scholarly journals Comparison of 4D Flow MRI to 2D Flow MRI in the pulmonary arteries in healthy volunteers and patients with pulmonary hypertension

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0224121 ◽  
Author(s):  
Malte Maria Sieren ◽  
Clara Berlin ◽  
Thekla Helene Oechtering ◽  
Peter Hunold ◽  
Daniel Drömann ◽  
...  
Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Ani Oganesyan ◽  
Alex J Barker ◽  
Benjamin S Frank ◽  
Dunbar D IVY ◽  
Lorna Browne ◽  
...  

Introduction: Cor Pulmonale or right ventricular (RV) dysfunction due to pulmonary disease is an expected complication of COPD resulting from increased afterload mediated by hypoxic pulmonary vasoconstriction as well as the destruction of the pulmonary vascular bed. Early detection of elevated RV afterload has been previously demonstrated by visualization of abnormal flow patterns in the proximal pulmonary arteries. Prior quantitative analysis of helicity in the pulmonary arteries of pulmonary hypertension patients has demonstrated a strong association between helicity and increased RV afterload. Hypothesis: Patients with COPD will have abnormal pulmonary flow as evaluated by 4D-Flow MRI and associated with RV function and pulmonary arterial stiffness. Methods: Patients with COPD (n=15) (65yrs ± 6) and controls (n=10) (58yrs ± 9) underwent 4D-Flow MRI to calculate helicity (Figure 1A). The helicity was calculated in 2 segments: 1) the main pulmonary artery (MPA) and 2) along the RV outflow tract (RVOT) - MPA axis. Main pulmonary arterial stiffness was measured using the relative area change (RAC). Results: COPD patients had decreased helicity relative to healthy controls in the MPA (19.4±7.8 vs 32.8±15.9 s -2 , P=0.007) (Figure 1B). Additionally, COPD patients had reduced helicity along the RVOT-MPA axis (33.2±9.0 vs 43.5±8.3 s -2 , P=0.010). The helicity measured in the MPA was associated with RV end-systolic volume (R=0.59, P = 0.002), RVEF (R=0.631, P<0.001), RAC (R=-0.61, P=0.001). e combined helicity along the MPA-RVOT axis was associated with RVEF (R=0.74, P<0.001), RVESV (R=-0.57, P=0.004), and RAC (R=0.42, P=0.005). Conclusion: Patients with COPD show quantitatively abnormal flow hemodynamics, when compared with healthy controls, as assessed by 4D-Flow MRI. A strong association between helicity along the MPA-RV outflow tract axis and RV function suggests that 4D-Flow MRI might be a sensitive tool in evaluating RV - pulmonary arterial coupling in COPD.


2020 ◽  
Vol 85 (2) ◽  
pp. 721-733
Author(s):  
Stephanie Wiesemann ◽  
Sebastian Schmitter ◽  
Aylin Demir ◽  
Marcel Prothmann ◽  
Carsten Schwenke ◽  
...  

2021 ◽  
pp. 110035
Author(s):  
Jan Robert Kroeger ◽  
Marc Stackl ◽  
Kilian Weiss ◽  
Bettina Baeßler ◽  
Felix Gerhardt ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 58
Author(s):  
Ali Nahardani ◽  
Simon Leistikow ◽  
Katja Grün ◽  
Martin Krämer ◽  
Karl-Heinz Herrmann ◽  
...  

(1) Background: Pulmonary arterial hypertension (PAH) is a serious condition that is associated with many cardiopulmonary diseases. Invasive right heart catheterization (RHC) is currently the only method for the definitive diagnosis and follow-up of PAH. In this study, we sought a non-invasive hemodynamic biomarker for the diagnosis of PAH. (2) Methods: We applied prospectively respiratory and cardiac gated 4D-flow MRI at a 9.4T preclinical scanner on three different groups of Sprague Dawley rats: baseline (n = 11), moderate PAH (n = 8), and severe PAH (n = 8). The pressure gradients as well as the velocity values were analyzed from 4D-flow data and correlated with lung histology. (3) Results: The pressure gradient between the pulmonary artery and vein on the unilateral side as well as the time-averaged mean velocity values of the small pulmonary arteries were capable of distinguishing not only between baseline and severe PAH, but also between the moderate and severe stages of the disease. (4) Conclusions: The current preclinical study suggests the pulmonary arteriovenous pressure gradient and the time-averaged mean velocity as potential biomarkers to diagnose PAH.


2018 ◽  
Vol 31 (5) ◽  
pp. 653-663 ◽  
Author(s):  
Roel L. F. van der Palen ◽  
Arno A. W. Roest ◽  
Pieter J. van den Boogaard ◽  
Albert de Roos ◽  
Nico A. Blom ◽  
...  

2019 ◽  
Vol 50 (3) ◽  
pp. 982-993 ◽  
Author(s):  
Kevin Bouaou ◽  
Ioannis Bargiotas ◽  
Thomas Dietenbeck ◽  
Emilie Bollache ◽  
Gilles Soulat ◽  
...  

Author(s):  
Joe F. Juffermans ◽  
Jos J.M. Westenberg ◽  
Pieter J. van den Boogaard ◽  
Arno A.W. Roest ◽  
Hans C. van Assen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document