<scp>MDT</scp> lung cancer care: Input from the <scp>S</scp>urgical <scp>O</scp>ncologist
Bibliographic record
Abstract
Although there have been many advancements in the multidisciplinary management of non-small cell lung cancer (NSCLC), surgery remains the primary modality of choice for resectable lung cancer when the patient is able to tolerate lung resection physiologically. There have been recent advances in surgical diagnosis and treatment of lung cancer. Increasing use of low-dose computed tomography (CT) screening for lung cancer has resulted in increased detection of small peripheral nodules or semi-solid ground glass opacities. Here, we review different modalities of localization techniques that have been used to aid surgical excisional biopsy when needle biopsy has failed to provide tissue diagnosis. We also report on the current debates regarding the use of sublobar resections for Stage I NSCLC as well as the surgical management of locally advanced NSCLC. Finally, we discuss the complex surgical management of T4 NSCLC lung cancers.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".