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A prospective study to validate pulmonary blood mass changes on non-contrast 4DCT in pulmonary embolism patients.
- Source :
-
Clinical imaging [Clin Imaging] 2021 Oct; Vol. 78, pp. 179-183. Date of Electronic Publication: 2021 Mar 05. - Publication Year :
- 2021
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Abstract
- Purpose: Limited diagnostic options exist for patients with suspected pulmonary embolism (PE) who cannot undergo CT-angiogram (CTA). CT-ventilation methods recover respiratory motion-induced lung volume changes as a surrogate for ventilation. We recently demonstrated that pulmonary blood mass change, induced by tidal respiratory motion, is a potential surrogate for pulmonary perfusion. In this study, we examine blood mass and volume change in patients with PE and parenchymal lung abnormalities (PLA).<br />Methods: A cross-sectional analysis was conducted on a prospective, cohort-study with 129 consecutive PE suspected patients. Patients received 4DCT within 48 h of CTA and were classified as having PLA and/or PE. Global volume change (VC) and percent global pulmonary blood mass change (PBM) were calculated for each patient. Associations with disease type were evaluated using quantile regression.<br />Results: 68 of 129 patients were PE positive on CTA. Median change in PBM for PE-positive patients (0.056; 95% CI: 0.045, 0.068; IQR: 0.051) was smaller than that of PE-negative patients (0.077; 95% CI: 0.064, 0.089; IQR: 0.056), with an estimated difference of 0.021 (95% CI: 0.003, 0.038; p = 0.0190). PLA was detected in 57 (44.2%) patients. Median VC for PLA-positive patients (1.26; 95% CI: 1.22, 1.30; IQR: 0.15) showed no significant difference from PLA-negative VC (1.25; 95% CI: 1.21, 1.28; IQR: 0.15).<br />Conclusions: We demonstrate that pulmonary blood mass change is significantly lower in PE-positive patients compared to PE-negative patients, indicating that PBM derived from dynamic non-contrast CT is a potentially useful surrogate for pulmonary perfusion.<br /> (Copyright © 2021. Published by Elsevier Inc.)
Details
- Language :
- English
- ISSN :
- 1873-4499
- Volume :
- 78
- Database :
- MEDLINE
- Journal :
- Clinical imaging
- Publication Type :
- Academic Journal
- Accession number :
- 33839544
- Full Text :
- https://doi.org/10.1016/j.clinimag.2021.02.023