Disharmonious Patterns of Heterotaxy and Isomerism
Bibliographic record
Abstract
BACKGROUND: It is advocated that heterotaxy should be segregated into right or left isomerism according to atrial appendage morphology. However, atrial situs determination is often based on the pattern of associated findings rather than on atrial morphology itself, which can be difficult to define. The objective was to assess how often concordant patterns of isomerism classified by atrial appendage morphology, bronchopulmonary pattern, and splenic status are breached using cardiac magnetic resonance or computed tomography. The secondary objective was to determine the feasibility of defining atrial appendage morphology using cardiac magnetic resonance or computed tomography. METHODS AND RESULTS: Retrospective review of 114 pediatric patients (median, 2.4 years; range, 1 day-17.9 years) with heterotaxy who underwent cardiac magnetic resonance or computed tomography was performed to evaluate atrial appendage, bronchopulmonary, and visceral organ arrangements. Atrial appendage and splenic anatomy were not definable in 17 of 114 (15%) and 4 of 114 (3.5%) patients, respectively. In the remaining 93 patients, 39% had classic right isomerism (bilateral right atrial appendages, right bronchopulmonary pattern, and asplenia) and 40% had classic left isomerism (bilateral left atrial appendages, left bronchopulmonary pattern, and polysplenia). Classic pattern of isomerism was breached in 20 of 93 (21.5%) patients: 13 (65%) displayed incongruent abdominal situs, 5 (25%) incongruent bronchial situs, 1 (5%) had discrepant appendage morphology, and 1 (5%) incongruent situs at all levels. CONCLUSIONS: Atrial appendage morphology is difficult to assess and not always indicative of bronchopulmonary or abdominal situs. Discordance between bronchopulmonary branching, atrial appendage arrangement, and splenic status was identified in >20% patients with heterotaxy. Independent description of each organ system is required when arrangements are disharmonious among different organ systems.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".