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Related Experiment Videos

Interactive neural-network-assisted screening. An economic assessment

P W Radensky1, L J Mango

  • 1McDermott, Will, & Emery, Miami, Florida, USA.

Acta Cytologica
|February 28, 1998
PubMed
Summary
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Cancer·1998

Interactive, neural network-assisted (INNA) screening for cervical cancer is cost-effective, with most analyses showing less than $50,000 per life year saved. This technology helps identify missed abnormalities and potential cancers.

Area of Science:

  • Oncology
  • Health Economics
  • Medical Technology Assessment

Background:

  • Cervical cancer screening is crucial for early detection and prevention.
  • Traditional screening methods have limitations in sensitivity.
  • Interactive, neural network-assisted (INNA) screening offers a potential improvement.

Purpose of the Study:

  • To evaluate the economic impact of INNA screening for cervical cancer.
  • To integrate clinical effectiveness data of INNA into economic models.
  • To assess the cost-effectiveness of this advanced screening technology.

Main Methods:

  • Applied INNA screening sensitivity estimates from literature synthesis.
  • Utilized the Computer Model for Designing CANcer ConTROL Programs (CANControl) economic model.

Related Experiment Videos

  • Conducted analysis from a modified payer perspective, including patient costs.
  • Modeled a cohort screened triennially from age 20 to 75.

    • Main Results:

    • Cost-effectiveness ratios ranged from $35,000 to $80,000 per life year saved.
    • The majority of ratios were below $50,000 per life year saved.
    • Results were sensitive to the assumed sensitivity of unassisted manual screening, not treatment costs.

    Conclusions:

    • INNA rescreening data applied to cost-effectiveness models show favorable results.
    • INNA screening is a cost-effective expenditure for identifying cervical abnormalities.
    • Supports the use of INNA for improving cervical cancer detection and resource allocation.