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Updated: Feb 15, 2026

Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
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Insights Into Breast Cancer Screening: A Computer Simulation of Two Contemporary Screening Strategies.

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Summary

The American Cancer Society's 2015 mammography screening guideline is generally preferred over the 2016 USPSTF guideline. No screening may be reasonable if mammography's mortality benefit decreases.

Keywords:
Monte Carlo methodbreast cancercost-effectiveness acceptability curvesmammography screeningmixed interval screening

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Area of Science:

  • Oncology
  • Preventive Medicine
  • Health Economics

Background:

  • Debates on mammography screening value persist due to uncertainties in benefits and harms.
  • Harms include false-positives, unnecessary biopsies, overdiagnosis, and overtreatment.
  • Assessing screening effectiveness requires balancing benefits against these harms.

Purpose of the Study:

  • To compare the 2015 American Cancer Society (ACS) mixed annual-biennial guideline with the 2016 U.S. Preventive Services Task Force (USPSTF) fixed biennial guideline.
  • To evaluate the balance of benefits and harms of mammographic breast cancer screening for average-risk women using Monte Carlo simulation.
  • To analyze screening strategies based on cost-effectiveness and clinical measures under varying assumptions.

Main Methods:

  • Monte Carlo computer simulation was employed to model screening strategies.
  • Cost-effectiveness acceptability curves were used to analyze uncertainty in costs and health outcomes.
  • Comparative effectiveness analysis focused on false-positive screens and unnecessary biopsies per life-year gained.

Main Results:

  • The ACS 2015 mixed annual-biennial guideline was generally preferred based on both cost-effectiveness and clinical measures.
  • If the mortality benefit of mammography decreases, a strategy of no screening becomes a reasonable option.
  • The preference for the ACS guideline was consistent across various assumptions of willingness to pay for quality-adjusted life-years.

Conclusions:

  • A mixed annual-biennial screening strategy capitalizes on the varying occurrence of benefits and harms over time.
  • This approach enhances guidelines by considering age-dependent benefits and harms.
  • Exploiting age dependencies is a key step toward optimizing mammography screening recommendations.