Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging study Article Swipe
Amar Kavuri
,
Fong Chi Ho
,
Mobina Ghojoghnejad
,
Saman Sotoudeh‐Paima
,
Ehsan Samei
,
W. Paul Segars
,
Ehsan Abadi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1117/12.3006833
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1117/12.3006833
Parametric response mapping (PRM) is a voxel-based quantitative CT imaging biomarker that measures the severity of chronic obstructive pulmonary disease (COPD) by analyzing both inspiratory and expiratory CT scans. Although PRM-derived measurements have been shown to predict disease severity and phenotyping, their quantitative accuracy is impacted by the variability of scanner settings and patient conditions. The aim of this study was to evaluate the variability of PRM-based measurements due to the changes in the scanner types and configurations. We developed 10 human chest models with emphysema and air-trapping at end-inspiration and end-expiration states. These models were virtually imaged using a scanner-specific CT simulator (DukeSim) to create CT images at different acquisition settings for energy-integrating and photon-counting CT systems. The CT images were used to estimate PRM maps. The quantified measurements were compared with ground truth values to evaluate the deviations in the measurements. Results showed that PRM measurements varied with scanner type and configurations. The emphysema volume was overestimated by 3 ± 9.5 % (mean ± standard deviation) of the lung volume, and the functional small airway disease (fSAD) volume was underestimated by 7.5±19 % of the lung volume. PRM measurements were more accurate and precise when the acquired settings were photon-counting CT, higher dose, smoother kernel, and larger pixel size. This study demonstrates the development and utility of virtual imaging tools for systematic assessment of a quantitative biomarker accuracy.
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- Type
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- OA Status
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https://doi.org/10.1117/12.3006833Digital Object Identifier
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Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging studyWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-04-02Full publication date if available
- Authors
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Amar Kavuri, Fong Chi Ho, Mobina Ghojoghnejad, Saman Sotoudeh‐Paima, Ehsan Samei, W. Paul Segars, Ehsan AbadiList of authors in order
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https://doi.org/10.1117/12.3006833Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/11100024Direct OA link when available
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Parametric statistics, Computer science, Lung function, Function (biology), Artificial intelligence, Lung, Mathematics, Statistics, Medicine, Evolutionary biology, Biology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| referenced_works | https://openalex.org/W2114086696, https://openalex.org/W2746720180, https://openalex.org/W2896441775, https://openalex.org/W2087387762, https://openalex.org/W2088698687, https://openalex.org/W2313778452, https://openalex.org/W2008585312, https://openalex.org/W4252921722, https://openalex.org/W1990368410, https://openalex.org/W2220611974, https://openalex.org/W3015379061, https://openalex.org/W4310525787, https://openalex.org/W2771590529, https://openalex.org/W6854589791, https://openalex.org/W6838933432, https://openalex.org/W2766554293, https://openalex.org/W1970928383, https://openalex.org/W6815603092, https://openalex.org/W4200409436, https://openalex.org/W4220798841, https://openalex.org/W3197941794, https://openalex.org/W4312154588, https://openalex.org/W6725307205, https://openalex.org/W4283328413, https://openalex.org/W4383218413, https://openalex.org/W2904574677, https://openalex.org/W2571384411, https://openalex.org/W4291238401, https://openalex.org/W4295507183 |
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