Feasibility study on constructing individualized computational fluid dynamics models for organic mitral valve regurgitation using ultrasound-CT multimodal fusion imaging
Objective:To explore the feasibility and effectiveness of combining ultrasound and CT multimodal fusion imaging with computational fluid dynamics(CFD)models in evaluating patients with organic mitral valve regurgitation,aiming to provide more accurate and comprehensive diagnostic information for clinical decision-making.Methods:The study included 15 patients with organic mitral valve regurgitation treated in Renmin Hospital of Wuhan University from March 2022 to September 2023,aged from 58 to 72 years.Ultrasound and cardiac CT scan images were post-processed and fused to construct individualized CFD models.Anatomical and flow field measurements were taken within the model and compared with ultrasound data to assess the model's anatomical accuracy and flow field accuracy.Anatomical parameters included mitral valve anterior leaflet length(AL),posterior leaflet length(PL),anterior-posterior diameter of the annulus(ANN_AP),width of mitral valve prolapse(PW),and width of the prolapse gap(GAP);flow field parameters included PISA radius(PISAR),maximum regurgitation velocity(VMAX),regurgitation velocity-time integral(VTI),contraction neck(VC),effective regurgitation orifice area(EROA),and regurgitation volume(RV).Results:The com-bination of ultrasound-CT fusion imaging and CFD modeling demonstrated high accuracy in anatomical reconstruction and hemodynamic characteristics modeling.The fusion model showed no statistical dif-ference in anatomical parameters except for GAP(P=0.03)as compared with ultrasound data(P＞0.05);hemodynamic parameters showed no statistical difference except for VC(P=0.002)as compared with ultrasound measurements(P＞0.05).Bland-Altman analysis indicated good consisten-cy between the ultrasound-CT fusion model and ultrasound measurements.Conclusion:The anatomi-cal model based on ultrasound-CT multimodal fusion can construct a relatively accurate computational fluid model of organic mitral valve regurgitation reflux,offering potential clinical value in the assess-ment and treatment of mitral valve diseases.
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