Pelvic Puzzles: Imaging Non-Traumatic Emergencies of the Female Pelvis: A Comprehensive Review
Bibliographic record
Abstract
Acute non-traumatic pelvic pain represents a frequent and complex diagnostic dilemma in pre-menopausal females presenting to the emergency department due to overlapping symptomatology across pregnancy and non-pregnancy related causes. Radiologists play a pivotal role in expediting accurate diagnosis and guiding appropriate management in these potentially life-threatening scenarios. This review provides an approach to workup and imaging selection in these patients, emphasizing the necessity of serum β-hCG testing and the central role of transabdominal and transvaginal pelvic ultrasound. An overview of female pelvic anatomy is provided. Using a multimodality imaging approach, early pregnancy related complications such as ectopic pregnancy, retained products of conception, and gestational trophoblastic disease and non-pregnancy related causes of acute pelvic pain such as ovarian torsion, ruptured ovarian cysts, pelvic inflammatory disease, endometriosis, uterine vascular malformation, ovarian vein thrombosis, ovarian hyperstimulation syndrome, and intrauterine device complications are reviewed. Finally, we propose an algorithmic approach to imaging selection and interpretation tailored to the clinical scenario, laboratory findings (notably β-hCG status), and patient demographics. This structured framework aims to support radiologists in efficiently narrowing the differential diagnosis and optimizing patient outcomes in acute, non-traumatic pelvic emergencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".