THE CYSTIC TRANSVERSE LIMB OF THE ARTICULAR BRANCH
Bibliographic record
Abstract
OBJECTIVE The preoperative diagnosis of peroneal intraneural ganglia has been difficult to establish and superior tibiofibular joint connections may not be identified. Misdiagnosis leads to incomplete treatment in that the articular branch connection may not be addressed which can result in cyst recurrences. METHODS We analyzed 20 surgically confirmed cases of paraarticular cysts arising from the superior tibiofibular joint to assess for joint connections and to determine common MRI characteristics in intraneural ganglia that would allow distinction from extraneural ganglia. We identified and tested 3 radiographic signs describing the cysts and analyzed cyst morphology (i.e, size, shape, pattern), muscle compartments affected (i.e., for denervation) and neighboring joints (for associated pathology). RESULTS Twelve cases of peroneal intraneural ganglia and 8 cases of extraneural ganglia were connected to the superior tibiofibular joint. Retrospective review confirmed that these cysts were frequently misdiagnosed and joint connections were often not recognized. The MR appearance of peroneal intraneural ganglia was stereotypic. These intraneural ganglia were tubular whereas the extraneural were more mass-like. The tail sign was 100% sensitive for identifying joint connections but could not distinguish between intra and extraneural cysts. The “transverse limb” sign [cystic material within the portion of the articular branch traversing the anterior surface of the fibula] was present in all cases of peroneal intraneural ganglia and none of the extraneural ganglia. The signet ring sign [the eccentric displacement of fascicles by cyst within the epineurium] was 100% sensitive for peroneal intraneural ganglia and 86% specific (it did not identify 2 cysts that did not extend more proximally into the common peroneal nerve). There was 100% interobserver concordance between the prospective interpretations by a blinded single radiologist and a trained first year medical student with intraoperative findings. In this series, muscle denervation was more common and more pronounced in the intraneural than extraneural ganglia. Abnormalities in neighboring joints were noted nearly universally. CONCLUSION This paper demonstrates reproducible MRI features which will easily allow one to identify the joint connection (the tail sign) in para-articular cysts and also to distinguish between peroneal intraneural and extraneural ganglia (the transverse limb sign and the signet ring sign) at the superior tibiofibular joint with accuracy and confidence with subsequent improvement in treatment and patient outcomes.
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 | 0.002 |
| 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) | 0.003 | 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".