The introduction of a national **lung cancer screening** program in Croatia marks a significant public health milestone. This European Union (EU) nation is the first to implement a fully integrated, nationwide screening initiative. Croatia aimed to immediately address its severe burden of late-stage lung cancer diagnoses and high mortality rates. This model offers vital lessons for public health policy in countries like India, which currently lack a formal program.
The Croatian Model: Integrated Public Health
The Ministry of Health designed a comprehensive, multidisciplinary effort. Consequently, the program seamlessly fits into the existing national healthcare infrastructure. It is also fully reimbursed, ensuring equitable access for all high-risk individuals. The program’s successful rollout occurred from October 2020 to August 2025. In fact, more than 50,000 participants received screening during this period, resulting in over 70,000 Low-Dose Computed Tomography (LDCT) scans. The participants averaged 62 years of age, with 46% being female. Moreover, the program assigned a crucial role to General Practitioners (GPs). They are responsible for identifying and referring high-risk individuals. This GP-centered approach has been key to high enrollment and feasibility in other similar studies.
AI-Driven Lung Cancer Screening Technology
This forward-thinking national program incorporates several innovative technological components. Specifically, it applies modified International Early Lung Cancer Action Program (I-ELCAP) criteria for pulmonary nodule management. The program relies on complete digitalization for efficient data management. Furthermore, it crucially uses Artificial Intelligence (AI) for volumetric analysis of nodules. AI helps radiologists accurately characterize pulmonary nodules and estimate malignancy risk, significantly improving interpretation efficiency and reducing burnout. In fact, AI extends the value of LDCT by allowing for opportunistic screening for comorbidities like cardiovascular disease and emphysema. This is particularly relevant since 4.5% of the initial Croatian cohort had positive screening results requiring follow-up.
Clinical Relevance for Global Lung Cancer Screening
The Croatian framework demonstrates the clear feasibility of a fully reimbursed national screening program within a public healthcare system. Conversely, in India, where there are no official national guidelines, clinicians must rely on adapting international standards like NCCN and USPSTF criteria for high-risk smokers. Therefore, the Croatian model’s success provides a replicable, high-impact blueprint. Policymakers should consider implementing a similar integrated strategy that leverages technology and primary care for public health benefit.
Frequently Asked Questions
Q1: What are the unique features of the Croatian Lung Cancer Screening Program?
The program is unique because it is the first fully integrated, national-level screening program in the EU that is completely reimbursed. It incorporates AI-assisted volumetric analysis, modified I-ELCAP criteria, and utilizes General Practitioners (GPs) for high-risk patient recruitment and referral.
Q2: Why is the Croatian model relevant to countries like India?
The Croatian model demonstrates the feasibility of national lung cancer screening within a public healthcare system, even with significant logistical challenges. Its integrated approach and reliance on technology (AI, digitalization) offer a scalable and high-impact framework that policymakers in India, where no national program currently exists, can study and potentially replicate.
Q3: What was the main finding of the initial screening phase?
From October 2020 to August 2025, over 50,000 participants were screened with more than 70,000 LDCT scans performed. The program found that 4.5% of the participants had positive results requiring further follow-up or diagnostic workup.
References
- Samaržija M et al. Design of the first national lung cancer screening program in the European Union: the Croatian Model. Eur Radiol. 2025 Dec 06. doi: 10.1007/s00330-025-12185-w. PMID: 41351704.
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