A Rare and Challenging Presentation of an Inflammatory Myofibroblastic Tumour: A Case Report
Bibliographic record
Abstract
Inflammatory Myofibroblastic Tumours (IMTs) are rare pulmonary neoplasms, accounting for less than 1% of lung tumours. Patients present with non-specific symptoms and diverse radiological findings. A 32-year-old female presented with progressively worsening cough, haemoptysis, low-grade fever and increasing shortness of breath. Chest X-ray revealed a total right lung collapse. Further imaging revealed a mass obstructing the right mainstem bronchus. A staged debulking procedure using rigid bronchoscopy was performed, followed by the insertion of a silicone stent to maintain airway patency. Endobronchial growth turned out to be an Inflammatory Myofibroblastic tumour. The patient showed significant improvement in respiratory function and lung re-expansion. Adjuvant therapy with ALK inhibitor was initiated. IMTs, while benign histologically, may recur or metastasise, requiring long-term monitoring. Bronchoscopic interventions offer effective treatment for localised disease, while surgery is preferred for extensive tumours. Early diagnosis, genetic profiling and a multidisciplinary approach are key for optimal outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".