ArticleMedical physics2011
Equating quantitative emphysema measurements on different CT image reconstructions.
Article in Medical physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 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
- Reproducibility of lung density quantification across photon-counting and conventional energy-integrating CT: a comparative study.The British journal of radiology · 2025Article
- ROBUST QUANTIFICATION OF PERCENT EMPHYSEMA ON CT VIA DOMAIN ATTENTION: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDY.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- A systematic assessment and optimization of photon-counting CT for lung density quantifications.Medical physics · 2024Article
- Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.European radiology · 2020Article
- Ultra-low-dose sequential computed tomography for quantitative lung aeration assessment-a translational study.Intensive care medicine experimental · 2017Article
- Lung Mass in Smokers.Academic radiology · 2017Article
- Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2016Article
- Lung hyperaeration assessment by computed tomography: correction of reconstruction-induced bias.BMC anesthesiology · 2016Observational
- DERIVATION OF A TEST STATISTIC FOR EMPHYSEMA QUANTIFICATION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2016Article
- Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification.European radiology · 2016Observational
- The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans.Tomography (Ann Arbor, Mich.) · 2015Article
- Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field model.IEEE transactions on medical imaging · 2014Article
- Investigating the Robustness Neighborhood Gray Tone Difference Matrix and Gray Level Co-occurrence Matrix Radiomic Features on Clinical Computed Tomography Systems Using Anthropomorphic Phantoms: Evidence From a Multivendor Study.Journal of computer assisted tomographyArticle
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7 authors.
Funding
Abstract
purposeTo mathematically model the relationship between CT measurements of emphysema obtained from images reconstructed using different section thicknesses and kernels and to evaluate the accuracy of the models for converting measurements to those of a reference reconstruction.
methodsCT raw data from the lung cancer screening examinations of 138 heavy smokers were reconstructed at 15 different combinations of section thickness and kernel. An emphysema index was quantified as the percentage of the lung with attenuation below -950 HU (EI950). Linear, quadratic, and power functions were used to model the relationship between EI950 values obtained with a reference 1 mm, medium smooth kernel reconstruction and values from each of the other 14 reconstructions. Preferred models were selected using the corrected Akaike information criterion (AICc), coefficients of determination (R2), and residuals (conversion errors), and cross-validated by a jackknife approach using the leave-one-out method.
resultsThe preferred models were power functions, with model R2 values ranging from 0.949 to 0.998. The errors in converting EI950 measurements from other reconstructions to the 1 mm, medium smooth kernel reconstruction in leave-one-out testing were less than 3.0 index percentage points for all reconstructions, and less than 1.0 index percentage point for five reconstructions. Conversion errors were related in part to image noise, emphysema distribution, and attenuation histogram parameters. Conversion inaccuracy related to increased kernel sharpness tended to be reduced by increased section thickness.
conclusionsImage reconstruction-related differences in quantitative emphysema measurements were successfully modeled using power functions.
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