Systems for lung volume standardization during static and dynamic MDCT-based quantitative assessment of pulmonary structure and function.

Academic Radiology
Matthew K FuldEric A Hoffman

Abstract

Multidetector-row computed tomography (MDCT) has emerged as a tool for quantitative assessment of parenchymal destruction, air trapping (density metrics), and airway remodeling (metrics relating airway wall and lumen geometry) in chronic obstructive pulmonary disease (COPD) and asthma. Critical to the accuracy and interpretability of these MDCT-derived metrics is the assurance that the lungs are scanned during a breathhold at a standardized volume. A computer monitored turbine-based flow meter system was developed to control patient breathholds and facilitate static imaging at fixed percentages of the vital capacity. Because of calibration challenges with gas density changes during multibreath xenon CT, an alternative system was required. The design incorporated dual rolling seal pistons. Both systems were tested in a laboratory environment and human subject trials. The turbine-based system successfully controlled lung volumes in 32/37 subjects, having a linear relationship for CT measured air volume between repeated scans: for all scans, the mean and confidence interval of the differences (scan1-scan2) was -9 mL (-169, 151); for total lung capacity alone 6 mL (-164, 177); for functional residual capacity alone, -23 mL (-172, 1...Continue Reading

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Citations

Nov 17, 2015·American Journal of Respiratory and Critical Care Medicine·Krishna S IyerEric A Hoffman
Apr 23, 2014·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·James D QuirkDmitriy A Yablonskiy
Jun 9, 2016·Pediatric Pulmonology·Elizabeth SalamonHarm A W M Tiddens
Aug 3, 2016·American Journal of Respiratory and Critical Care Medicine·Jered P SierenUNKNOWN SPIROMICS Research Group
Jan 4, 2017·Thorax·Sandeep BodduluriUNKNOWN COPDGene Investigators
Jul 10, 2018·American Journal of Respiratory and Critical Care Medicine·Xiaoping WuSimon L F Walsh
Mar 7, 2017·Journal of Computational Physics·Shinjiro MiyawakiChing-Long Lin
Mar 11, 2017·The Annals of Applied Statistics·Kun ChenKung-Sik Chan

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