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4D magnetic resonance flow imaging for estimating pulmonary vascular resistance in pulmonary hypertension
- Source :
- Journal of Magnetic Resonance Imaging. 44:914-922
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Purpose To develop an estimate of pulmonary vascular resistance (PVR) using blood flow measurements from 3D velocity-encoded phase contract magnetic resonance imaging (here termed 4D MRI). Materials and Methods In all, 17 patients with pulmonary hypertension (PH) and five controls underwent right heart catheterization (RHC), 4D and 2D Cine MRI (1.5T) within 24 hours. MRI was used to compute maximum spatial peak systolic vorticity in the main pulmonary artery (MPA) and right pulmonary artery (RPA), cardiac output, and relative area change in the MPA. These parameters were combined in a four-parameter multivariate linear regression model to arrive at an estimate of PVR. Agreement between model predicted and measured PVR was also evaluated using Bland–Altman plots. Finally, model accuracy was tested by randomly withholding a patient from regression analysis and using them to validate the multivariate equation. Results A decrease in vorticity in the MPA and RPA were correlated with an increase in PVR (MPA: R2 = 0.54, P < 0.05; RPA: R2 = 0.75, P < 0.05). Expanding on this finding, we identified a multivariate regression equation that accurately estimates PVR (R2 = 0.94, P < 0.05) across severe PH and normotensive populations. Bland–Altman plots showed 95% of the differences between predicted and measured PVR to lie within 1.49 Wood units. Model accuracy testing revealed a prediction error of ∼20%. Conclusion A multivariate model that includes MPA relative area change and flow characteristics, measured using 4D and 2D Cine MRI, offers a promising technique for noninvasively estimating PVR in PH patients. J. MAGN. RESON. IMAGING 2016;44:914–922.
- Subjects :
- Multivariate statistics
medicine.medical_specialty
Cardiac output
medicine.diagnostic_test
business.industry
Magnetic resonance imaging
Blood flow
030204 cardiovascular system & hematology
medicine.disease
Right pulmonary artery
Pulmonary hypertension
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
Bayesian multivariate linear regression
Internal medicine
Anesthesia
Vascular resistance
Cardiology
Medicine
Radiology, Nuclear Medicine and imaging
business
Subjects
Details
- ISSN :
- 10531807
- Volume :
- 44
- Database :
- OpenAIRE
- Journal :
- Journal of Magnetic Resonance Imaging
- Accession number :
- edsair.doi...........7fdcfc575fd087da20ee169167bc7137