Severe Acute Respiratory Syndrome: Radiographic Review of 40 Probable Cases in Toronto, Canada
Bibliographic record
Abstract
PURPOSE: To review radiographic findings of patients with probable severe acute respiratory syndrome (SARS) who were seen at a University of Toronto (Ontario, Canada) teaching hospital. MATERIALS AND METHODS: Findings were reviewed for 40 patients who fulfilled the World Health Organization criteria for probable SARS. A template was designed for the analysis of each serial radiograph to observe patterns and distribution of disease, interval changes, and complications. The majority of radiographs were anteroposterior views. A clinical database of these patients was also collected for clinical-radiologic comparison. RESULTS: The mean age of the patients (18 male, 22 female) was 42.7 years. Patients had a normal chest radiograph and focal, multifocal, and/or bilateral consolidation. The pattern of consolidation tended to be peripheral and poorly marginated and involved middle and lower lung zones. The serial sequence fell into two major subgroups, which correlated closely with clinical outcome. Consolidation in one group cleared within a matter of days, while the second group went on to develop rapid and extensive bilateral pneumonia, with a prolonged hospital stay. Subsegmental atelectasis and pleural complications were rarely observed. CONCLUSION: SARS pneumonia can manifest as focal peripheral consolidation that clears relatively quickly and does not cause secondary complications or that progresses to bilateral consolidation and a more protracted clinical course.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".