P23.06: The feasibility of uterine fibroid treatment with advanced ultrasound‐guided <scp>HIFU</scp> system: preliminary report
Bibliographic record
Abstract
The aim of the study is to evaluate the feasibility of outpatient non-invasive treatment of uterine fibroids with a novel portable 3D steering US-guided HIFU device Alpius 900. The prospective study was approved by local Bioethics Committee and written informed consent was obtained from each participant. Patients were included into the study after T1 and T2 MR imaging of pelvic area. Only hypovascular intramural and submucosal fibroids up to 10–12 cm of mean diameter met the selection criteria. All enrolled individuals were treated by HIFU system on outpatient basis according to manufacturer instructions. Uterine fibroid size, localisation and density were evaluated by MR imaging 1–7 days before treatment as well as 1 and 3 months after treatment procedure. MRI was not required on the day of procedure. Alteration of uterine bleeding intensity, quality of life and pain was assessed during the study period by menstrual assessment chart, SF-36, UFS-QOL, VAS and McGill questionnaires respectively. Preliminary results of first European efficacy trial of portable ultrasound-guided HIFU system are presented. Obtained data demonstrate degree of uterine fibroid volume decline. Patients reported improvement of blood loss volume, pain and quality of life score that was partially correlated with fibroid volume decrease. Treatment procedure was painless or accompanied by mild discomfort in majority of patients. Occurrence of pain during and after the treatment session was related to localisation of fibroids and subcutaneous layer thickness. A new portable HIFU system is feasible alternative for treatment of uterine fibroids in women who want to avoid surgery. Patients treated with device benefit by avoiding hospitalisation, major surgery complications, blood loss and sick leave. It seems that medical insurance systems should consider ultrasound treatment with Alpius 900 as a cost-effective first line treatment in selected patients.
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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 | 0.001 |
| 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) | 0.003 | 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".