A risk-based framework for assessing real-time lung cancer screening eligibility that incorporates life expectancy and past screening findings

Iakovos Toumazis, Oguzhan Alagoz, Ann Leung, Sylvia K. Plevritis

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Background: Current lung cancer risk-based screening approaches use a single risk-threshold, disregard life-expectancy, and ignore past screening findings. We address these limitations with a comprehensive analytical framework, the individualized lung cancer screening decision (ENGAGE) tool that aims to optimize lung cancer screening for US ever-smokers under dynamic risk assessment by incorporating life expectancy and past screening findings over time. Methods: ENGAGE employs a partially observable Markov decision process framework that integrates published risk prediction and disease progression models, to dynamically assess the trade-off between the expected health benefits and harms associated with screening. ENGAGE evaluates lung cancer risk annually and provides real-time screening eligibility that maximizes the expected quality-adjusted life-years (QALYs) of ever-smokers. We compare ENGAGE against the 2013 U.S. Preventive Services Task Force (USPSTF) lung cancer screening guideline and single-threshold risk-based screening paradigms. Results: Compared with the 2013 USPSTF guidelines, ENGAGE expands screening coverage among ever-smokers (ENGAGE: 78%, USPSTF: 61%), while reducing the number of screening examinations per person (ENGAGE:10.43, USPSTF:12.07, P <.001), yields higher effectiveness in terms of increased lung cancer-specific mortality reduction (ENGAGE: 19%, USPSTF: 15%, P <.001) and improves screening efficiency (ENGAGE: 696, USPSTF: 819 screens per death avoided, P <.001). When compared against a single-threshold risk-based screening strategy, ENGAGE increases QALY requiring 30% fewer screens per death avoided (ENGAGE: 696, single-threshold: 889, P <.001), and reduces false positives by 40%. Conclusions: ENGAGE provides a comprehensive framework for dynamic risk-based assessment of lung cancer screening eligibility by incorporating life expectancy and past screening findings that can serve to guide future policies on the effectiveness and efficiency of screening. Lay Summary: A novel decision-analytical screening framework was developed for lung cancer, the individualized lung cancer screening decision (ENGAGE) tool to provide personalized screening schedules for ever-smokers. ENGAGE captures the dynamic nature of lung cancer risk and incorporates life expectancy into the screening decision-making process. ENGAGE integrates past screening findings and changes in smoking behavior of individuals and provides informed screening decisions that outperform existing screening guidelines and single-threshold risk-based screening approaches. A personalized lung cancer screening program facilitated by a tool such as ENGAGE could enhance the efficiency of lung cancer screening.

Original languageEnglish (US)
Pages (from-to)4432-4446
Number of pages15
JournalCancer
Volume127
Issue number23
DOIs
StatePublished - Dec 1 2021

Keywords

  • life expectancy
  • low-dose computed tomography
  • lung cancer
  • lung cancer risk
  • medical decision-making
  • partially observable Markov decision process (POMDP)
  • personalized risk assessment
  • risk factors
  • risk prediction
  • risk-based screening
  • screening
  • smoking
  • uncertainty

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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