   2.860


  15 in total

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Authors:  Martin Radespiel-Tröger; Karla Geiss; Anja Gärtig-Daugs; Martin Meyer
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