Rapid On-site Evaluation (ROSE) in Capillary Pull Versus Suction Biopsy Technique With Endobronchial Ultrasound-transbronchial Needle Aspiration (EBUS-TBNA)
Bibliographic record
Abstract
BACKGROUND: Suction and capillary pull are 2 biopsy techniques used in endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). Although these techniques have been shown to perform comparably in terms of overall diagnostic yield, we hypothesized that the capillary pull technique would be associated with improved rapid on-site evaluation (ROSE) adequacy rates thus allowing for a shorter procedure time. METHODS: One hundred eighteen patients undergoing EBUS-TBNA for any indication were randomized to suction or capillary pull techniques for the first biopsy pass; the technique used for all subsequent passes was based on operator preference and was not recorded. The first pass was subjected to ROSE and an adequacy assessment was given. ROSE slides were also scored for cellularity of diagnostic/lesional cells and blood contamination. The overall procedure time was also recorded. RESULTS: There were no significant differences between suction and capillary pull techniques in terms of ROSE adequacy rates. Cellularity of diagnostic/lesional cells and blood contamination scores were also comparable. There was no significant difference in procedure time for the 2 techniques. CONCLUSION: This study suggests no differences in ROSE outcomes between suction and capillary pull techniques in EBUS-TBNA. The technique used should therefore be left to the discretion of the operator.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".