Study
NLST
(Learn more about this study)
Project ID
NLST-1228
Initial CDAS Request Approval
Apr 10, 2024
Title
Optimization of nodule management strategies in lung cancer screening for high-risk populations
Summary
The management of non-calcified nodules detected through low-dose computed tomography is a critical part of lung cancer screening, intending to ensure the effectiveness of screening while minimizing the potential harms associated with screening. However, the definition of a positive screening result and the subsequent triage management based on the risk of a positive nodule will significantly impact the effectiveness and cost-effectiveness of the screening program. In order to find an optimal nodule management strategy, a model-based cost-effectiveness analysis over the lifetime horizon will be conducted from the perspective of the U.S. healthcare sector, and different nodule management strategies varying in screening age, positive threshold and referral thresholds will be evaluated in the model. The following outcomes will be estimated: cancer cases detected, lung cancer deaths averted, life-years gained, number of false-positive results, and incremental cost per quality-adjusted life years.
Aims
1. To analyze the clinical benefits and harms of different criteria for positive nodules by using a modeling approach.
2. To compare the triage nodule management strategy with the use of prediction models (e.g. Mayo and Brock) and the traditional nodule management strategy (e.g. Lung-RADS).
3. To identify an optimal nodule management strategy by comparing benefits, harms, and cost-effectiveness of various strategies in lung cancer screening of high-risk populations.
4. To optimize existing nodule management processes through modeling, which is expected to minimize the potential harms of screening while ensuring its effectiveness.
Collaborators
Tiantian Zhang, Jinan University
Leyao Zhang, Jinan University
Yijin Qiu, Jinan University
Yunwu Zeng, Jinan University
