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PMID: 28812203 Published · ppublish English Journal Article

Assessment of methodologies to calculate intraventricular pressure differences in computational models and patients.

Medical & biological engineering & computing ·Vol. 56 ·No. 3 ·2018-03-00 ·页码 469-481

Londono-Hoyos FJ, Swillens A, Van Cauwenberge J, Meyers B, Koppula MR, Vlachos P, Chirinos JA, Segers P

Abstract

Intraventricular pressure differences (IVPDs) govern left ventricular (LV) efficient filling and are a significant determinant of LV diastolic function. Our primary aim is to assess the performance of available methods (color M-mode (CMM) and 1D/2D MRI-based methods) to determine IVPDs from intracardiac flow measurements. Performance of three methods to calculate IVPDs was first investigated via an LV computational fluid dynamics (CFD) model. CFD velocity data were derived along a modifiable scan line, mimicking ultrasound/MRI acquisition of 1D (IVPDCMM/IVPD1D MRI) and 2D (IVPD2D MRI) velocity-based IVPD information. CFD pressure data (IVPDCFD) was used as a ground truth. Methods were also compared in a small cohort (n = 13) of patients with heart failure with preserved ejection fraction (HFpEF). In silico data showed a better performance of the IVPD2D MRI approach: RMSE values for a well-aligned scan line were 0.2550 mmHg (IVPD1D MRI), 0.0798 mmHg (IVPD2D MRI), and 0.2633 mmHg (IVPDCMM). In vivo data exhibited moderate correlation between techniques. Considerable differences found may be attributable to different timing of measurements and/or integration path. CFD modeling demonstrated an advantage using 2D velocity information to compute IVPDs, and therefore, a 2D MRI-based method should be favored. However, further studies are needed to support the clinical significance of MRI-based computation of IVPDs over CMM.

Keywords
Cardiac color M-mode ultrasound Diastolic function Heart failure with preserved ejection fraction Intracardiac flow computational modeling Intraventricular pressure differences Magnetic resonance imaging
MeSH 主题词
Computer Simulation Heart Failure/physiopathology Hemodynamics Humans Hydrodynamics Magnetic Resonance Imaging Models, Cardiovascular Stroke Volume Ventricular Pressure/physiology
作者与单位
共 8 位作者,点击展开单位 / ORCID
Londono-Hoyos Francisco J
bioMMeda Research Group, Institute of Biomedical Technology (IBiTech), iMinds Ghent University, Ghent, Belgium. [email protected]. | Hospital of the University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. [email protected].
Swillens Abigail
bioMMeda Research Group, Institute of Biomedical Technology (IBiTech), iMinds Ghent University, Ghent, Belgium.
Van Cauwenberge Joris
bioMMeda Research Group, Institute of Biomedical Technology (IBiTech), iMinds Ghent University, Ghent, Belgium.
Meyers Brett
Department of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Koppula Maheswara Reddy
Hospital of the University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Vlachos Pavlos
Department of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Chirinos Julio A
Hospital of the University of Pennsylvania, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Segers Patrick
bioMMeda Research Group, Institute of Biomedical Technology (IBiTech), iMinds Ghent University, Ghent, Belgium.
Article Info
Journal
Medical & biological engineering & computing
Abbr.
Med Biol Eng Comput
ISSN
1741-0444
Corresponding email
Published
2018-03-00
电子出版
2017-00-16
页码
469-481
Language
English
Country/Region
United States
NLM ID
7704869
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