Multiple Lumbar Pedicle Fractures in Osteopetrosis
Bibliographic record
Abstract
STUDY DESIGN: Single case report. OBJECTIVE: To report the observation of multiple lumbar pedicle fractures in a patient with osteopetrosis. SUMMARY OF BACKGROUND DATA: Osteopetrosis is characterized by osteoclast dysfunction, impaired bone resorption, and poor bone remodeling. As a result, the bone is brittle but hard and is referred to as "marble bone disease." Although long bone fractures are relatively common, fractures of the spine are rare. Spondylolysis has been reported in the cervical and lumbar spine, and pedicle fractures have been reported in the cervical spine. We report the case of a patient with autosomal dominant osteopetrosis with multiple lumbar pedicle fractures. To the best of our knowledge, there have been no previous reports of multiple lumbar pedicle fractures in osteopetrosis. METHODS: A 73-year-old woman, with a known history of osteopetrosis, presented with acute nonradiating low back pain following a bout of coughing. The lower limb neurology and bladder and bowel function were normal. The imaging findings, clinical course, and treatment are discussed. RESULTS: Initial computed tomography scans of the patient revealed the presence of multiple pedicle fractures with spondylolysis. The patient was advised bed rest for the first 3 days, and when the acute pain subsided, she was permitted to ambulate with a lumbosacral corset. The patient was asymptomatic for 8 months, when she was readmitted with another episode of acute low back pain. The CT scan revealed fresh fracture of the L4 pedicle, which was not seen on the previous scan. The pain settled down again with conservative measures. CONCLUSION: This case report discusses the rare occurrence of multiple lumbar pedicle fractures and pars interarticularis (spondylolysis) fractures in a patient with osteopetrosis.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".