A Novel Treatment for Cervical and Cesarean Section Scar Pregnancies by Transvaginal Injection of Absolute Ethanol to Trophoblasts: Efficacy in 19 Cases
Bibliographic record
Abstract
STUDY OBJECTIVE: To evaluate the efficacy of a nonsurgical treatment for cervical pregnancy (CP) and cesarean section scar pregnancy (CSP). DESIGN: Retrospective clinical study (Canadian Task Force classification III). SETTING: Private assisted reproductive technology practice. PATIENTS: Nineteen women with CP (n = 16) or CSP (n = 3), including 6 patients with positive fetal heartbeat. INTERVENTION: Transvaginal local injection of absolute ethanol (AE) into the hyperechoic ring (lacunar space) around the gestational sac under ultrasound guidance. MEASUREMENTS AND MAIN RESULTS: Serum beta-human chorionic gonadotropin (β-hCG) was measured at frequent intervals, and ultrasound and/or magnetic resonance imaging was used to observe the gestational sac. In 9 patients, the serum β-hCG level was effectively reduced with a single AE injection at 2 hours. In the remaining 10 patients, the level decreased but then increased in 4 and slowly decreased in the other 6; all of these 10 patients required 2 to 5 repeat AE injections. In all patients, serum β-hCG level was reduced by 50% within 3 days and decreased to <10% of the initial level within 14 days. In 18 patients (95%), the level was decreased to 1.0 mIU/mL within 40 days. Seven patients were treated on an outpatient basis. Twelve patients received no anesthesia. Five patients subsequently became pregnant, and each had a live birth. There was no recurrent CP or CSP. The procedure was successful in all 19 patients. CONCLUSION: This procedure is an effective treatment for CP or CSP that could be used in place of conventional surgical interventions and medical treatment using MTX.
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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 | 0.001 |
| 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) | 0.001 | 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".