Intraneural Ganglion Cysts of the Fibular Nerve: A Cause of Fluctuating Painful Foot Drop
Bibliographic record
Abstract
Fibular neuropathy, Intraneural ganglion cystFoot drop due to fibular (peroneal) neuropathy at the knee may be caused by direct trauma, external compression, or structural (intrinsic or extrinsic) mass lesions.We present here an unusual presentation of intraneural ganglion cyst.A 64-year-old female presented to our clinic for evaluation.She had no significant past medical history, and was able to run 10 km until the time of clinical presentation.The first symptom was a burning and stabbing discomfort in the upper lateral left calf region.She also noted a mild and intermittent foot drop, which was aggravated by walking or jogging.Nerve conduction studies done 6 months later showed partial and non-localized motor and sensory axonal loss in the common fibular nerve territory.Foot drop improved spontaneously with avoidance of strenuous activity.She presented for reassessment in 18 months after initial onset, reporting that her foot drop had markedly worsened.There was Medical Research Council grade 1/5 weakness of left ankle dorsiflexion and eversion, with sparing of ankle inversion and plantar flexion.There was mild hypoesthesia and allodynia along the left lateral calf and dorsum of the foot.Nerve conduction studies were repeated, showing more severe axonal loss in the deep (motor) and superficial (sensory) branches of the fibular nerve, without conduction slowing across the fibular head.An axonal process in
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| 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".