Abstract 15868: Title: Accuracy of Fetal Echocardiography in the Antenatal Diagnosis of Three Common Conotruncal Defects
Bibliographic record
Abstract
Introduction: The prenatal diagnosis of conotruncal defects (CTDs) has improved over the past decade, particularly with inclusion of outflow tract imaging at routine ultrasound. Appropriate prenatal counseling for CTDs demands an accurate diagnosis, as even more subtle cardiac pathology could complicate clinical outcomes. We sought to determine the anatomical accuracy of fetal echocardiography in evaluating common CTDs and factors that contribute to accuracy. Methods: All cases of tetralogy of Fallot(TOF), double outlet right ventricle(DORV) and truncus arteriosus(TA) encountered in our institution from 2007-2018 were reviewed. Discrepancies in anatomical findings between prenatal (most accurate exam) and postnatal (echo/surgery) or autopsy exams were categorized as: C1) no difference C2) minor difference with no impact on outcome (e.g.aberrant right subclavian artery), C3) minor difference that could make a minor difference to the delivery plan or surgery (e.g.branch pulmonary artery stenosis), C4) major difference that changes the course of the pregnancy, delivery or surgical planning (e.g.ductal dependency). Results: Of the 255 CTD cases, 162 had prenatal and postnatal and/or autopsy data available. Of the 162, 107(65.6%) fit C1, 35(21.5%) C2, 12(7.4%) C3, and 8(5.5%) C4. The greatest accuracy was observed in TOF, with 69/71(97.2%) in C1 and C2 versus 56/69(81.2%) in DORV and 16/22(72.7%) in TA(p=0.003). Excluding 5 cases at 10-16weeks, there was a tendency towards a greater proportion in C1 and C2 when examined at 17-23 weeks (60/64, 93.4%) versus 24-32 weeks (50/57, 87.7%) and >32 weeks (28/36, 77.8%) (p=0.06). Era of assessment also revealed a difference with 43/55(78.2%) of studies performed from 2007-2011 in C1 and C2 versus 99/107(92.5%) from 2012-2018 (p=0.01).When we compared pregnancies with one versus serial exams, we observed a lower proportion of C4 cases from 9.6% to 2.7%, respectively. In those with serial exams, 20% had achieved C1 or C2 only at serial exam. Conclusions: The diagnostic accuracy of fetal echocardiography in CTDs is generally high, especially for TOF and when performed at 17-24weeks. There has been significant improvement in accuracy since 2011. Serial exams potentially improve diagnostic accuracy.
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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 | 0.002 | 0.014 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".