Sonographically Guided Percutaneous Liver Biopsy in Infants: A Retrospective Review
Bibliographic record
Abstract
OBJECTIVE: The purpose of our study was to assess the technical success and complication rate of sonographically guided percutaneous liver biopsies performed in infants under 1 year old at a tertiary pediatric center. MATERIALS AND METHODS: Retrospective analysis of 65 biopsies performed in 61 infants between January 1999 and December 2003 was conducted. Data collected included patient demographics; details of the biopsy procedure including indication, needle type and size, number of passes, and samples; pathology results; and procedure-related complications. RESULTS: The 61 infants studied included 37 males and 24 females with a mean age of 119 days (age range, 7-348 days; median age, 83 days) and a mean weight of 4.5 kg (1.9-8.3 kg). A total of 65 biopsies were performed in these 61 infants. General anesthesia was used in 66.1% of procedures. An 18-gauge needle was used in 47 (72.3%) procedures. Coaxial technique was used in seven procedures, and five biopsy tracts were embolized. In 63 of 65 procedures, the mean number of passes was 1.8. In two procedures, using a coaxial technique, 11 and 12 passes were made. One biopsy was considered technically unsuccessful, and 64 of 65 (98.5%) of the biopsies provided adequate tissue for pathologic analysis. There were three (4.6%) major complications related to bleeding: one requiring a blood transfusion, one requiring surgery, and one arteriobiliary fistula requiring transarterial embolization. Three (4.6%) minor complications also occurred. There were no deaths. CONCLUSION: Sonographically guided percutaneous liver biopsy in infants is a good and effective diagnostic tool. The complication rate, however, even when performed by an experienced physician, is not insignificant in this age group of patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".