High-Resolution Computed Tomography in Assessment of Patients With Emphysema
Bibliographic record
Abstract
OBJECTIVE: To assess whether high-resolution computed tomography (HRCT) variables are as good as other known clinical variables in grading emphysema patients. METHODS: A detailed clinical history was taken and physical examination performed. We performed serum study, lung function testing, and HRCT scanning to assess emphysema. Mean lung density, the attenuation value separating the least 15% of pixels (PERC15), the percentage of the relative area of the lungs with attenuation values < -950 Hounsfield units (HU) (RA950), and histogram analysis were calculated from computerized data. RESULTS: The final analysis was based on data from 92 subjects, and they were moderately emphysematous (mean lung density was -877 ± 23 HU, PERC15 was -953 ± 21 HU, and RA950 was 16 ± 5%). There was a significant difference regarding subjective emphysema severity in the St George's Respiratory Questionnaire, smoking history, FEV1, C-reactive protein, age, and body mass index (P < .001). There was a significant correlation between the 3 objective image variables and the 6 objective clinical variables (St George's Respiratory Questionnaire, smoking history, FEV1, C-reactive protein, age, and body mass index) (P < .001). CONCLUSIONS: This study shows the possible important role of HRCT in the diagnosis and quantification of pulmonary emphysema.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".