ArticleMedical physics2017
Comparison of low- and ultralow-dose computed tomography protocols for quantitative lung and airway assessment.
Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Ultralow dose CT for follow-up of solid pulmonary nodules: A pilot single-center study using Bland-Altman analysis.Medicine · 2018Trial
- Seeing is believing-on the utility of CT in phenotyping chronic obstructive pulmonary disease.The British journal of radiology · 2026Review
- Ultra-high Resolution Photon Counting Detector Computed Tomography Imaging for Quantitative Lung Assessment: An Anthropomorphic Phantom Study.Investigative radiology · 2026Article
- Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.Lasers in medical science · 2025Review
- Harmonized low-dose computed tomographic protocols for quantitative lung imaging using dose modulation and advanced reconstructions.Medical physics · 2025Article
- Comparison of quantitative lung measures in low dose energy-integrating detector and photon-counting detector chest CT with an anthropomorphic phantom.Biomedical physics & engineering express · 2025Article
- Light Convolutional Neural Network to Detect Chronic Obstructive Pulmonary Disease (COPDxNet): A Multicenter Model Development and External Validation Study.medRxiv : the preprint server for health sciences · 2025Article
- Design of the SPIROMICS Study of Early COPD Progression: SOURCE Study.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2024Article
- Dose robustness of deep learning models for anatomic segmentation of computed tomography images.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Repeatability of Pulmonary Quantitative Computed Tomography Measurements in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2023Article
- Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network.Medical physics · 2023Article
- Imaging Regional Airway Involvement of Asthma: Heterogeneity in Ventilation, Mucus Plugs and Remodeling.Advances in experimental medicine and biology · 2023Article
- Airway Detection in COPD at Low-Dose CT Using Deep Learning and Multiparametric Freeze and Grow.Radiology. Cardiothoracic imaging · 2022Article
- Quantitative Computed Tomography: What Clinical Questions Can it Answer in Chronic Lung Disease?Lung · 2022Review
- Origins of and lessons from quantitative functional X-ray computed tomography of the lung.The British journal of radiology · 2022Review
- The emerging role of quantitative imaging in asthma.The British journal of radiology · 2022Article
- Article
- CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.International journal of chronic obstructive pulmonary disease · 2022Review
- Correlations of Computed Tomography Measurement of Distal Pulmonary Vascular Pruning with Airflow Limitation and Emphysema in COPD Patients.International journal of chronic obstructive pulmonary disease · 2022Article
- Creating a training set for artificial intelligence from initial segmentations of airways.European radiology experimental · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
purposeQuantitative computed tomography (CT) measures are increasingly being developed and used to characterize lung disease. With recent advances in CT technologies, we sought to evaluate the quantitative accuracy of lung imaging at low- and ultralow-radiation doses with the use of iterative reconstruction (IR), tube current modulation (TCM), and spectral shaping.
methodsWe investigated the effect of five independent CT protocols reconstructed with IR on quantitative airway measures and global lung measures using an in vivo large animal model as a human subject surrogate. A control protocol was chosen (NIH-SPIROMICS + TCM) and five independent protocols investigating TCM, low- and ultralow-radiation dose, and spectral shaping. For all scans, quantitative global parenchymal measurements (mean, median and standard deviation of the parenchymal HU, along with measures of emphysema) and global airway measurements (number of segmented airways and pi10) were generated. In addition, selected individual airway measurements (minor and major inner diameter, wall thickness, inner and outer area, inner and outer perimeter, wall area fraction, and inner equivalent circle diameter) were evaluated. Comparisons were made between control and target protocols using difference and repeatability measures.
resultsEstimated CT volume dose index (CTDIvol) across all protocols ranged from 7.32 mGy to 0.32 mGy. Low- and ultralow-dose protocols required more manual editing and resolved fewer airway branches; yet, comparable pi10 whole lung measures were observed across all protocols. Similar trends in acquired parenchymal and airway measurements were observed across all protocols, with increased measurement differences using the ultralow-dose protocols. However, for small airways (1.9 ± 0.2 mm) and medium airways (5.7 ± 0.4 mm), the measurement differences across all protocols were comparable to the control protocol repeatability across breath holds. Diameters, wall thickness, wall area fraction, and equivalent diameter had smaller measurement differences than area and perimeter measurements.
conclusionsIn conclusion, the use of IR with low- and ultralow-dose CT protocols with CT volume dose indices down to 0.32 mGy maintains selected quantitative parenchymal and airway measurements relevant to pulmonary disease characterization.
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