Autor: |
Huber, Rudolf M, Cavic, Milena, Kerpel-Fronius, Anna, Viola, Lucia, Field, John, Jiang, Long, Kazerooni, Ella A, Koegelenberg, Coenraad FN, Mohan, Anant, Dos Santos, Ricardo Sales, Ventura, Luigi, Wynes, Murry, Yang, Dawei, Zulueta, Javier, Lee, Choon-Taek, Tammemagi, Martin C, Henschke, Claudia I, Lam, Stephen, Grp, Diagnostics Working, Comm, Early Detection Screening |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
JOURNAL OF THORACIC ONCOLOGY |
Popis: |
After the results of two large, randomized trials, the global implementation of lung cancer screening is of outmost importance. However, COVID-19 infections occurring at heightened levels during the current global pandemic, and also other respiratory infections, can influence scan interpretation, and screening safety and uptake. Several respiratory infections can lead to lesions that mimic malignant nodules and other imaging changes suggesting malignancy, leading to an increased level of follow-up procedures or even invasive diagnostic procedures. In periods of increased rates of respiratory infections such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) there is also a risk of transmission of these infections to the health care providers, the screenees and patients. This became very clear and evident for the SARS-CoV-2 pandemic and led to a temporary global stop of lung cancer and other cancer screening programs. Data about the optimal management of these situations are not available. The pandemic is still ongoing and there will come further periods of increased respiratory infections, where practical guidance would be helpful. The aim of this report is a) to summarize the data available for possible false positive results due to respiratory infections, b) to evaluate the safety concerns for screening during times of increased respiratory infections, especially during a regional outbreak or an epidemic or pandemic event, c) to provide guidance for these situations and d) to stimulate research and discussions about these scenarios. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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