Assessment of the New Thin Convex Probe Endobronchial Ultrasound Bronchoscope and the Dedicated Aspiration Needle
Bibliographic record
Abstract
BACKGROUND: Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) allows for accurate minimally invasive mediastinal lymph node staging of lung cancer. The current convex probe EBUS (CP-EBUS) has limitations in the access to certain N1 lymph nodes (lobar and segmental) because of its size. The aim of this study was to assess the new thin CP-EBUS (TCP-EBUS) and an aspiration needle for sampling of N1 lymph nodes in a porcine model. METHODS: The prototype TCP-EBUS (BF-Y0046, Olympus Medical Systems Corp.) with a thinner tip (5.9 mm) and larger bending angle (170 degrees upward) was used. Accessibility, operability, and TBNA capability of the TCP-EBUS were assessed and compared with the current CP-EBUS using porcine lungs. The endoscopic visibility range and the maximum reach were evaluated at the left upper lobe bronchus, tracheobronchus, and right lower lobe bronchus. The prototype aspiration needle (Olympus Medical Systems Corp.) was used for EBUS-TBNA. RESULTS: In all of the evaluated bronchi (n=9), the TCP-EBUS had a greater reach (14.7 mm in the endoscopic visibility range, 16.0 mm in the maximum reach) than the current CP-EBUS. The TCP-EBUS was able to visualize 1 to 3 distal bifurcations farther compared with the current CP-EBUS. Adequate lymph node sampling from lobar and segmental lymph nodes was possible using the aspiration needle. CONCLUSIONS: The TCP-EBUS has improved accessibility to peripheral bronchi with excellent operability and is capable of sampling lobar and segmental lymph nodes using the dedicated aspiration needle.
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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 | 0.000 | 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 | 0.001 |
| 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".