CFD-derived hemodynamics from cardiac magnetic resonance imaging demonstrated promise as an important predictor of adverse events in single ventricle patients after the Fontan procedure. The dataset was contributed by author Wei, Zhenglun 'Alan' from the Fontan_Outcome_Study organization and was last updated on May 6, 2026.
Use Cases
- Predict adverse clinical events based on CFD-derived hemodynamic parameters.
- Identify risk factors for single ventricle patients after Fontan surgery using hemodynamic data.
- Train machine learning models for patient outcome stratification from cardiac imaging features.
Strengths
- Data is derived from cardiac magnetic resonance imaging, a clinical standard.
- Focus on a specific, high-risk patient population (single ventricle patients after Fontan).
- Last update recorded as May 6, 2026, indicating recent activity.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Fontan_Outcome_Study organization and author Wei, Zhenglun 'Alan'.
- Collection Method
- Likely derived from clinical cardiac magnetic resonance imaging and computational fluid dynamics simulations.
- Time Range
- null
- Freshness
- Last updated 2026-05-06 14:38:05; freshness should be verified.
- Geography
- null