Metastasis of lung adenocarcinoma to the pituitary gland
Bibliographic record
Abstract
Pituitary metastasis (PM) is rare occurrence and accounts for <1% of all intracranial metastatic lesions. In this study, we highlight the importance of considering atypical sites for lung adenocarcinoma metastasis by presenting a case of a 54-year-old male who was diagnosed with PM 15 months after being diagnosed with stage IV lung adenocarcinoma with metastasis to the spine, pelvis, left frontal lobe, and right occipital lobe. He was on a prolonged course of chemotherapy during those 15 months and received palliative radiation for his brain metastasis with subsequent remission after 5 months following his initial diagnosis. The pituitary lesion was picked up as an incidental finding on a routine staging magnetic resonance imaging (MRI) 10 months after his brain metastasis remission. The patient successfully underwent trans-sphenoidal pituitary lesion resection. This case emphasizes the importance of routine surveillance and examination of atypical sites of metastasis even in patients undergoing a prolonged course of chemotherapy.
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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) | 0.000 | 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".