Literature DB >> 27085424

Body weight and sensitivity of screening mammography.

Sisse H Njor1, My von Euler-Chelpin1, Anne Tjønneland2, Ilse Vejborg3, Elsebeth Lynge4.   

Abstract

AIM: Obese women tend to participate less in breast cancer screening than normal weight women. However, obese women have fattier breast than normal weight women, and screening mammography works better in fatty than in dense breasts. One might, therefore, hypothesise that obese women would actually benefit more from screening than other women.
METHODS: We combined data from the Danish Diet, Cancer and Health study and the organised population-based screening mammography programme in Copenhagen, Denmark. Women were categorised according to body mass index (BMI) (<20; 20 to <25; 25 to <30; 30 to <35, and 35+). We measured recall rate, sensitivity and specificity for subsequent screens with a 2-year follow-up period.
RESULTS: The study included 6787 women. The recall rate varied from 1.4% for women with BMI <20 to 1.9% for women with BMI 35+, test for trend p = 0.86. Sensitivity varied from 42% (95% confidence interval [CI] 20-64%) for women with BMI <20 to 100% (95% CI 69-100%) for women with BMI 35+, test for trend p = 0.015. Specificity was fairly constant across BMI levels, being on average 98.8%, test for trend p = 0.79.
CONCLUSION: This study showed that obese women were the ones with the highest sensitivity of screening mammography, while the specificity of screening remained stable across weight groups. Screening programmes should be organized to encourage these women to overcome obstacles for participation.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Breast cancer; Obesity; Screening

Mesh:

Year:  2016        PMID: 27085424     DOI: 10.1016/j.ejca.2016.02.028

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

1.  Relationship between body mass index and malignancy rates of MRI-guided breast biopsies: impact of clinicodemographic factors.

Authors:  Annie Tang; Caitlin M Cohan; Keith S Hansen; Genna Beattie; Heather I Greenwood; Rita A Mukhtar
Journal:  Breast Cancer Res Treat       Date:  2021-03-27       Impact factor: 4.872

2.  Synergy in combining findings from mammography and ultrasonography in detecting malignancy in women with higher density breasts and lesions over 2 cm in Albania.

Authors:  Altin Malaj; Albana Shahini
Journal:  Contemp Oncol (Pozn)       Date:  2017-01-12

3.  Association Between Obesity and Clinicopathological Profile of Patients with Newly Diagnosed Non-Metastatic Breast Cancer in Saudi Arabia.

Authors:  Bader Alshamsan; Kausar Suleman; Naela Agha; Marwa I Abdelgawad; Mashari J Alzahrani; Tusneem Elhassan; Taher Al-Tweigeri; Dahish Ajarim; Adher Alsayed
Journal:  Int J Womens Health       Date:  2022-03-12

4.  The impact of body mass index on breast cancer incidence among women at increased risk: an observational study from the International Breast Intervention Studies.

Authors:  Samuel G Smith; Ivana Sestak; Michelle A Morris; Michelle Harvie; Anthony Howell; John Forbes; Jack Cuzick
Journal:  Breast Cancer Res Treat       Date:  2021-03-03       Impact factor: 4.872

Review 5.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26

Review 6.  Diabetes, Obesity, and Inflammation: Impact on Clinical and Radiographic Features of Breast Cancer.

Authors:  Braden Miller; Hunter Chalfant; Alexandra Thomas; Elizabeth Wellberg; Christina Henson; Molly W McNally; William E Grizzle; Ajay Jain; Lacey R McNally
Journal:  Int J Mol Sci       Date:  2021-03-09       Impact factor: 5.923

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.