A case series of 15 women inadvertently exposed to magnetic resonance imaging in the first trimester of pregnancy
Bibliographic record
Abstract
Information on the safety of first-trimester exposure to diagnostic magnetic resonance imaging (MRI) remains scarce. We are reporting a case series of 15 consecutive pregnant women who underwent an MRI scan with a 1.5-Tesla scanner of either the head (n = 5), cervical spine (n = 4), lumbar spine (n = 4), pelvis (n = 1) or knee (n = 1) in their first trimester of pregnancy (mean gestational age at exposure: 3.8 weeks). Patients were prospectively followed up until the completion of their pregnancy. Two cases received gadolinium as a contrast agent. There were 15 babies born alive. Of them, one baby was born with the left kidney not visualised by ultrasound examination, and another one with an overlapping toe in the right foot. None of these abnormalities were considered by the authors related to the MRI exposure. In conclusion, our study provides support to published preliminary evidence regarding the safety of MRI in the first-trimester pregnant women.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".