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Record W9648573 · doi:10.1155/2005/784750

Ventrolateral Partial Dorsal Root Entry Zone Rhizotomy for Occipital Neuralgia

2005· article· en· W9648573 on OpenAlexafffund
Serge Rasskazoff, Anthony M. Kaufmann

Bibliographic record

VenuePain Research and Management · 2005
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of ManitobaHealth Sciences CentreManitoba Health
FundersAbbott Canada
KeywordsRhizotomyOccipital neuralgiaDorsumMedicineAnatomyNeuralgiaAnesthesiaNeuropathic pain

Abstract

fetched live from OpenAlex

OBJECTIVE AND IMPORTANCE: Medically refractory occipital neuralgia (ON) has been treated with a variety of neuroablative procedures. The present case report supports the effectiveness of ventrolateral partial rhizotomy (pVL-DREZ) of the C1 to C3 cervical dorsal roots, a relatively unknown procedure. CLINICAL PRESENTATION: A 46-year-old woman had a 14-month history of severe right-sided ON. Multiple trials of medical treatments, nerve blocks and local steroid injections had failed. Her daily opioid requirements had escalated to include frequent injections in addition to prescribed oral opiates. INTERVENTION AND RESULTS: A pVL-DREZ at the right C1 to C3 level was performed through a C1 laminectomy and C2 right laminotomy. The ipsilateral upper cervical dorsal roots were exposed and a 1 mm deep incision was made at a 45 degrees angle to the sagittal midline at the ventrolateral aspect of each dorsal rootlet entry. The patient experienced postoperative opioid withdrawal seizure and transient disequilibrium for two weeks. Touch sensation was preserved and complete abolition of ON over a four year follow-up was achieved. CONCLUSION: The pVL-DREZ procedure provided complete pain relief for the patient and avoided the potential complications often encountered with other destructive interventions. pVL-DREZ should be considered among the available options for the treatment of refractory ON.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.336
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2005
Admission routes2
Has abstractyes

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