Disruption of Radiological Surveillance Following a Global Health Crisis in Resected Lung Cancer
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: Radiological surveillance after curative-intent lung cancer resection is essential for early detection of recurrence and second primary tumors. Large-scale health emergencies can compromise oncologic follow-up. This study quantifies the impact of a health crisis on radiological surveillance in a national cohort of resected lung cancer patients. METHODS: A time-segmented observational cohort study was performed using data from the prospective, multicenter GEVATS registry. Surveillance density (CT/month) was evaluated across three predefined periods: pre-pandemic (baseline), state of alarm (maximum healthcare restrictions), and post-alarm (recovery phase). The population at risk was updated for each period. Subgroup analyses during the post-alarm phase assessed prioritization according to neoadjuvant treatment, pathological stage, age, and comorbidity. RESULTS: Among 2382 eligible patients, surveillance density declined progressively from the pre-pandemic period (0.157 ± 0.079 CT/month) to the state of alarm (0.098 ± 0.071 CT/month). In the post-alarm phase, density dropped sharply to 0.023 ± 0.018 CT/month (equivalent to one CT every 3.6 years), representing a 76.5% reduction compared with the state-of-alarm period (p < 0.001). This under-surveillance was generalized, with no significant differences by pathological stage (p = 0.084), age (p = 0.564), or comorbidity (p = 0.872). Only prior neoadjuvant therapy was associated with a slightly higher density (p = 0.040). CONCLUSIONS: A prolonged health crisis resulted in a profound and persistent reduction in radiological surveillance after lung cancer resection, without evidence of risk-based prioritization. These findings support the need for contingency frameworks within clinical guidelines to preserve continuity of oncologic follow-up during future health emergencies.
Source: Thoracic Cancer
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,030
OpenAlex ID: W7134969301
