Image-Guided Percutaneous Biopsy for Pancreatic Lesions: 10-Year Experience in a Tertiary Cancer Center
Bibliographic record
Abstract
INTRODUCTION: Image-guided biopsy is an important tool in the diagnosis of solid pancreatic masses. This study aims to evaluate the accuracy and complications associated with this procedure. METHODS: We conducted a retrospective cohort study of all patients referred to interventional radiology for pancreatic biopsy at our institution from July 2004-July 2015. Two radiologists independently reviewed the images, technical aspects, and clinical characteristics. RESULTS: A total of 82 patients underwent pancreatic biopsy using a combination of computed tomography (CT) and/or ultrasound guidance. Mean age was 67.8 years with 56% males. Most lesions were located in the head (63.4%), followed by the tail (19.5%), and the body (17.1%). The procedures were performed using the anterior (79.3%), lateral (7.3%), or posterior (13.4%) approach, with direct access in 85.4% of the patients and indirect access (transgastric or transhepatic) in 14.6% of cases. Core biopsies were obtained in 81.7% of cases, and fine needle aspiration was performed in 18.3% of cases. Needle size varied from 18-22 gauge (median 20 gauge). The median number of samples collected was 3 (range 1-8). A conclusive result was obtained in 82.9% of cases. There were 9 (11%) patients with minor complications: minor bleeding, pain, and inadvertent bowel puncture with no clinical repercussion. There were no deaths or major complications. CONCLUSION: Percutaneous image-guided pancreatic mass biopsy can be performed safely with excellent accuracy. Our results are comparable with endoscopic biopsy/aspiration, and percutaneous biopsy may be used as an alternative, particularly at institutions where endoscopy facilities are limited.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".