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ESR Essentials: lung cancer screening with low-dose CT—practice recommendations by the European Society of Thoracic Imaging

Marie-Pierre Revel, Jürgen Biederer, Arjun Nair, Mario Silva, Colin Jacobs, Annemiek Snoeckx, Mathias Prokop, Helmut Prosch, Anagha P. Parkar, Thomas Frauenfelder, Anna Rita Larici

2025European Radiology11 citationsDOIOpen Access PDF

Abstract

Abstract Low-dose CT screening for lung cancer reduces the risk of death from lung cancer by at least 21% in high-risk participants and should be offered to people aged between 50 and 75 with at least 20 pack-years of smoking. Iterative reconstruction or deep learning algorithms should be used to keep the effective dose below 1 mSv. Deep learning algorithms are required to facilitate the detection of nodules and the measurement of their volumetric growth. Only large solid nodules larger than 500 mm 3 or those with spiculations, bubble-like lucencies, or pleural indentation and complex cysts should be investigated further. Short-term follow-up at 3 or 6 months is required for solid nodules of 100 to 500 mm 3 . A watchful waiting approach is recommended for most subsolid nodules, to limit the risk of overtreatment. Finally, the description of additional findings must be limited if LCS is to be cost-effective. Key Points Low-dose CT screening reduces the risk of death from lung cancer by at least 21% in high-risk individuals, with a greater benefit in women. Quality assurance of screening is essential to control radiation dose and the number of false positives. Screening with low-dose CT scans detects incidental findings of variable clinical relevance, only those of importance should be reported.

Topics & Concepts

MedicineNeuroradiologyInterventional radiologyLung cancerRadiologyUltrasoundMedical physicsLungCancerOncologyInternal medicineNeurologyPsychiatryLung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingUltrasound in Clinical Applications
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