Endobronchial ultrasound-guided transbronchial needle aspiration mediastinal lymph node staging in malignant pleural mesothelioma
Bibliographic record
Abstract
BACKGROUND: Given poor survival of patients with malignant pleural mesothelioma (MPM) and extrapleural nodal metastasis, pre-operative mediastinal lymph node (LN) staging has been advocated. Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) may be a useful pre-operative adjunct in patients with MPM. This study aims to assess performance of EBUS-TBNA for mediastinal LN staging in MPM. METHODS: A retrospective chart review of patients with diagnosis of MPM referred to the mesothelioma program at a tertiary Canadian cancer center between January 1, 2012 and December 31, 2014 who received mediastinal LN staging with EBUS-TBNA. RESULTS: Forty-eight patients were included. Average age was 70 years (range, 48-84 years). Mesothelioma subtypes were as follows: epithelioid 34/48 (70.8%), sarcomatoid 4/48 (8.3%), biphasic 7/48 (14.6%) and other 3/48 (6.3%). Stage distribution was as follows: I 18.8%, II 10.4%, III 47.9%, and IV 22.9%. On average 3.4 LNs were sampled per patient (range, 1-5). The mean short axis of a sampled LN was 6.8±3.8 mm. Rapid on Site Evaluation (ROSE) was available in 75.0% (36/48) of the assessments. Prevalence of N2/N3 disease was 35.4% (17/48). EBUS-TBNA sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy were: 16.7%, 100%, 100%, 68.8%, and 70.6%, respectively. EBUS-TBNA mediastinal LN staging prevented unnecessary surgery in 18.8% (9/48 patients) by detection of N2/N3 disease (8 patients) and metastatic secondary malignancy (1 patient). There were no EBUS-TBNA related complications. CONCLUSIONS: EBUS-TBNA mediastinal LN staging may impact significantly management of patients with MPM by detecting mediastinal metastatic disease, therefore, preventing morbidity and mortality of surgical management.
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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 | 0.000 | 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 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".