Imaging in patients with chronic granulomatous disease
Bibliographic record
Abstract
Chronic granulomatous disease (CGD) is a primary immunodeficiency caused by defects in any of the subunits of nicotinamide adenine dinucleotide phosphate oxidase complex, required for proper phagocyte killing of bacteria and fungi. Most of the cases are X-linked, but autosomal recessive cases have also been identified. Patients suffer from recurrent, life-threatening infections and granulomatous inflammation of the skin, lymph nodes, lungs, liver, spleen, brain, and bones. CGD can be cured by hematopoietic stem cell transplantation. Imaging studies such as radiography, ultrasound, computed tomography, and magnetic resonance imaging play a key role in identifying the changes driven by both infection and dysregulated inflammation. These studies are critical for guiding management of this disorder. We present the most illustrative images from 7 patients with CGD. Statement of novelty: Imaging studies are highly useful for diagnosis, treatment, and follow-up of patients with CGD. We present images from children with CGD that manifested their disease in different organs and tissues, illustrating the typical location of infections and dysregulated inflammation in these types of patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".