Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging study

Amar Kavuri; Fong Chi Ho; Mobina Ghojogh-Nejad; Saman Sotoudeh-Paima; Ehsan Samei; W. Paul Segars; Ehsan Abadi

doi:10.1117/12.3006833

3 April 2024 Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging study

Amar Kavuri, Fong Chi Ho, Mobina Ghojogh-Nejad, Saman Sotoudeh-Paima, Ehsan Samei, W. Paul Segars, Ehsan Abadi

Author Affiliations +

Proceedings Volume 12927, Medical Imaging 2024: Computer-Aided Diagnosis; 129270B (2024) https://doi.org/10.1117/12.3006833
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

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 endinspiration 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 photoncounting 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.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Amar Kavuri, Fong Chi Ho, Mobina Ghojogh-Nejad, Saman Sotoudeh-Paima, Ehsan Samei, W. Paul Segars, and Ehsan Abadi "Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging study", Proc. SPIE 12927, Medical Imaging 2024: Computer-Aided Diagnosis, 129270B (3 April 2024); https://doi.org/10.1117/12.3006833

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