Literature DB >> 18516278

Evaluating Population-Based Screening Mammography Programs Internationally.

Carrie N Klabunde1, Rachel Ballard-Barbash.   

Abstract

This report describes the purpose and activities of the International Breast Cancer Screening Network (IBSN), a voluntary consortium of countries that focuses on collaborative research to identify and promote efficient, effective approaches to breast cancer control world-wide through population-based screening mammography. Sponsored by the U.S. National Cancer Institute, the IBSN was established in 1988 with eleven participating countries. By 2005, membership had grown to 27 countries. Recent IBSN efforts have involved gathering information on program organization and quality assurance activities, evaluating measures and methodologies for assessing screening mammography performance and outcomes, and examining the information that programs are providing to women as a means of facilitating informed decision-making about the benefits and risks of screening mammography. The ongoing IBSN effort demonstrates that-despite marked differences in health care systems-international collaborative work can contribute new knowledge to the monitoring and evaluation of organized, population-based screening mammography programs, and identify potential areas for improvement in screening performance in practice.

Entities:  

Year:  2007        PMID: 18516278      PMCID: PMC2390929          DOI: 10.1053/j.sembd.2007.09.007

Source DB:  PubMed          Journal:  Semin Breast Dis        ISSN: 1092-4450


  30 in total

1.  Service screening with mammography. Long-term effects on breast cancer mortality in the county of Gävleborg, Sweden.

Authors:  H Jonsson; L Nyström; S Törnberg; B Lundgren; P Lenner
Journal:  Breast       Date:  2003-06       Impact factor: 4.380

2.  Quality assurance for screening mammography: an international comparison.

Authors:  C Klabunde; F Bouchard; S Taplin; A Scharpantgen; R Ballard-Barbash
Journal:  J Epidemiol Community Health       Date:  2001-03       Impact factor: 3.710

3.  Print information to inform decisions about mammography screening participation in 16 countries with population-based programs.

Authors:  Jane G Zapka; Berta M Geller; Jean-Luc Bulliard; Jacques Fracheboud; Helene Sancho-Garnier; Rachel Ballard-Barbash
Journal:  Patient Educ Couns       Date:  2006-10

4.  Breast cancer screening in 21 countries: delivery of services, notification of results and outcomes ascertainment.

Authors:  R Ballard-Barbash; C Klabunde; E Paci; M Broeders; E A Coleman; J Fracheboud; F Bouchard; G Rennert; S Shapiro
Journal:  Eur J Cancer Prev       Date:  1999-10       Impact factor: 2.497

5.  Report on the International Workshop on Information Systems in Breast Cancer Detection.

Authors:  S Shapiro
Journal:  Cancer       Date:  1989-12-15       Impact factor: 6.860

6.  Cochrane review on screening for breast cancer with mammography.

Authors:  O Olsen; P C Gøtzsche
Journal:  Lancet       Date:  2001-10-20       Impact factor: 79.321

7.  Effect of NHS breast screening programme on mortality from breast cancer in England and Wales, 1990-8: comparison of observed with predicted mortality.

Authors:  R G Blanks; S M Moss; C E McGahan; M J Quinn; P J Babb
Journal:  BMJ       Date:  2000-09-16

8.  International comparison of performance measures for screening mammography: can it be done?

Authors:  B C Yankaskas; C N Klabunde; R Ancelle-Park; G Renner; H Wang; J Fracheboud; G Pou; J-L Bulliard
Journal:  J Med Screen       Date:  2004       Impact factor: 2.136

9.  Breast cancer screening programmes: the development of a monitoring and evaluation system.

Authors:  N E Day; D R Williams; K T Khaw
Journal:  Br J Cancer       Date:  1989-06       Impact factor: 7.640

10.  Predicted long-term mortality reduction associated with the second round of breast screening in East Anglia.

Authors:  J McCann; S Duffy; N Day
Journal:  Br J Cancer       Date:  2001-02-02       Impact factor: 7.640

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  7 in total

1.  Deep learning applied to breast imaging classification and segmentation with human expert intervention.

Authors:  Rory Wilding; Vivek M Sheraton; Lysabella Soto; Niketa Chotai; Ern Yu Tan
Journal:  J Ultrasound       Date:  2022-01-09

Review 2.  Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level.

Authors:  Tracy Onega; Elisabeth F Beaber; Brian L Sprague; William E Barlow; Jennifer S Haas; Anna N A Tosteson; Mitchell D Schnall; Katrina Armstrong; Marilyn M Schapira; Berta Geller; Donald L Weaver; Emily F Conant
Journal:  Cancer       Date:  2014-05-15       Impact factor: 6.860

3.  Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.

Authors:  Tess V Clendenen; Wenzhen Ge; Karen L Koenig; Yelena Afanasyeva; Claudia Agnoli; Louise A Brinton; Farbod Darvishian; Joanne F Dorgan; A Heather Eliassen; Roni T Falk; Göran Hallmans; Susan E Hankinson; Judith Hoffman-Bolton; Timothy J Key; Vittorio Krogh; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Patrick M Sluss; Malin Sund; Anthony J Swerdlow; Kala Visvanathan; Anne Zeleniuch-Jacquotte; Mengling Liu
Journal:  Breast Cancer Res       Date:  2019-03-19       Impact factor: 6.466

4.  Understanding the Value of International Research Networks: An Evaluation of the International Cancer Screening Network of the US National Cancer Institute.

Authors:  Amanda L Vogel; Douglas M Puricelli Perin; Ya-Ling Lu; Stephen H Taplin
Journal:  J Glob Oncol       Date:  2019-10

5.  Importance of International Networking and Comparative Research in Screening to Meet the Global Challenge of Cancer Control.

Authors:  Mireille Broeders; K Miriam Elfström
Journal:  JCO Glob Oncol       Date:  2020-02

6.  Interventions to increase mammography screening uptake among women living in low-income and middle-income countries: a protocol for a systematic review.

Authors:  Ifeoma Jovita Nduka; Izuchukwu Loveth Ejie; Charles Ebuka Okafor; George Uchenna Eleje; Obinna Ikechukwu Ekwunife
Journal:  BMJ Open       Date:  2022-03-30       Impact factor: 2.692

7.  The Feasibility of Classifying Breast Masses Using a Computer-Assisted Diagnosis (CAD) System Based on Ultrasound Elastography and BI-RADS Lexicon.

Authors:  Eduardo F C Fleury; Ana Claudia Gianini; Karem Marcomini; Vilmar Oliveira
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  7 in total

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