Abstract 220: Magnetic Resonance Imaging in Children with Cardiac Complications of Kawasaki Disease: a Comparison with Echocardiography and Conventional Coronary Angiography
Bibliographic record
Abstract
Background: MRI is a potentially sensitive, specific, and non-invasive imaging modality that may be used in the detection and monitoring of KD cardiac complications. Its utility relative to the more commonly used imaging modalities of echocardiography and conventional coronary angiography has not been optimally established. Methods: We compared concomitant clinical data, echocardiography, MRI, and angiography findings for children with coronary artery aneurysms. Results: MRI and angiograms were performed within 1 month of each other for 15 patients (mean age 7 years, 80% male) at a mean of 4.2 years after diagnosis. Coronary artery bypass grafting (CABG) had been performed in 8 patients (53%). For 7 patients (47%), aneurysms were seen on MRI that were not seen on echocardiography. Wall motion abnormalities were reported in 7 subjects (47%). These were characterized on both echocardiography and MRI for all. MRI identified perfusion defects in 6 patients (40%) and evidence of myocardial scar in 9 patients (60%). Extra-cardiac aneurysms were identified in 5 patients (33%) on MRI. MRI showed strong correlation with angiograms regarding aneurysm location. MRI was limited in the assessment of bypass grafts in 4 of the 8 (50%) patients who had undergone CABG. Three patients (20%) had stenosis or thrombosis identified on angiography that were not appreciated on MRI. Angiograms provided added information regarding flow, stenoses, vascular morphology and/or calcification in 8 patients (53%). Collateral artery anatomy that was not appreciated on echo and MRI were reported on angiograms in 3 patients (20%). Conclusions: MRI provides a valuable and comprehensive assessment of the cardiac sequelae of KD, though is limited in its assessment of CABG, stenoses, and thrombosis. MRI may be an important component of non-invasive imaging surveillance of children with important coronary artery involvement.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".