ArticleInsights into imaging2025
Ultra-low dose dual-layer detector spectral CT for pulmonary nodule screening: image quality and diagnostic performance.
Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Imaging characteristics and discrimination model development for early gastric cancer using multi-spectral CT.Surgical endoscopy · 2026Article
- Short-term monitoring of CFTR modulator therapy in adults and children with cystic fibrosis using low and ultra-low-dose lung CT.La Radiologia medica · 2026Article
- CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.Insights into imaging · 2026Article
- Spectral CT Electron Density Mapping for Lung Biopsy Targeting.Radiology. Imaging cancer · 2026Article
- Early Detection of Lung Cancer: A Review of Innovative Milestones and Techniques.Journal of clinical medicine · 2025Review
- Comparison of chest computed tomography in Turbo FLASH mode with conventional mode for coronary artery disease screening: radiation dose, image quality, and calcium scoring performance.Quantitative imaging in medicine and surgery · 2025Article
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Funding
Abstract
objectivesTo investigate the image quality and diagnostic performance with ultra-low dose dual-layer detector spectral CT (DLSCT) by various reconstruction techniques for evaluation of pulmonary nodules. MATERIALS AND
methodsBetween April 2023 and December 2023, patients with suspected pulmonary nodules were prospectively enrolled and underwent regular-dose chest CT (RDCT; 120 kVp/automatic tube current) and ultra-low dose CT (ULDCT; 100 kVp/10 mAs) on a DLSCT scanner. ULDCT was reconstructed with hybrid iterative reconstruction (HIR), electron density map (EDM), and virtual monoenergetic images at 40 keV and 70 keV. Quantitative and qualitative image analysis, nodule detectability, and Lung-RADS evaluation were compared using repeated one-way analysis of variance, Friedman test, and weighted kappa coefficient.
resultsA total of 249 participants (mean age ± standard deviation, 50.0 years ± 12.9; 126 male) with 637 lung nodules were included. ULDCT resulted in a significantly lower mean radiation dose than RDCT (0.3 mSv ± 0.0 vs. 3.6 mSv ± 0.8; p < 0.001). Compared with RDCT, ULDCT EDM showed significantly higher signal-noise-ratio (44.0 ± 77.2 vs. 4.6 ± 6.6; p < 0.001) and contrast-noise-ratio (26.7 ± 17.7 vs. 5.0 ± 4.4; p < 0.001) with qualitative scores ranked higher or equal to the average. Using the regular-dose images as a reference, ULDCT EDM images had a satisfactory nodule detection rate (84.6%) and good inter-observer agreements compared with RDCT (κw > 0.60).
conclusionUltra-low dose dual-layer detector CT with 91.2% radiation dose reduction achieves sufficient image quality and diagnostic performance of pulmonary nodules. CRITICAL RELEVANCE STATEMENT: Dual-layer detector spectral CT enables substantial radiation dose reduction without impairing image quality for the follow-up of pulmonary nodules or lung cancer screening. KEY POINTS: Radiation dose is a major concern for patients requiring pulmonary nodules CT screening. Ultra-low dose dual-layer detector spectral CT with 91.2% dose reduction demonstrated satisfactory performance. Dual-layer detector spectral CT has the potential for lung cancer screening and management.
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