Angiographic Embolization of a Postpartum Vulvovaginal Hematoma in a Patient with Situs Inversus Totalis: An Effective Second-Line Treatment
Bibliographic record
Abstract
Situs inversus totalis is a rare congenital anomaly where asymmetrical positioning of internal organs may affect the surgical and radiological management of certain conditions. Vulvovaginal hematoma is a life-threatening complication of vaginal delivery whose primary treatment usually consists of incision and drainage of the hematoma and ligation of the responsible vessels, followed by wound packing. Failure of these measures to control the bleeding was previously considered as an indication for laparotomy to perform bilateral hypogastric artery ligation and, if needed, a hysterectomy. Relative to major abdominal surgery, selective percutaneous angiographic embolization offers considerable advantages and significant less morbidity. Indeed, angiographic embolization is routinely used as a measure to control refractory pelvic bleeding, though the literature and experience in women with situs inversus totalis are scarce. In this paper, we report a case of postpartum vulvovaginal hematoma in a patient with situs inversus, refractory to conventional treatment, where arteriographic embolization was successfully used to control the bleeding. The management of this obstetrical complication and the use of this minimally invasive technique are also reviewed. To the best of our knowledge, this is the first report in the literature describing the feasibility of this technique in a patient with situs inversus totalis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".