Pulmonary Langerhans Cell Histiocytosis
Bibliographic record
Abstract
PURPOSE: Langerhans cell histiocytosis is a rare idiopathic disorder, characterized by the infiltration of 1 or more organs by large mononuclear cells. It can develop at any age. Pulmonary Langerhans cell histiocytosis (PLCH) is found more frequently and is better described in adults than in children. The PLCH findings on computed tomography (CT) scans include nodular opacities, thin-walled cysts (often bizarre in shape), and marked parenchymal fibrosis. The purpose of this study was to compare the chest CT findings between adults and children with PLCH. MATERIALS AND METHODS: We retrospectively analyzed the chest CT findings in a series of 7 children and 12 adults. Two independent observers reviewed the CT studies of all cases, and then correlated their observations. Statistical analysis was done with the Fisher exact test. RESULTS: The mean ages were 8 years (3 mo to 16 y) for the pediatric group and 39 years (21 to 59 y) for the adults. Extrapulmonary disease was present in 3 (43%) children and 1 (8.3%) adult. All the adults reported smoking, and only 1 pediatric patient (16 y old) had a history of smoking. The CT findings were characterized by the presence of cysts, fibrosis, and nodules, with the findings being similar in size and appearance for both populations. However, the distribution was different; the subpleural parenchyma in the costophrenic recess was spared in the entire adult group, but not spared in any of the pediatric patients. CONCLUSIONS: The CT findings of PLCH were similar in the adult and the pediatric populations, with the exception that costophrenic recess subpleural parenchyma was spared in the adult group but demonstrated pathology in the pediatric group.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".