Hypertrophic Pulmonary Osteoarthropathy Diagnosed by FDG PET-CT in a Patient With Lung Adenocarcinoma
Why this work is in the frame
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Bibliographic record
Abstract
A 52-year-old man had a positron emission tomography computed tomography (PET-CT) scan for staging of a biopsy proven lung adenocarcinoma. An additional acquisition of the lower extremities was performed as the patient complained of bilateral leg pain. The PET-CT scan showed a 6.5 x 5.0 cm left upper lobe lung mass invading the mediastinum with maximal standardized uptake value of 10.7, compatible with primary lung cancer. The CT portion of the PET-CT of the legs showed extensive irregular bilateral periosteal new bone formation in the long bones. The PET images showed diffuse moderately increased FDG uptake in the periostea of the long bones of the legs, with some focal sites of more intense FDG uptake in the thicker portions of the periosteum. A bone scan showed mild hyperemia surrounding the long bones of the legs and intense Tc-99m MDP uptake in the periostea. The patient was diagnosed with hypertrophic pulmonary osteoarthropathy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it