Fetal Cardiac Magnetic Resonance Imaging in Left-Sided Diaphragmatic Hernia
Bibliographic record
Abstract
BACKGROUND: Magnetic resonance imaging (MRI) has become an essential complementary imaging tool during pregnancy. CASE SUMMARY: In this case of left-sided congenital diaphragmatic hernia (CDH), fetal cardiac MRI at 29 gestational weeks showed subtle septal bounce and reduced biventricular ejection fraction. On follow-up MRI at 37 gestational week, the right ventricle was significantly dilated (right-to-left ventricle index: 1.9:1.0), indicating increasing right ventricular strain and raising the suspicion of pulmonary hypertension (PH). Post delivery, the newborn required ventilation and circulatory support. Diagnosis of PH was confirmed by echocardiography. After surgical repair, the clinical course was unremarkable. DISCUSSION: This case illustrates that fetal cardiac MRI can provide a prenatal assessment of cardiovascular sequelae of CDH, thereby informing perinatal care. TAKE-HOME MESSAGES: Fetal MRI in CDH is used to accurately quantify fetal lung volume and to detect associated malformations. Additional cardiac assessment can indicate right ventricular strain and should raise suspicion of PH and prompt information of perinatal management.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".