ReviewTranslational lung cancer research2021
Latest CT technologies in lung cancer screening: protocols and radiation dose reduction.
Review in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed.
- Research progress of confocal laser endomicroscopy in malignant respiratory diseases: A review.Medicine · 2026Review
- Reframing computed tomography-associated cancer concerns in lifesaving screening: keeping the focus on lives saved.Lancet regional health. Americas · 2026Review
- Applying artificial intelligence to ensure high quality and equitable lung cancer screening.Translational lung cancer research · 2026Review
- Contrast-sparing CT using renal-clearable gold nanoclusters for early spatial mapping of renal dysfunction.Science advances · 2026Article
- Individualized Radiation Dose Assessment in Low-Dose Chest CT: The Role of DLPss and Topogram Optimization.Journal of clinical medicine · 2026Article
- Developing a calibration method to utilize low-dose chest CT for assessment of coronary artery calcification score.Journal of applied clinical medical physics · 2026Article
- CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.Insights into imaging · 2026Article
- Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters.European radiology · 2026Article
- Early Detection of Lung Cancer: A Review of Innovative Milestones and Techniques.Journal of clinical medicine · 2025Review
- Quantitative CT reconstruction kernel harmonization for multi-site lung cancer screening.Journal of applied clinical medical physics · 2025Article
- The application of deep learning-based artificial intelligence algorithms combined with low-dose scanning protocols in chest CT.Quantitative imaging in medicine and surgery · 2025Article
- Structured narrative review on lung cancer screening: current evidence, clinical practice implications and implementation insights from a multidisciplinary task force and patient representatives.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Deep learning-based image domain reconstruction enhances image quality and pulmonary nodule detection in ultralow-dose CT with adaptive statistical iterative reconstruction-V.European radiology · 2025Article
- Article
- Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance.Insights into imaging · 2025Article
- Evaluation of an in-use chest CT protocol in lung cancer screening - A single institutional study.Acta radiologica open · 2024Article
- New developments in the imaging of lung cancer.Breathe (Sheffield, England) · 2024Review
- Influence of spectral shaping and tube voltage modulation in ultralow-dose computed tomography of the abdomen.BMC medical imaging · 2024Article
- Detection, measurement, and diagnosis of lung nodules by ultra-low-dose CT in lung cancer screening: a systematic review.BJR open · 2024Article
- Lung cancer screening in Brazil: recommendations from the Brazilian Society of Thoracic Surgery, Brazilian Thoracic Association, and Brazilian College of Radiology and Diagnostic Imaging.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this review is to provide clinicians and technicians with an overview of the development of CT protocols in lung cancer screening. CT protocols have evolved from pre-fixed settings in early lung cancer screening studies starting in 2004 towards automatic optimized settings in current international guidelines. The acquisition protocols of large lung cancer screening studies and guidelines are summarized. Radiation dose may vary considerably between CT protocols, but has reduced gradually over the years. Ultra-low dose acquisition can be achieved by applying latest dose reduction techniques. The use of low tube current or tin-filter in combination with iterative reconstruction allow to reduce the radiation dose to a submilliSievert level. However, one should be cautious in reducing the radiation dose to ultra-low dose settings since performed studies lacked generalizability. Continuous efforts are made by international radiology organizations to streamline the CT data acquisition and image quality assurance and to keep track of new developments in CT lung cancer screening. Examples like computer-aided diagnosis and radiomic feature extraction are discussed and current limitations are outlined. Deep learning-based solutions in post-processing of CT images are provided. Finally, future perspectives and recommendations are provided for lung cancer screening CT protocols.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.