ReviewJournal of thoracic imaging2013
Development of quantitative computed tomography lung protocols.
Review in Journal of thoracic imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Use of Computed Tomography Densitometry for the Assessment of Emphysema in Clinical Trials: A Position Paper from the Fleischner Society.American journal of respiratory and critical care medicine · 2025Pooled it
- Comparative Analysis of Ultrasonography and MicroCT Imaging for Organ Size Evaluation in Mice.Journal of imaging · 2025Article
- Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm.Investigative radiology · 2025Article
- Pulmonary emphysema: the assessment of lung perfusion with Dual-Energy CT and pulmonary scintigraphy.La Radiologia medica · 2024Article
- Feasibility study of opportunistic osteoporosis screening on chest CT using a multi-feature fusion DCNN model.Archives of osteoporosis · 2024Article
- LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation.IEEE transactions on medical imaging · 2024Article
- Article
- The effect of exacerbations on lung density in αERJ open research · 2023Article
- Article
- Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.The Journal of allergy and clinical immunology · 2021Article
- Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia.European radiology · 2021Article
- Quality control of radiomic features using 3D-printed CT phantoms.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Article
- Feasibility of bronchial wall quantification in low- and ultralow-dose third-generation dual-source CT: An ex vivo lung study.Journal of applied clinical medical physics · 2020Article
- Challenges of evaluating lung function as part of cancer care during the COVID-19 pandemic.The European respiratory journal · 2020Article
- Airway quantification using adaptive statistical iterative reconstruction-V on wide-detector low-dose CT: a validation study on lung specimen.Japanese journal of radiology · 2019Article
- Autopsy and Imaging Studies of Mucus in Asthma. Lessons Learned about Disease Mechanisms and the Role of Mucus in Airflow Obstruction.Annals of the American Thoracic Society · 2018Review
- Impact of advanced detector technology and iterative reconstruction on low-dose quantitative assessment of lung computed tomography density in a biological lung model.Medical physics · 2018Article
- Article
- Comparison of low- and ultralow-dose computed tomography protocols for quantitative lung and airway assessment.Medical physics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The purpose of this review article is to review the process of developing optimal computed tomography (CT) protocols for quantitative lung CT (QCT). In this review, we discuss the following important topics: QCT-derived metrics of lung disease; QCT scanning protocols; quality control; and QCT image processing software. We will briefly discuss several QCT-derived metrics of lung disease that have been developed for the assessment of emphysema, small airway disease, and large airway disease. The CT scanning protocol is one of the most important elements in a successful QCT. We will provide a detailed description of the current move toward optimizing the QCT protocol for the assessment of chronic obstructive pulmonary disorder and asthma. Quality control of CT images is also a very important part of the QCT process. We will discuss why it is necessary to use CT scanner test objects (phantoms) to provide frequent periodic checks on the CT scanner calibration to ensure precise and accurate CT numbers. We will discuss the use of QCT image processing software to segment the lung and extract the desired QCT metrics of lung disease. We will discuss the practical issues of using this software. The data obtained from the image processing software are then combined with those from other clinical examinations, health status questionnaires, pulmonary physiology, and genomics to increase our understanding of obstructive lung disease and improve our ability to design new therapies for these diseases.
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What OpenQuestion holds
Registered trials
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.