Uterine Arteriovenous Malformations
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to describe the sonographic features of uterine arteriovenous malformations (AVMs) and to describe the role and clinical outcome after transcatheter arterial embolization of symptomatic uterine AVMs. METHODS: In our institution, over a 4-year period, symptomatic uterine AVMs were diagnosed in 21 women. Endovaginal sonography with gray scale, color, and spectral Doppler imaging was performed on all patients. Fourteen patients required therapeutic angiography/embolization to control bleeding. These 14 patients had follow-up endovaginal sonography 24 hours after the procedure. RESULTS: The sonographic gray scale findings of uterine AVMs were nonspecific. The most common finding was subtle myometrial heterogeneity (n = 14), whereas other patients had small anechoic spaces in the myometrium (n = 7). Color Doppler sonography showed a tangle of vessels with multidirectional high-velocity flow that produced a "color mosaic" pattern. Spectral Doppler analysis showed arteriovenous shunting with high-velocity, low-resistance flow. Fourteen patients required transcatheter arterial embolization to control bleeding. Thirteen of 14 patients had no sonographic evidence of a residual AVM 24 hours after the procedure. One of 14 patients had a residual AVM requiring additional embolization. One patient had recurrent bleeding at 4 months and required further embolization. The remaining 7 patients were treated conservatively. CONCLUSIONS: Endovaginal sonography is the imaging modality of choice in patients with abnormal uterine bleeding. Routine use of color and spectral Doppler sonography allows one to confidently make the correct diagnosis. Transcatheter arterial embolization is an excellent treatment option. Endovaginal sonography should be used to monitor postembolization outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.005 | 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".