Diagnostic utility of peripheral endobronchial ultrasound with electromagnetic navigation bronchoscopy in peripheral lung nodules
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: This study aimed to investigate the diagnostic utility of peripheral endobronchial ultrasound (pEBUS) followed by as-needed electromagnetic navigation bronchoscopy (ENB) for sampling peripheral lung nodules. METHODS: The study was a single-arm, prospective cohort study of patients with peripheral lung nodules. Peripheral lung lesion localization was initially performed using a pEBUS probe with guide sheath. If localization failed with pEBUS alone, ENB was used to help identify the lesion. Transbronchial biopsy, bronchial brush, transbronchial needle aspiration and bronchial washings were performed. RESULTS: Sixty patients were enrolled with average lesion size of 27 mm and mean pleural distance of 20 mm. Lesions were found with pEBUS alone in 75% of cases. The addition of ENB improved lesion localization to 93%. However, diagnostic yield for pEBUS alone and pEBUS with ENB were 43% and 50%, respectively. Factors predicting need for ENB use included smaller lesion size and absence of an air bronchus sign on computed tomography. CONCLUSIONS: ENB improves localization of lung lesions after unsuccessful pEBUS but is often not sufficient to ensure confirmation of a specific diagnosis. Technical improvements in sampling methods could improve the diagnostic yield.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 it