SCAI Position Statement on Intracardiac Echocardiography to Guide Structural Heart Disease Interventions
Bibliographic record
Abstract
As structural heart disease interventions rapidly evolve, demand for minimally invasive intraprocedural imaging techniques has increased. Intracardiac echocardiography (ICE) has emerged as a valuable imaging modality, offering real-time, high-resolution visualization of cardiac structures without the need for general anesthesia. This position statement from the Society for Cardiovascular Angiography & Interventions outlines the clinical applications, advantages, limitations, and implementation strategies for ICE in guiding transcatheter structural heart disease procedures. The document details standardized ICE imaging protocols and views for interventions involving the mitral, tricuspid, and pulmonary valves, as well as left atrial appendage occlusion atrial septal defect, and patent foramen ovale closure. It emphasizes the importance of operator training, physician workflows, and institutional readiness for successful ICE integration. The statement also advocates for updated reimbursement models that reflect the complexity and value of ICE-guided procedures and calls for further research comparing ICE and transesophageal echocardiography outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.026 | 0.025 |
| Insufficient payload (model declined to judge) | 0.012 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".