An assessment of the correlation between robust CT-derived ventilation and pulmonary function test in a cohort with no respiratory symptoms.
Document Type
Article
Publication Date
2-1-2021
Publication Title
The British journal of radiology
Abstract
OBJECTIVE: To evaluate CT-ventilation imaging (CTVI) within a well-characterized, healthy cohort with no respiratory symptoms and examine the correlation between CTVI and concurrent pulmonary function test (PFT).
METHODS: CT scans and PFTs from 77 Caucasian participants in the NORM dataset (clinicaltrials.gov NCT00848406) were analyzed. CTVI was generated using the robust Integrated Jacobian Formulation (IJF) method. IJF estimated total lung capacity (TLC) was computed from CTVI. Bias-adjusted Pearson's correlation between PFT and IJF-based TLC was computed.
RESULTS: IJF- and PFT-measured TLC showed a good correlation for both males and females [males: 0.657, 95% CI (0.438-0.797); females: 0.667, 95% CI (0.416-0.817)]. When adjusting for age, height, smoking, and abnormal CT scan, correlation moderated [males: 0.432, 95% CI (0.129-0.655); females: 0.540, 95% CI (0.207-0.753)]. Visual inspection of CTVI revealed participants who had functional defects, despite the fact that all participant had normal high-resolution CT scan.
CONCLUSION: In this study, we demonstrate that IJF computed CTVI has good correlation with concurrent PFT in a well-validated patient cohort with no respiratory symptoms.
ADVANCES IN KNOWLEDGE: IJF-computed CTVI's overall numerical robustness and consistency with PFT support its potential as a method for providing spatiotemporal assessment of high and low function areas on volumetric non-contrast CT scan.
Volume
94
Issue
1118
First Page
20201218
Recommended Citation
Nair GB, Galban CJ, Al-Katib S, Podolsky R, van den Berge M, Stevens C, Castillo E. An assessment of the correlation between robust CT-derived ventilation and pulmonary function test in a cohort with no respiratory symptoms. Br J Radiol. 2021 Feb 1;94(1118):20201218. doi: 10.1259/bjr.20201218. Epub 2020 Dec 15. PMID: 33320729; PMCID: PMC7934322.
DOI
10.1259/bjr.20201218
ISSN
1748-880X
PubMed ID
33320729