Litcius/Paper detail

Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging

Annemiek Snoeckx, Mario Silva, Helmut Prosch, Jürgen Biederer, Thomas Frauenfelder, Fergus Gleeson, Colin Jacobs, Hans‐Ulrich Kauczor, Anagha P. Parkar, Cornelia Schaefer-Prokop, Mathias Prokop, Marie‐Pierre Revel

2025European Radiology16 citationsDOIOpen Access PDF

Abstract

Early detection of lung cancer through low-dose CT lung cancer screening in a high-risk population has proven to reduce lung cancer-specific mortality. Nodule management plays a pivotal role in early detection and further diagnostic approaches. The European Society of Thoracic Imaging (ESTI) has established a nodule management recommendation to improve the handling of pulmonary nodules detected during screening. For solid nodules, the primary method for assessing the likelihood of malignancy is to monitor nodule growth using volumetry software. For subsolid nodules, the aggressiveness is determined by measuring the solid part. The ESTI-recommendation enhances existing protocols but puts a stronger focus on lesion aggressiveness. The main goals are to minimise the overall number of follow-up examinations while preventing the risk of a major stage shift and reducing the risk of overtreatment. KEY POINTS: Question Assessment of nodule growth and management according to guidelines is essential in lung cancer screening. Findings Assessment of nodule aggressiveness defines follow-up in lung cancer screening. Clinical relevance The ESTI nodule management recommendation aims to reduce follow-up examinations while preventing major stage shift and overtreatment.

Topics & Concepts

MedicineNodule (geology)RadiologyLung cancerInterventional radiologyLung cancer screeningMalignancyNeuroradiologyLungCancerSolitary pulmonary noduleComputed tomographyInternal medicineBiologyPsychiatryNeurologyPaleontologyLung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingLung Cancer Treatments and Mutations