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CT predicts intraprocedural hemodynamics with computational fluid dynamics in TMVR-ineligible patients undergoing M-TEER
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Background
Hemodynamic outcomes in patients undergoing transcatheter mitral edge-to-edge repair (M-TEER) are difficult to predict. Computational fluid dynamics (CFD) is frequently used in biomedical engineering to simulate blood flow patterns under various conditions.
Objectives
We developed a standardized workflow for individualized CFD analyses to predict postinterventional mitral valve gradients and residual regurgitation following TEER.
Methods
Twenty patients with severe mitral regurgitation (MR) from two high-volume centers underwent full-cycle cardiac computed tomography before intervention. Based on the specific valve morphology, individualized CFD simulations were performed to calculate MR volumes prior to intervention and estimate hemodynamics after M-TEER.
Results
CFD analyses (mean age 80 ± 4 years, 55% male) showed excellent correlation between baseline proximal isovelocity surface area (PISA)-based MR volumes, median 40 ml [interquartile range (IQR): 30–49 ml], and CFD-based calculation, median 30 ml (IQR: 27–54 ml;
R
= 0.917;
P
< 0.001), as well as between baseline effective regurgitant orifice area (EROA) assessed in transesophageal echocardiography (TEE) and CFD-measured EROA (
R
= 0.869;
P
< 0.001). After device implantation, the correlation between intraprocedural TEE-measured and CFD-estimated residual MR (
R
= 0.949;
P
< 0.001) and EROA (
R
= 0.841;
P
< 0.001) remained robust. Median postinterventional diastolic pressure gradient (TEE) was 2.8 mmHg (IQR: 1.7–4.0), which closely correlated with the CFD-estimated gradient of 1.4 mmHg (IQR: 2.3–4.5,
R
= 0.905;
P
< 0.001).
Conclusions
This is the first study to use a standardized CFD workflow for MR evaluation in patients undergoing TEER. In the future, CFD-based analyses may serve as a key diagnostic tool for procedural planning of TEER.
Title: CT predicts intraprocedural hemodynamics with computational fluid dynamics in TMVR-ineligible patients undergoing M-TEER
Description:
Background
Hemodynamic outcomes in patients undergoing transcatheter mitral edge-to-edge repair (M-TEER) are difficult to predict.
Computational fluid dynamics (CFD) is frequently used in biomedical engineering to simulate blood flow patterns under various conditions.
Objectives
We developed a standardized workflow for individualized CFD analyses to predict postinterventional mitral valve gradients and residual regurgitation following TEER.
Methods
Twenty patients with severe mitral regurgitation (MR) from two high-volume centers underwent full-cycle cardiac computed tomography before intervention.
Based on the specific valve morphology, individualized CFD simulations were performed to calculate MR volumes prior to intervention and estimate hemodynamics after M-TEER.
Results
CFD analyses (mean age 80 ± 4 years, 55% male) showed excellent correlation between baseline proximal isovelocity surface area (PISA)-based MR volumes, median 40 ml [interquartile range (IQR): 30–49 ml], and CFD-based calculation, median 30 ml (IQR: 27–54 ml;
R
= 0.
917;
P
< 0.
001), as well as between baseline effective regurgitant orifice area (EROA) assessed in transesophageal echocardiography (TEE) and CFD-measured EROA (
R
= 0.
869;
P
< 0.
001).
After device implantation, the correlation between intraprocedural TEE-measured and CFD-estimated residual MR (
R
= 0.
949;
P
< 0.
001) and EROA (
R
= 0.
841;
P
< 0.
001) remained robust.
Median postinterventional diastolic pressure gradient (TEE) was 2.
8 mmHg (IQR: 1.
7–4.
0), which closely correlated with the CFD-estimated gradient of 1.
4 mmHg (IQR: 2.
3–4.
5,
R
= 0.
905;
P
< 0.
001).
Conclusions
This is the first study to use a standardized CFD workflow for MR evaluation in patients undergoing TEER.
In the future, CFD-based analyses may serve as a key diagnostic tool for procedural planning of TEER.
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