ArticleTomography (Ann Arbor, Mich.)2015
The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans.
Article in Tomography (Ann Arbor, Mich.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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
22 citing papers in PubMed.
- Feature-Based Parametric Response Mapping on Thoracic Computed Tomography for Robust Disease Classification in COPD.medRxiv : the preprint server for health sciences · 2026Article
- Prevalence of Interstitial Lung Abnormalities (ILAs) in Italian Lung Cancer Screening Programs: A Monocentric Study.Journal of clinical medicine · 2026Article
- Use of quantitative CT chest imaging to derive and assess a radiographic phenotype of deployment-related constrictive bronchiolitis.Respiratory research · 2025Article
- Topologic Parametric Response Mapping Identifies Tissue Subtypes Associated with Emphysema Progression.Academic radiology · 2024Article
- Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression.Respiratory research · 2024Article
- Quantitative accuracy of lung function measurement using parametric response mapping: A virtual imaging study.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Quantitative CT of Normal Lung Parenchyma and Small Airways Disease Topologies are Associated With COPD Severity and Progression.medRxiv : the preprint server for health sciences · 2023Article
- Inspiratory and Expiratory Computed Tomography Imaging Clusters Reflect Functional Characteristics in Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023Article
- Comparison of hyperpolarizedFrontiers in physiology · 2023Article
- The Severity of Functional Small Airway Disease in Military Personnel with Constrictive Bronchiolitis as Measured by Quantitative Computed Tomography.American journal of respiratory and critical care medicine · 2022Article
- Feasibility of function-guided lung treatment planning with parametric response mapping.Journal of applied clinical medical physics · 2021Article
- Interstitial Lung Abnormalities: State of the Art.Radiology · 2021Review
- Progression of Emphysema and Small Airways Disease in Cigarette Smokers.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2021Article
- Improved detection of air trapping on expiratory computed tomography using deep learning.PloS one · 2021Article
- Multicenter evaluation of parametric response mapping as an indicator of bronchiolitis obliterans syndrome after hematopoietic stem cell transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020Article
- Correcting Nonpathological Variation in Longitudinal Parametric Response Maps of CT Scans in COPD Subjects: SPIROMICS.Tomography (Ann Arbor, Mich.) · 2017Article
- Lung densitometry: why, how and when.Journal of thoracic disease · 2017Review
- CT-Based Local Distribution Metric Improves Characterization of COPD.Scientific reports · 2017Article
- Parametric Response Mapping as an Imaging Biomarker in Lung Transplant Recipients.American journal of respiratory and critical care medicine · 2017Article
- Parametric response mapping on chest computed tomography associates with clinical and functional parameters in chronic obstructive pulmonary disease.Respiratory medicine · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Parametric response mapping (PRM) of inspiration and expiration computed tomography (CT) images improves the radiological phenotyping of chronic obstructive pulmonary disease (COPD). PRM classifies individual voxels of lung parenchyma as normal, emphysematous, or nonemphysematous air trapping. In this study, bias and noise characteristics of the PRM methodology to CT and clinical procedures were evaluated to determine best practices for this quantitative technique. Twenty patients of varying COPD status with paired volumetric inspiration and expiration CT scans of the lungs were identified from the baseline COPD-Gene cohort. The impact of CT scanner manufacturer and reconstruction kernels were evaluated as potential sources of variability in PRM measurements along with simulations to quantify the impact of inspiration/expiration lung volume levels, misregistration, and image spacing on PRM measurements. Negligible variation in PRM metrics was observed when CT scanner type and reconstruction were consistent and inspiration/expiration lung volume levels were near target volumes. CT scanner Hounsfield unit drift occurred but remained difficult to ameliorate. Increasing levels of image misregistration and CT slice spacing were found to have a minor effect on PRM measurements. PRM-derived values were found to be most sensitive to lung volume levels and mismatched reconstruction kernels. As with other quantitative imaging techniques, reliable PRM measurements are attainable when consistent clinical and CT protocols are implemented.
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