Femoral–facial syndrome: Prenatal diagnosis and clinical features. Report of three cases
Bibliographic record
Abstract
The objective of our article is to illustrate the earliest prenatal sonographic diagnosis of femoral-facial syndrome (FFS) and to illustrate the spectrum of clinical manifestations of this condition. We present serial sonographic evaluation with 3D evaluation in two fetuses diagnosed prenatally with FFS and the postnatal findings in three patients (one fetus following pregnancy interruption and two newborns one of whom was diagnosed prenatally) with FFS. The two patients with prenatally diagnosed FFS were found to have femoral shortening and characteristic facial features, one 12 weeks of gestation, and one at 15 weeks of gestation. The sonographic findings in the two prenatally diagnosed patients were confirmed after delivery. We also present a third patient who was diagnosed at delivery in whom the diagnosis was missed at a routine prenatal sonogram at 19 weeks of gestation. The patients reported herein expand the clinical spectrum of FFS. The utility of sonographic evaluation in diagnosis of the facial appearance and of the bony abnormalities in this condition is emphasized.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".