Radiological findings of chest in patients with H7N9 avian influenza from a hospital
Bibliographic record
Abstract
Objective To analyze the chest X-ray and computed tomography (CT) findings of human infection with avian-origin influenza H7N9 virus from a hospital. Materials and methods Chest X-ray or CT was performed in five patients with H7N9 avian influenza within 2 weeks after onset. The chest imaging data and characteristics of five patients were analyzed retrospectively. Results Abnormal findings were shown on chest X-ray and CT images in all of the patients. The main abnormal findings included ground-glass opacities (GGOs) in all five cases, consolidations with air bronchograms and pleural effusion in four patients. In the early onset of four patients, the right lobe was more commonly affected (particularly in the right lower lobes). Over the course of disease, the lesions were rapidly progressed to bilateral lungs, and from focal or multifocal to diffuse. Ipsilateral pleural effusion also appeared and developed with the coexisting consolidation. Imaging findings closely reflected the overall clinical progression and severity of the disease. Conclusion With the right lower lobe prominence, the main abnormal findings in H7N9 pneumonia include rapidly progressive GGOs, consolidations with air bronchograms, and pleural effusion. CT imaging may provide a more accurate assessment of the lung pathology with H7N9 avian influenza, helping the early diagnosis and monitoring its progression.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".