The Feasibility of EBUS-Guided TBNA Through the Pulmonary Artery in Highly Selected Patients
Bibliographic record
Abstract
BACKGROUND: The use of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for diagnosis and staging of benign and malignant thoracic disease has rapidly evolved into the standard of care. The lymph node stations that can be reached by EBUS and EUS are substantially more than those that can be accessed by mediastinoscopy. In rare cases, the clinician is faced with extraordinary circumstances in which a minimally invasive approach to the lymph nodes in station 5 is required. We present our findings in 10 cases, at 7 different institutions, where EBUS was instrumental in reaching a diagnosis. METHODS: We retrospectively collected 10 cases where EBUS-TBNA was performed through the pulmonary artery in an attempt to reach the territory of lymph node station 5. All cases were performed by experienced interventional pulmonologists at 7 tertiary care centers in the United States and Canada. We describe the patients' demographics, comorbidities, complications, and cytopathology. RESULTS: A definitive diagnosis was reached in 9 of the 10 patients. One case showed atypical cells and required a confirmatory Chamberlain procedure. No complications occurred as a result of careful transpulmonary artery needle aspiration. CONCLUSIONS: This multicenter case series suggests that transpulmonary artery needle aspiration guided by EBUS is possible and safe in the hands of experienced interventional pulmonologists. It is important to recognize that this is not an alternative to left VATS or Chamberlain procedure, but a last resort procedure.
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.
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 | 0.001 |
| 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 | 0.001 |
| 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".