Cost-effectiveness of lung cancer screening: insights from risk stratification, guidelines, and emerging technologies—a systematic review

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Authors: Zijuan Fan, Manqi Zheng, Ziyun Guan, Hanting Liu, Pengyue Guo, Yang Zhu, Bing Zhang, Luyao Hu, Xianqi Zhao, Tiantian Fu, Mengting Liu, Xinran Jiang
+5 more Ningjun Ren, Chunli Zhang, W. Wang, Chun Hao, Jinghua Li
Cited by: 3
References: 88

Abstract

Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed at advanced stages. Early detection through screening can significantly reduce mortality, making cost-effectiveness evidence crucial for guiding policy decisions. This systematic review aimed to evaluate the cost-effectiveness of lung cancer screening across various modalities, populations, and settings. A comprehensive search of PubMed, EMBASE, Web of Science, and Cochrane Library was conducted for studies up to March 18, 2025, adhering to PRISMA guidelines. A total of 79 studies from 21 countries were included, with model-based analyses prevalent and 89.9% rated as high quality. Low-dose computed tomography (LDCT) emerged as the primary screening modality, although evidence on artificial intelligence (AI) and biomarkers is limited. Fourteen studies comparing LDCT with no screening showed incremental cost-effectiveness ratios (ICERs) ranging from $8376 to $200,921 per quality-adjusted life-year (QALY) gained. Notably, 90.3% of LDCT strategies were cost-effective by national thresholds, particularly in older adults and high-risk groups. Biennial screening often proved more cost-effective than annual in many scenarios. Overall, LDCT screening demonstrated favorable cost-effectiveness, necessitating further evaluation for emerging technologies in underserved regions.

Fields of Study & Subjects

Lung Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Lung Cancer Treatments and Mutations

Publication details

Journal / source
npj Primary Care Respiratory Medicine
Publisher
Springer Science and Business Media LLC
Volume
36
Issue
1
Pages
15–15
Publication date
20 January 2026
Language
EN