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Risk models may improve lung cancer screening

Analysis found no single prediction model optimized screening eligibility, sensitivity, and efficiency across all racial and ethnic groups.

  • By

  • Olivia Anderson

  • August 24, 2026

  • 3 min

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  • 1

    Risk-based lung cancer screening strategies may enhance efficiency and reduce disparities compared to current USPSTF eligibility criteria.

  • 2

    The study evaluated 16 lung cancer risk prediction models among over 641,000 US adults aged 50 to 80 with a smoking history.

  • 3

    Existing prediction models showed significant underestimation of lung cancer risk in non-Hispanic Black participants.

  • 4

    Models incorporating race and ethnicity as predictors generally demonstrated better calibration across racial and ethnic groups.

  • 5

    The study highlighted the need for further optimization of prediction models to address disparities in lung cancer screening.

Original Source(s)

Risk models may improve lung cancer screening

  • by Olivia Anderson

  • August 24, 2026

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