RATIONALE AND OBJECTIVES: 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. MATERIALS AND METHODS: 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. RESULTS: 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, 126). The dual-piston system successfully controlled lung volume in 31/41 subjects. Study failures related largely to subject noncompliance with verbal instruction and gas leaks around the mouthpiece. CONCLUSION: We demonstrate the successful use of a turbine-based system for static lung volume control and demonstrate its inadequacies for dynamic xenon CT studies. Implementation of a dual-rolling seal spirometer has been shown to adequately control lung volume for multibreath wash-in xenon CT studies. These systems coupled with proper patient coaching provide the tools for the use of CT to quantitate regional lung structure and function. The wash-in xenon CT method for assessing regional lung function, although not necessarily practical for routine clinical studies, provides for a dynamic protocol against which newly emerging single breath, dual-energy xenon CT measures can be validated.
RATIONALE AND OBJECTIVES: 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. MATERIALS AND METHODS: 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 xenonCT, an alternative system was required. The design incorporated dual rolling seal pistons. Both systems were tested in a laboratory environment and human subject trials. RESULTS: 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, 126). The dual-piston system successfully controlled lung volume in 31/41 subjects. Study failures related largely to subject noncompliance with verbal instruction and gas leaks around the mouthpiece. CONCLUSION: We demonstrate the successful use of a turbine-based system for static lung volume control and demonstrate its inadequacies for dynamic xenonCT studies. Implementation of a dual-rolling seal spirometer has been shown to adequately control lung volume for multibreath wash-in xenonCT studies. These systems coupled with proper patient coaching provide the tools for the use of CT to quantitate regional lung structure and function. The wash-in xenonCT method for assessing regional lung function, although not necessarily practical for routine clinical studies, provides for a dynamic protocol against which newly emerging single breath, dual-energy xenonCT measures can be validated.
Authors: A Dirksen; J H Dijkman; F Madsen; B Stoel; D C Hutchison; C S Ulrik; L T Skovgaard; A Kok-Jensen; A Rudolphus; N Seersholm; H A Vrooman; J H Reiber; N C Hansen; T Heckscher; K Viskum; J Stolk Journal: Am J Respir Crit Care Med Date: 1999-11 Impact factor: 21.405
Authors: Denise R Aberle; Christine D Berg; William C Black; Timothy R Church; Richard M Fagerstrom; Barbara Galen; Ilana F Gareen; Constantine Gatsonis; Jonathan Goldin; John K Gohagan; Bruce Hillman; Carl Jaffe; Barnett S Kramer; David Lynch; Pamela M Marcus; Mitchell Schnall; Daniel C Sullivan; Dorothy Sullivan; Carl J Zylak Journal: Radiology Date: 2010-11-02 Impact factor: 11.105
Authors: J Stolk; A Dirksen; A A van der Lugt; J Hutsebaut; J Mathieu; J de Ree; J H Reiber; B C Stoel Journal: Invest Radiol Date: 2001-11 Impact factor: 6.016
Authors: Sandeep Bodduluri; Surya P Bhatt; Eric A Hoffman; John D Newell; Carlos H Martinez; Mark T Dransfield; Meilan K Han; Joseph M Reinhardt Journal: Thorax Date: 2017-01-02 Impact factor: 9.139
Authors: Jered P Sieren; John D Newell; R Graham Barr; Eugene R Bleecker; Nathan Burnette; Elizabeth E Carretta; David Couper; Jonathan Goldin; Junfeng Guo; MeiLan K Han; Nadia N Hansel; Richard E Kanner; Ella A Kazerooni; Fernando J Martinez; Stephen Rennard; Prescott G Woodruff; Eric A Hoffman Journal: Am J Respir Crit Care Med Date: 2016-10-01 Impact factor: 21.405
Authors: Kun Chen; Eric A Hoffman; Indu Seetharaman; Feiran Jiao; Ching-Long Lin; Kung-Sik Chan Journal: Ann Appl Stat Date: 2017-01-05 Impact factor: 2.083
Authors: David A Lynch; John H M Austin; James C Hogg; Philippe A Grenier; Hans-Ulrich Kauczor; Alexander A Bankier; R Graham Barr; Thomas V Colby; Jeffrey R Galvin; Pierre Alain Gevenois; Harvey O Coxson; Eric A Hoffman; John D Newell; Massimo Pistolesi; Edwin K Silverman; James D Crapo Journal: Radiology Date: 2015-05-11 Impact factor: 11.105