Clinical Efficacy and Complications of Uterine Artery Embolization in Symptomatic Uterine Fibroids
Bibliographic record
Abstract
We decided to evaluate the efficacy and complications of uterine artery embolization (UAE) in patients with symptomatic uterine fibroids. Sixty-five premenopausal patients, without considering the fibroids size and its location, were treated by bilateral UAE. At baseline and after 3, 6, and 12 months MRI was obtained to determine the uterine length and fibroid diameter. In addition, symptoms of the patients were documented at these follow-up schedules. UAE was successful in 62 (95.4%) cases. Complete infarction rate of the fibroid was 83.1%. After 12 months, the uterine length showed a decrease of 55.7% (mean of 9.4 cm) and the diameter of the dominant fibroid revealed a decrease of 52.1% (mean of 3.4 cm). Menorrhagia improved in 45 cases (91.8%), abdominal mass in 24 cases (82.28%), urinary symptoms in 17 cases (85%), pelvic pain in 21 cases (84%), and dysmenorrhea in 25 cases (80.6%). At final follow-up performed after one year, complete infarction of the fibroma was demonstrated in 49 patients (83.1%). Two cases achieved successful pregnancy in the one year follow-up period. Five patients developed post-embolization syndrome which necessitated admission to the hospital. Twenty-two patients presented and complained of pain for which outpatient pain management was done. UAE was a successful treatment for uterine fibroids that preserved the uterus, had minimal complications, and required short hospitalization and recovery.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".