Metastatic tracheal melanoma misdiagnosed as chronic obstructive pulmonary disease: A case report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction/objectives: Metastatic tracheal melanoma is rare, with fewer than 20 reported cases. This case describes a 62-year-old female with a history of cutaneous melanoma excised 10 years prior, initially misdiagnosed with severe COPD. We highlight the diagnostic challenges when rare metastases mimic common conditions. Description: Diagnosed with COPD based on dyspnoea and spirometry, the patient later developed worsening symptoms, including haemoptysis, requiring hospitalisation. A chest radiograph was unremarkable, but CT pulmonary angiogram revealed a 1.6 × 1.3 cm tracheal mass. Bronchoscopy confirmed 80-90 % luminal stenosis due to a friable mass, which biopsy identified as tracheal melanoma (BRAF V600E positive). She underwent tumor debulking via rigid bronchoscopy, followed by radiation therapy and vemurafenib. Discussion: This case represents the longest interval between cutaneous melanoma and tracheal metastasis. Spirometry showed a COPD-like scooping pattern rather than the expected large airway obstruction, delaying diagnosis. New-onset severe airflow obstruction in patients with minimal smoking history should prompt alternative considerations. Advanced imaging and bronchoscopy are essential for early detection. Treatment includes surgical debulking, radiation, and targeted therapy, with follow-up showing symptom resolution and normalised spirometry. Conclusion: Metastatic tracheal melanoma can mimic COPD, leading to misdiagnosis. The prolonged latency highlights the need for vigilance in melanoma follow-up. Rare airway lesions should be considered in atypical COPD presentations, reinforcing the importance of advanced diagnostic tools for timely identification and treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 it