US-guided Core Biopsy of the Spleen in Children
Bibliographic record
Abstract
PURPOSE: To evaluate the safety, diagnostic yield, and clinical benefits of performing ultrasonography (US)-guided percutaneous splenic core biopsy in children. MATERIALS AND METHODS: US-guided splenic core biopsy was performed in 30 children aged 6 months to 15.3 years (mean, 7.0 years), with focal lesions in 27 patients and homogeneous splenomegaly in three. Four patients underwent repeat biopsy to identify changes in splenic disease. Four types of biopsy needles were used in this series. General anaesthesia was used in 21 patients and conscious sedation in nine. Medical records were reviewed to assess diagnostic accuracy, influence on treatment, and biopsy-related complications. RESULTS: All biopsies were performed without complication. Among the 30 biopsies, an accurate diagnosis was obtained in 25 (83%), a false-negative result was obtained in two (7%), and three (10%) were nondiagnostic. All conclusive results influenced treatment decisions. The mean number of needle passes was 2.7 per patient (range, 2-5 passes). Use of needles was 50%-100% successful in the acquisition of adequate tissue cores. Use of the 18-gauge needle was always successful in the safe acquisition of adequate tissue, with a maximum of three passes. CONCLUSION: US-guided splenic core biopsy is a minimally invasive, simple, and safe procedure for use in children. It provides relatively high diagnostic accuracy while minimizing complications when compared with alternative, more invasive procedures.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".