Lung Point in a Case of Bronchoscopy Lung Volume Reduction: Consider Its Mimics Before Inserting the Tube
Bibliographic record
Abstract
Point of Care Ultrasound (POCUS) is used to evaluate many clinical scenarios. Chest POCUS has been integrated as a part of a clinical protocol to assess patients with lung pathology 1. The ability to detect pneumothorax using chest POCUS has been shown to be superior to chest radiography, with specificity reported to be as high as 100% when a lung point sign is identified. In addition to improved diagnostic accuracy, chest POCUS has the added benefits of ease of access and absence of ionizing radiation. Here we describe a case where a patient with a high pre-test probability for pneumothorax had a detected lung point sign, but pneumothorax was ruled out via Computed Tomography (CT). This case highlights the importance of considering the mimics of the lung point sign. This case also shows a unique and interesting finding related to pleural movement restriction post-Bronchoscopic lung volume reduction (BLVR).
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) | 0.000 | 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 | 0.001 |
| 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".