Extended uniportal video-assisted thoracic surgery for lung cancer: is it feasible?
Bibliographic record
Abstract
Since the first description of uniportal video-assisted thoracic surgery (U-VATS) (or single-port) lobectomy, several centers in Asia and Europe rapidly adopted this technique as a standard approach for treatment of early stage non-small cell lung cancer (NSCLC). Despite the controversies regarding feasibility and completeness of resection, thoracic surgeons in high volume centers keep pushing the limits to perform very complex procedures also known as "extended resections" through minimally invasive surgery. Published series and case reports confirm the viability of U-VATS in highly complex surgical cases such as pneumonectomy, chest wall resection and bronchoplasty, which require experience and technical ability to be performed through a 3-6 cm single incision. In this article, the authors would like to present several clinical indications of locally advanced NSCLC and the technical aspects to accomplish an extended resection through U-VATS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".