A Case of Squamous Cell Carcinoma Developed in Chronic Tuberculous Empyema Following Therapeutic Extrapleural Pneumothorax
Bibliographic record
Abstract
A 72-year-old woman was admitted to our hospital for persistent right-sided chest pain for 6 months and osteolytic changes in some ribs on chest x-rays. The patient had a past history of pulmonary tuberculosis at 19 years of age and underwent treatment for right-sided therapeutic extrapulmonary pneumothorax. A computed tomography (CT) scan of her chest demonstrated a ring-enhanced tumor adjacent to the chronic empyema, which invaded the thoracic wall and eroded some ribs. A poorly differentiated squamous cell carcinoma (SCC) was pathologically diagnosed by percutaneous CT-guided biopsy. Radiation therapy with a total dose of 74.4 Gy was performed instead of surgical resection considering poor pulmonary function. The efficacy of the treatment was confirmed by positron emission tomography (PET) scanning with 18-fluorodeoxyglucose (18FDG), which demonstrated a reduction both in the size and the standardized uptake value (SUV) at the hot spot at the invasive site of the tumor to the thoracic wall. This case was recognized as SCC developed in chronic tuberculous empyema since the tumor had only contacted with the empyema and the lung parenchyma surrounding the empyema was intact. J Med Cases. 2011;2(2):48-50 doi: https://doi.org/10.4021/jmc125w
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 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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".