Key result
A novel 4D Flow CMR-based particle tracking algorithm demonstrated excellent agreement with phase-contrast MRI (< 5% deviation), and patient-specific CFD models predicted flow dynamics with high accuracy (< 8% deviation).
Why the study?
Long-term management of Fontan patients is hindered by the lack of a reliable method to quantify hepatic flow distribution postoperatively and the absence of a validated, patient-specific CFD workflow.
Does a 4D Flow CMR-based particle tracking algorithm and CFD workflow accurately quantify hepatic flow distribution in Fontan patients compared to 2D phase contrast MRI?
Observational (n=5)
No
Does a 4D Flow CMR-based particle tracking algorithm and CFD workflow accurately quantify hepatic flow distribution in Fontan patients compared to 2D phase contrast MRI?
Effect estimate: < 5% deviation
Integrating 4D Flow CMR with patient-specific CFD accurately quantifies hepatic flow distribution in Fontan patients, offering a non-invasive tool to improve surgical planning and predict long-term outcomes.
May aid non-invasive hepatic flow assessment in Fontan patients; leaves open impact on surgical planning and outcomes.
The Fontan procedure, a palliative surgery for single-ventricle heart defects, creates a non-physiological circulation that often leads to complications such as pulmonary arteriovenous malformations (PAVMs), thrombosis, and energy loss. As the number of Fontan patients surviving into adulthood continues to grow, precise understanding and improved monitoring of patient-specific hemodynamics is critical for long-term management. Two key challenges hinder progress: 1) the lack of a reliable method to quantify hepatic flow distribution (HFD) from post-operative imaging, a critical determinant of outcomes, and 2) the absence of a validated, patient-specific computational fluid dynamics (CFD) workflow to guide surgical personalization. This study addresses these gaps by integrating a novel 4D Flow CMR-based particle tracking algorithm with an image-based CFD workflow to quantify and predict Fontan hemodynamics, including HFD, validated with in-vivo data. The 4D Flow-based particle tracking algorithm offers a precise, non-invasive tool for visualizing HFD, demonstrating excellent agreement with phase-contrast MRI (< 5% deviation). Patient-specific CFD models further predicted flow dynamics with high accuracy, validated against in vivo data (< 8% deviation). Using this integrated workflow, we uncovered uneven mixing between the inferior vena cava and hepatic blood flow, challenging assumptions of uniform mixing and highlighting the critical role of local flow dynamics in determining long-term outcomes. By enabling non-invasive assessment and improved surgical planning, this validated CFD workflow, combined with 4D Flow particle tracking, offers immediate clinical application. With CFD-based surgical planning gaining traction, this approach establishes a new standard for personalized management for patients undergoing treatment for congenital heart diseases. Summary This study presents a validated workflow integrating 4D Flow CMR and patient-specific CFD to accurately quantify hepatic flow distribution and enhance surgical planning, addressing key challenges in the treatment and long-term management of Fontan patients with single-ventricle disease.
No takes yet. Share an insight, caveat, or question.
Sahni et al. (2024) conducted an observational in Single-ventricle heart disease post-Fontan procedure (n=5). 4D Flow CMR-based particle tracking and patient-specific CFD workflow vs. 2D phase-contrast MRI and in vivo data was evaluated on Deviation in flow distribution compared to 2D phase-contrast MRI (< 5% deviation). A novel 4D Flow CMR-based particle tracking algorithm demonstrated excellent agreement with phase-contrast MRI (< 5% deviation), and patient-specific CFD models predicted flow dynamics with high accuracy (< 8% deviation).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: