Lobar Torsion Following Open Repair of Type B Aortic Dissection and Thoracoabdominal Aortic Aneurysm in a Patient with Marfan Syndrome
Bibliographic record
Abstract
Introduction: Lobar torsion is a rare, challenging diagnosis that requires a high index of suspicion and prompt investigation and management. Detection and urgent fixation or lung resection are critical to avoid catastrophic sequelae of lung necrosis, bronchopleural fistulae, and death. Report: A case of lobar torsion following open repair of a type B aortic dissection and thoraco-abdominal aortic aneurysm in a patient with Marfan syndrome is presented. After a non-specific constellation of symptoms, the diagnosis was confirmed with computed tomography and bronchoscopic findings and the patient underwent detorsion and plication of a torted, yet viable, left upper lobe on post-operative day 6. The patient is currently being followed with serial imaging to follow a necrotic consolidation of the left upper lobe. Discussion: This was a case of lobar torsion in a patient with Marfan syndrome and the degree of connective tissue disease may have predisposed the patient to this rare surgical complication. The case presents a challenging dilemma due to the risks associated with exposing a synthetic aortic graft to a potentially infected space if lobar resection or a pneumonectomy was performed.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".